describe the steps involved in conducting a marketing research project

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10.2 Steps in the Marketing Research Process

Learning objective.

• Describe the basic steps in the marketing research process and the purpose of each step.

The basic steps used to conduct marketing research are shown in Figure 10.6 “Steps in the Marketing Research Process” . Next, we discuss each step.

Figure 10.6 Steps in the Marketing Research Process

Step 1: Define the Problem (or Opportunity)

There’s a saying in marketing research that a problem half defined is a problem half solved. Defining the “problem” of the research sounds simple, doesn’t it? Suppose your product is tutoring other students in a subject you’re a whiz at. You have been tutoring for a while, and people have begun to realize you’re darned good at it. Then, suddenly, your business drops off. Or it explodes, and you can’t cope with the number of students you’re being asked help. If the business has exploded, should you try to expand your services? Perhaps you should subcontract with some other “whiz” students. You would send them students to be tutored, and they would give you a cut of their pay for each student you referred to them.

Both of these scenarios would be a problem for you, wouldn’t they? They are problems insofar as they cause you headaches. But are they really the problem? Or are they the symptoms of something bigger? For example, maybe your business has dropped off because your school is experiencing financial trouble and has lowered the number of scholarships given to incoming freshmen. Consequently, there are fewer total students on campus who need your services. Conversely, if you’re swamped with people who want you to tutor them, perhaps your school awarded more scholarships than usual, so there are a greater number of students who need your services. Alternately, perhaps you ran an ad in your school’s college newspaper, and that led to the influx of students wanting you to tutor them.

Businesses are in the same boat you are as a tutor. They take a look at symptoms and try to drill down to the potential causes. If you approach a marketing research company with either scenario—either too much or too little business—the firm will seek more information from you such as the following:

• In what semester(s) did your tutoring revenues fall (or rise)?
• In what subject areas did your tutoring revenues fall (or rise)?
• In what sales channels did revenues fall (or rise): Were there fewer (or more) referrals from professors or other students? Did the ad you ran result in fewer (or more) referrals this month than in the past months?
• Among what demographic groups did your revenues fall (or rise)—women or men, people with certain majors, or first-year, second-, third-, or fourth-year students?

The key is to look at all potential causes so as to narrow the parameters of the study to the information you actually need to make a good decision about how to fix your business if revenues have dropped or whether or not to expand it if your revenues have exploded.

The next task for the researcher is to put into writing the research objective. The research objective is the goal(s) the research is supposed to accomplish. The marketing research objective for your tutoring business might read as follows:

To survey college professors who teach 100- and 200-level math courses to determine why the number of students referred for tutoring dropped in the second semester.

This is admittedly a simple example designed to help you understand the basic concept. If you take a marketing research course, you will learn that research objectives get a lot more complicated than this. The following is an example:

“To gather information from a sample representative of the U.S. population among those who are ‘very likely’ to purchase an automobile within the next 6 months, which assesses preferences (measured on a 1–5 scale ranging from ‘very likely to buy’ to ‘not likely at all to buy’) for the model diesel at three different price levels. Such data would serve as input into a forecasting model that would forecast unit sales, by geographic regions of the country, for each combination of the model’s different prices and fuel configurations (Burns & Bush, 2010).”

Now do you understand why defining the problem is complicated and half the battle? Many a marketing research effort is doomed from the start because the problem was improperly defined. Coke’s ill-fated decision to change the formula of Coca-Cola in 1985 is a case in point: Pepsi had been creeping up on Coke in terms of market share over the years as well as running a successful promotional campaign called the “Pepsi Challenge,” in which consumers were encouraged to do a blind taste test to see if they agreed that Pepsi was better. Coke spent four years researching “the problem.” Indeed, people seemed to like the taste of Pepsi better in blind taste tests. Thus, the formula for Coke was changed. But the outcry among the public was so great that the new formula didn’t last long—a matter of months—before the old formula was reinstated. Some marketing experts believe Coke incorrectly defined the problem as “How can we beat Pepsi in taste tests?” instead of “How can we gain market share against Pepsi?” (Burns & Bush, 2010)

New Coke Is It! 1985

(click to see video)

This video documents the Coca-Cola Company’s ill-fated launch of New Coke in 1985.

1985 Pepsi Commercial—“They Changed My Coke”

This video shows how Pepsi tried to capitalize on the blunder.

Step 2: Design the Research

The next step in the marketing research process is to do a research design. The research design is your “plan of attack.” It outlines what data you are going to gather and from whom, how and when you will collect the data, and how you will analyze it once it’s been obtained. Let’s look at the data you’re going to gather first.

There are two basic types of data you can gather. The first is primary data. Primary data is information you collect yourself, using hands-on tools such as interviews or surveys, specifically for the research project you’re conducting. Secondary data is data that has already been collected by someone else, or data you have already collected for another purpose. Collecting primary data is more time consuming, work intensive, and expensive than collecting secondary data. Consequently, you should always try to collect secondary data first to solve your research problem, if you can. A great deal of research on a wide variety of topics already exists. If this research contains the answer to your question, there is no need for you to replicate it. Why reinvent the wheel?

Sources of Secondary Data

Your company’s internal records are a source of secondary data. So are any data you collect as part of your marketing intelligence gathering efforts. You can also purchase syndicated research. Syndicated research is primary data that marketing research firms collect on a regular basis and sell to other companies. J.D. Power & Associates is a provider of syndicated research. The company conducts independent, unbiased surveys of customer satisfaction, product quality, and buyer behavior for various industries. The company is best known for its research in the automobile sector. One of the best-known sellers of syndicated research is the Nielsen Company, which produces the Nielsen ratings. The Nielsen ratings measure the size of television, radio, and newspaper audiences in various markets. You have probably read or heard about TV shows that get the highest (Nielsen) ratings. (Arbitron does the same thing for radio ratings.) Nielsen, along with its main competitor, Information Resources, Inc. (IRI), also sells businesses scanner-based research . Scanner-based research is information collected by scanners at checkout stands in stores. Each week Nielsen and IRI collect information on the millions of purchases made at stores. The companies then compile the information and sell it to firms in various industries that subscribe to their services. The Nielsen Company has also recently teamed up with Facebook to collect marketing research information. Via Facebook, users will see surveys in some of the spaces in which they used to see online ads (Rappeport, Gelles, 2009).

By contrast, MarketResearch.com is an example of a marketing research aggregator. A marketing research aggregator is a marketing research company that doesn’t conduct its own research and sell it. Instead, it buys research reports from other marketing research companies and then sells the reports in their entirety or in pieces to other firms. Check out MarketResearch.com’s Web site. As you will see there are a huge number of studies in every category imaginable that you can buy for relatively small amounts of money.

Figure 10.7

Market research aggregators buy research reports from other marketing research companies and then resell them in part or in whole to other companies so they don’t have to gather primary data.

Source: http://www.marketresearch.com .

Your local library is a good place to gather free secondary data. It has searchable databases as well as handbooks, dictionaries, and books, some of which you can access online. Government agencies also collect and report information on demographics, economic and employment data, health information, and balance-of-trade statistics, among a lot of other information. The U.S. Census Bureau collects census data every ten years to gather information about who lives where. Basic demographic information about sex, age, race, and types of housing in which people live in each U.S. state, metropolitan area, and rural area is gathered so that population shifts can be tracked for various purposes, including determining the number of legislators each state should have in the U.S. House of Representatives. For the U.S. government, this is primary data. For marketing managers it is an important source of secondary data.

The Survey Research Center at the University of Michigan also conducts periodic surveys and publishes information about trends in the United States. One research study the center continually conducts is called the “Changing Lives of American Families” ( http://www.isr.umich.edu/home/news/research-update/2007-01.pdf ). This is important research data for marketing managers monitoring consumer trends in the marketplace. The World Bank and the United Nations are two international organizations that collect a great deal of information. Their Web sites contain many free research studies and data related to global markets. Table 10.1 “Examples of Primary Data Sources versus Secondary Data Sources” shows some examples of primary versus secondary data sources.

Table 10.1 Examples of Primary Data Sources versus Secondary Data Sources

Gauging the Quality of Secondary Data

When you are gathering secondary information, it’s always good to be a little skeptical of it. Sometimes studies are commissioned to produce the result a client wants to hear—or wants the public to hear. For example, throughout the twentieth century, numerous studies found that smoking was good for people’s health. The problem was the studies were commissioned by the tobacco industry. Web research can also pose certain hazards. There are many biased sites that try to fool people that they are providing good data. Often the data is favorable to the products they are trying to sell. Beware of product reviews as well. Unscrupulous sellers sometimes get online and create bogus ratings for products. See below for questions you can ask to help gauge the credibility of secondary information.

Gauging the Credibility of Secondary Data: Questions to Ask

• Who gathered this information?
• For what purpose?
• What does the person or organization that gathered the information have to gain by doing so?
• Was the information gathered and reported in a systematic manner?
• Is the source of the information accepted as an authority by other experts in the field?
• Does the article provide objective evidence to support the position presented?

Types of Research Design

Now let’s look specifically at the types of research designs that are utilized. By understanding different types of research designs, a researcher can solve a client’s problems more quickly and efficiently without jumping through more hoops than necessary. Research designs fall into one of the following three categories:

• Exploratory research design
• Descriptive research design
• Causal research design (experiments)

An exploratory research design is useful when you are initially investigating a problem but you haven’t defined it well enough to do an in-depth study of it. Perhaps via your regular market intelligence, you have spotted what appears to be a new opportunity in the marketplace. You would then do exploratory research to investigate it further and “get your feet wet,” as the saying goes. Exploratory research is less structured than other types of research, and secondary data is often utilized.

One form of exploratory research is qualitative research. Qualitative research is any form of research that includes gathering data that is not quantitative, and often involves exploring questions such as why as much as what or how much . Different forms, such as depth interviews and focus group interviews, are common in marketing research.

The depth interview —engaging in detailed, one-on-one, question-and-answer sessions with potential buyers—is an exploratory research technique. However, unlike surveys, the people being interviewed aren’t asked a series of standard questions. Instead the interviewer is armed with some general topics and asks questions that are open ended, meaning that they allow the interviewee to elaborate. “How did you feel about the product after you purchased it?” is an example of a question that might be asked. A depth interview also allows a researcher to ask logical follow-up questions such as “Can you tell me what you mean when you say you felt uncomfortable using the service?” or “Can you give me some examples?” to help dig further and shed additional light on the research problem. Depth interviews can be conducted in person or over the phone. The interviewer either takes notes or records the interview.

Focus groups and case studies are often utilized for exploratory research as well. A focus group is a group of potential buyers who are brought together to discuss a marketing research topic with one another. A moderator is used to focus the discussion, the sessions are recorded, and the main points of consensus are later summarized by the market researcher. Textbook publishers often gather groups of professors at educational conferences to participate in focus groups. However, focus groups can also be conducted on the telephone, in online chat rooms, or both, using meeting software like WebEx. The basic steps of conducting a focus group are outlined below.

The Basic Steps of Conducting a Focus Group

• Establish the objectives of the focus group. What is its purpose?
• Identify the people who will participate in the focus group. What makes them qualified to participate? How many of them will you need and what they will be paid?
• Obtain contact information for the participants and send out invitations (usually e-mails are most efficient).
• Develop a list of questions.
• Choose a facilitator.
• Choose a location in which to hold the focus group and the method by which it will be recorded.
• Conduct the focus group. If the focus group is not conducted electronically, include name tags for the participants, pens and notepads, any materials the participants need to see, and refreshments. Record participants’ responses.
• Summarize the notes from the focus group and write a report for management.

A case study looks at how another company solved the problem that’s being researched. Sometimes multiple cases, or companies, are used in a study. Case studies nonetheless have a mixed reputation. Some researchers believe it’s hard to generalize, or apply, the results of a case study to other companies. Nonetheless, collecting information about companies that encountered the same problems your firm is facing can give you a certain amount of insight about what direction you should take. In fact, one way to begin a research project is to carefully study a successful product or service.

Two other types of qualitative data used for exploratory research are ethnographies and projective techniques. In an ethnography , researchers interview, observe, and often videotape people while they work, live, shop, and play. The Walt Disney Company has recently begun using ethnographers to uncover the likes and dislikes of boys aged six to fourteen, a financially attractive market segment for Disney, but one in which the company has been losing market share. The ethnographers visit the homes of boys, observe the things they have in their rooms to get a sense of their hobbies, and accompany them and their mothers when they shop to see where they go, what the boys are interested in, and what they ultimately buy. (The children get seventy-five dollars out of the deal, incidentally.) (Barnes, 2009)

Projective techniques are used to reveal information research respondents might not reveal by being asked directly. Asking a person to complete sentences such as the following is one technique:

People who buy Coach handbags __________.

(Will he or she reply with “are cool,” “are affluent,” or “are pretentious,” for example?)

KFC’s grilled chicken is ______.

Or the person might be asked to finish a story that presents a certain scenario. Word associations are also used to discern people’s underlying attitudes toward goods and services. Using a word-association technique, a market researcher asks a person to say or write the first word that comes to his or her mind in response to another word. If the initial word is “fast food,” what word does the person associate it with or respond with? Is it “McDonald’s”? If many people reply that way, and you’re conducting research for Burger King, that could indicate Burger King has a problem. However, if the research is being conducted for Wendy’s, which recently began running an advertising campaign to the effect that Wendy’s offerings are “better than fast food,” it could indicate that the campaign is working.

Completing cartoons is yet another type of projective technique. It’s similar to finishing a sentence or story, only with the pictures. People are asked to look at a cartoon such as the one shown in Figure 10.8 “Example of a Cartoon-Completion Projective Technique” . One of the characters in the picture will have made a statement, and the person is asked to fill in the empty cartoon “bubble” with how they think the second character will respond.

Figure 10.8 Example of a Cartoon-Completion Projective Technique

In some cases, your research might end with exploratory research. Perhaps you have discovered your organization lacks the resources needed to produce the product. In other cases, you might decide you need more in-depth, quantitative research such as descriptive research or causal research, which are discussed next. Most marketing research professionals advise using both types of research, if it’s feasible. On the one hand, the qualitative-type research used in exploratory research is often considered too “lightweight.” Remember earlier in the chapter when we discussed telephone answering machines and the hit TV sitcom Seinfeld ? Both product ideas were initially rejected by focus groups. On the other hand, relying solely on quantitative information often results in market research that lacks ideas.

The Stone Wheel—What One Focus Group Said

Watch the video to see a funny spoof on the usefulness—or lack of usefulness—of focus groups.

Descriptive Research

Anything that can be observed and counted falls into the category of descriptive research design. A study using a descriptive research design involves gathering hard numbers, often via surveys, to describe or measure a phenomenon so as to answer the questions of who , what , where , when , and how . “On a scale of 1–5, how satisfied were you with your service?” is a question that illustrates the information a descriptive research design is supposed to capture.

Physiological measurements also fall into the category of descriptive design. Physiological measurements measure people’s involuntary physical responses to marketing stimuli, such as an advertisement. Elsewhere, we explained that researchers have gone so far as to scan the brains of consumers to see what they really think about products versus what they say about them. Eye tracking is another cutting-edge type of physiological measurement. It involves recording the movements of a person’s eyes when they look at some sort of stimulus, such as a banner ad or a Web page. The Walt Disney Company has a research facility in Austin, Texas, that it uses to take physical measurements of viewers when they see Disney programs and advertisements. The facility measures three types of responses: people’s heart rates, skin changes, and eye movements (eye tracking) (Spangler, 2009).

Figure 10.9

A woman shows off her headgear for an eye-tracking study. The gear’s not exactly a fashion statement but . . .

lawrencegs – Google Glass – CC BY 2.0.

A strictly descriptive research design instrument—a survey, for example—can tell you how satisfied your customers are. It can’t, however, tell you why. Nor can an eye-tracking study tell you why people’s eyes tend to dwell on certain types of banner ads—only that they do. To answer “why” questions an exploratory research design or causal research design is needed (Wagner, 2007).

Causal Research

Causal research design examines cause-and-effect relationships. Using a causal research design allows researchers to answer “what if” types of questions. In other words, if a firm changes X (say, a product’s price, design, placement, or advertising), what will happen to Y (say, sales or customer loyalty)? To conduct causal research, the researcher designs an experiment that “controls,” or holds constant, all of a product’s marketing elements except one (or using advanced techniques of research, a few elements can be studied at the same time). The one variable is changed, and the effect is then measured. Sometimes the experiments are conducted in a laboratory using a simulated setting designed to replicate the conditions buyers would experience. Or the experiments may be conducted in a virtual computer setting.

You might think setting up an experiment in a virtual world such as the online game Second Life would be a viable way to conduct controlled marketing research. Some companies have tried to use Second Life for this purpose, but the results have been somewhat mixed as to whether or not it is a good medium for marketing research. The German marketing research firm Komjuniti was one of the first “real-world” companies to set up an “island” in Second Life upon which it could conduct marketing research. However, with so many other attractive fantasy islands in which to play, the company found it difficult to get Second Life residents, or players, to voluntarily visit the island and stay long enough so meaningful research could be conducted. (Plus, the “residents,” or players, in Second Life have been known to protest corporations invading their world. When the German firm Komjuniti created an island in Second Life to conduct marketing research, the residents showed up waving signs and threatening to boycott the island.) (Wagner, 2007)

Why is being able to control the setting so important? Let’s say you are an American flag manufacturer and you are working with Walmart to conduct an experiment to see where in its stores American flags should be placed so as to increase their sales. Then the terrorist attacks of 9/11 occur. In the days afterward, sales skyrocketed—people bought flags no matter where they were displayed. Obviously, the terrorist attacks in the United States would have skewed the experiment’s data.

An experiment conducted in a natural setting such as a store is referred to as a field experiment . Companies sometimes do field experiments either because it is more convenient or because they want to see if buyers will behave the same way in the “real world” as in a laboratory or on a computer. The place the experiment is conducted or the demographic group of people the experiment is administered to is considered the test market . Before a large company rolls out a product to the entire marketplace, it will often place the offering in a test market to see how well it will be received. For example, to compete with MillerCoors’ sixty-four-calorie beer MGD 64, Anheuser-Busch recently began testing its Select 55 beer in certain cities around the country (McWilliams, 2009).

Figure 10.10

Select 55 beer: Coming soon to a test market near you? (If you’re on a diet, you have to hope so!)

Martine – Le champagne – CC BY-NC 2.0.

Many companies use experiments to test all of their marketing communications. For example, the online discount retailer O.co (formerly called Overstock.com) carefully tests all of its marketing offers and tracks the results of each one. One study the company conducted combined twenty-six different variables related to offers e-mailed to several thousand customers. The study resulted in a decision to send a group of e-mails to different segments. The company then tracked the results of the sales generated to see if they were in line with the earlier experiment it had conducted that led it to make the offer.

Step 3: Design the Data-Collection Forms

If the behavior of buyers is being formally observed, and a number of different researchers are conducting observations, the data obviously need to be recorded on a standardized data-collection form that’s either paper or electronic. Otherwise, the data collected will not be comparable. The items on the form could include a shopper’s sex; his or her approximate age; whether the person seemed hurried, moderately hurried, or unhurried; and whether or not he or she read the label on products, used coupons, and so forth.

The same is true when it comes to surveying people with questionnaires. Surveying people is one of the most commonly used techniques to collect quantitative data. Surveys are popular because they can be easily administered to large numbers of people fairly quickly. However, to produce the best results, the questionnaire for the survey needs to be carefully designed.

Questionnaire Design

Most questionnaires follow a similar format: They begin with an introduction describing what the study is for, followed by instructions for completing the questionnaire and, if necessary, returning it to the market researcher. The first few questions that appear on the questionnaire are usually basic, warm-up type of questions the respondent can readily answer, such as the respondent’s age, level of education, place of residence, and so forth. The warm-up questions are then followed by a logical progression of more detailed, in-depth questions that get to the heart of the question being researched. Lastly, the questionnaire wraps up with a statement that thanks the respondent for participating in the survey and information and explains when and how they will be paid for participating. To see some examples of questionnaires and how they are laid out, click on the following link: http://cas.uah.edu/wrenb/mkt343/Project/Sample%20Questionnaires.htm .

How the questions themselves are worded is extremely important. It’s human nature for respondents to want to provide the “correct” answers to the person administering the survey, so as to seem agreeable. Therefore, there is always a hazard that people will try to tell you what you want to hear on a survey. Consequently, care needs to be taken that the survey questions are written in an unbiased, neutral way. In other words, they shouldn’t lead a person taking the questionnaire to answer a question one way or another by virtue of the way you have worded it. The following is an example of a leading question.

Don’t you agree that teachers should be paid more ?

The questions also need to be clear and unambiguous. Consider the following question:

Which brand of toothpaste do you use ?

The question sounds clear enough, but is it really? What if the respondent recently switched brands? What if she uses Crest at home, but while away from home or traveling, she uses Colgate’s Wisp portable toothpaste-and-brush product? How will the respondent answer the question? Rewording the question as follows so it’s more specific will help make the question clearer:

Which brand of toothpaste have you used at home in the past six months? If you have used more than one brand, please list each of them 1 .

Sensitive questions have to be asked carefully. For example, asking a respondent, “Do you consider yourself a light, moderate, or heavy drinker?” can be tricky. Few people want to admit to being heavy drinkers. You can “soften” the question by including a range of answers, as the following example shows:

How many alcoholic beverages do you consume in a week ?

• __0–5 alcoholic beverages
• __5–10 alcoholic beverages
• __10–15 alcoholic beverages

Many people don’t like to answer questions about their income levels. Asking them to specify income ranges rather than divulge their actual incomes can help.

Other research question “don’ts” include using jargon and acronyms that could confuse people. “How often do you IM?” is an example. Also, don’t muddy the waters by asking two questions in the same question, something researchers refer to as a double-barreled question . “Do you think parents should spend more time with their children and/or their teachers?” is an example of a double-barreled question.

Open-ended questions , or questions that ask respondents to elaborate, can be included. However, they are harder to tabulate than closed-ended questions , or questions that limit a respondent’s answers. Multiple-choice and yes-and-no questions are examples of closed-ended questions.

Testing the Questionnaire

You have probably heard the phrase “garbage in, garbage out.” If the questions are bad, the information gathered will be bad, too. One way to make sure you don’t end up with garbage is to test the questionnaire before sending it out to find out if there are any problems with it. Is there enough space for people to elaborate on open-ended questions? Is the font readable? To test the questionnaire, marketing research professionals first administer it to a number of respondents face to face. This gives the respondents the chance to ask the researcher about questions or instructions that are unclear or don’t make sense to them. The researcher then administers the questionnaire to a small subset of respondents in the actual way the survey is going to be disseminated, whether it’s delivered via phone, in person, by mail, or online.

Getting people to participate and complete questionnaires can be difficult. If the questionnaire is too long or hard to read, many people won’t complete it. So, by all means, eliminate any questions that aren’t necessary. Of course, including some sort of monetary incentive for completing the survey can increase the number of completed questionnaires a market researcher will receive.

Step 4: Specify the Sample

Once you have created your questionnaire or other marketing study, how do you figure out who should participate in it? Obviously, you can’t survey or observe all potential buyers in the marketplace. Instead, you must choose a sample. A sample is a subset of potential buyers that are representative of your entire target market, or population being studied. Sometimes market researchers refer to the population as the universe to reflect the fact that it includes the entire target market, whether it consists of a million people, a hundred thousand, a few hundred, or a dozen. “All unmarried people over the age of eighteen who purchased Dirt Devil steam cleaners in the United States during 2011” is an example of a population that has been defined.

Obviously, the population has to be defined correctly. Otherwise, you will be studying the wrong group of people. Not defining the population correctly can result in flawed research, or sampling error. A sampling error is any type of marketing research mistake that results because a sample was utilized. One criticism of Internet surveys is that the people who take these surveys don’t really represent the overall population. On average, Internet survey takers tend to be more educated and tech savvy. Consequently, if they solely constitute your population, even if you screen them for certain criteria, the data you collect could end up being skewed.

The next step is to put together the sampling frame , which is the list from which the sample is drawn. The sampling frame can be put together using a directory, customer list, or membership roster (Wrenn et. al., 2007). Keep in mind that the sampling frame won’t perfectly match the population. Some people will be included on the list who shouldn’t be. Other people who should be included will be inadvertently omitted. It’s no different than if you were to conduct a survey of, say, 25 percent of your friends, using friends’ names you have in your cell phone. Most of your friends’ names are likely to be programmed into your phone, but not all of them. As a result, a certain degree of sampling error always occurs.

There are two main categories of samples in terms of how they are drawn: probability samples and nonprobability samples. A probability sample is one in which each would-be participant has a known and equal chance of being selected. The chance is known because the total number of people in the sampling frame is known. For example, if every other person from the sampling frame were chosen, each person would have a 50 percent chance of being selected.

A nonprobability sample is any type of sample that’s not drawn in a systematic way. So the chances of each would-be participant being selected can’t be known. A convenience sample is one type of nonprobability sample. It is a sample a researcher draws because it’s readily available and convenient to do so. Surveying people on the street as they pass by is an example of a convenience sample. The question is, are these people representative of the target market?

For example, suppose a grocery store needed to quickly conduct some research on shoppers to get ready for an upcoming promotion. Now suppose that the researcher assigned to the project showed up between the hours of 10 a.m. and 12 p.m. on a weekday and surveyed as many shoppers as possible. The problem is that the shoppers wouldn’t be representative of the store’s entire target market. What about commuters who stop at the store before and after work? Their views wouldn’t be represented. Neither would people who work the night shift or shop at odd hours. As a result, there would be a lot of room for sampling error in this study. For this reason, studies that use nonprobability samples aren’t considered as accurate as studies that use probability samples. Nonprobability samples are more often used in exploratory research.

Lastly, the size of the sample has an effect on the amount of sampling error. Larger samples generally produce more accurate results. The larger your sample is, the more data you will have, which will give you a more complete picture of what you’re studying. However, the more people surveyed or studied, the more costly the research becomes.

Statistics can be used to determine a sample’s optimal size. If you take a marketing research or statistics class, you will learn more about how to determine the optimal size.

Of course, if you hire a marketing research company, much of this work will be taken care of for you. Many marketing research companies, like ResearchNow, maintain panels of prescreened people they draw upon for samples. In addition, the marketing research firm will be responsible for collecting the data or contracting with a company that specializes in data collection. Data collection is discussed next.

Step 5: Collect the Data

As we have explained, primary marketing research data can be gathered in a number of ways. Surveys, taking physical measurements, and observing people are just three of the ways we discussed. If you’re observing customers as part of gathering the data, keep in mind that if shoppers are aware of the fact, it can have an effect on their behavior. For example, if a customer shopping for feminine hygiene products in a supermarket aisle realizes she is being watched, she could become embarrassed and leave the aisle, which would adversely affect your data. To get around problems such as these, some companies set up cameras or two-way mirrors to observe customers. Organizations also hire mystery shoppers to work around the problem. A mystery shopper is someone who is paid to shop at a firm’s establishment or one of its competitors to observe the level of service, cleanliness of the facility, and so forth, and report his or her findings to the firm.

Make Extra Money as a Mystery Shopper

Watch the YouTube video to get an idea of how mystery shopping works.

Survey data can be collected in many different ways and combinations of ways. The following are the basic methods used:

• Face-to-face (can be computer aided)
• Telephone (can be computer aided or completely automated)
• Mail and hand delivery
• E-mail and the Web

A face-to-face survey is, of course, administered by a person. The surveys are conducted in public places such as in shopping malls, on the street, or in people’s homes if they have agreed to it. In years past, it was common for researchers in the United States to knock on people’s doors to gather survey data. However, randomly collected door-to-door interviews are less common today, partly because people are afraid of crime and are reluctant to give information to strangers (McDaniel & Gates, 1998).

Nonetheless, “beating the streets” is still a legitimate way questionnaire data is collected. When the U.S. Census Bureau collects data on the nation’s population, it hand delivers questionnaires to rural households that do not have street-name and house-number addresses. And Census Bureau workers personally survey the homeless to collect information about their numbers. Face-to-face surveys are also commonly used in third world countries to collect information from people who cannot read or lack phones and computers.

A plus of face-to-face surveys is that they allow researchers to ask lengthier, more complex questions because the people being surveyed can see and read the questionnaires. The same is true when a computer is utilized. For example, the researcher might ask the respondent to look at a list of ten retail stores and rank the stores from best to worst. The same question wouldn’t work so well over the telephone because the person couldn’t see the list. The question would have to be rewritten. Another drawback with telephone surveys is that even though federal and state “do not call” laws generally don’t prohibit companies from gathering survey information over the phone, people often screen such calls using answering machines and caller ID.

Probably the biggest drawback of both surveys conducted face-to-face and administered over the phone by a person is that they are labor intensive and therefore costly. Mailing out questionnaires is costly, too, and the response rates can be rather low. Think about why that might be so: if you receive a questionnaire in the mail, it is easy to throw it in the trash; it’s harder to tell a market researcher who approaches you on the street that you don’t want to be interviewed.

By contrast, gathering survey data collected by a computer, either over the telephone or on the Internet, can be very cost-effective and in some cases free. SurveyMonkey and Zoomerang are two Web sites that will allow you to create online questionnaires, e-mail them to up to one hundred people for free, and view the responses in real time as they come in. For larger surveys, you have to pay a subscription price of a few hundred dollars. But that still can be extremely cost-effective. The two Web sites also have a host of other features such as online-survey templates you can use to create your questionnaire, a way to set up automatic reminders sent to people who haven’t yet completed their surveys, and tools you can use to create graphics to put in your final research report. To see how easy it is to put together a survey in SurveyMonkey, click on the following link: http://help.surveymonkey.com/app/tutorials/detail/a_id/423 .

Like a face-to-face survey, an Internet survey can enable you to show buyers different visuals such as ads, pictures, and videos of products and their packaging. Web surveys are also fast, which is a major plus. Whereas face-to-face and mailed surveys often take weeks to collect, you can conduct a Web survey in a matter of days or even hours. And, of course, because the information is electronically gathered it can be automatically tabulated. You can also potentially reach a broader geographic group than you could if you had to personally interview people. The Zoomerang Web site allows you to create surveys in forty different languages.

Another plus for Web and computer surveys (and electronic phone surveys) is that there is less room for human error because the surveys are administered electronically. For instance, there’s no risk that the interviewer will ask a question wrong or use a tone of voice that could mislead the respondents. Respondents are also likely to feel more comfortable inputting the information into a computer if a question is sensitive than they would divulging the information to another person face-to-face or over the phone. Given all of these advantages, it’s not surprising that the Internet is quickly becoming the top way to collect primary data. However, like mail surveys, surveys sent to people over the Internet are easy to ignore.

Lastly, before the data collection process begins, the surveyors and observers need to be trained to look for the same things, ask questions the same way, and so forth. If they are using rankings or rating scales, they need to be “on the same page,” so to speak, as to what constitutes a high ranking or a low ranking. As an analogy, you have probably had some teachers grade your college papers harder than others. The goal of training is to avoid a wide disparity between how different observers and interviewers record the data.

Figure 10.11

Training people so they know what constitutes different ratings when they are collecting data will improve the quality of the information gathered in a marketing research study.

Ricardo Rodriquez – Satisfaction survey – CC BY-NC-ND 2.0.

For example, if an observation form asks the observers to describe whether a shopper’s behavior is hurried, moderately hurried, or unhurried, they should be given an idea of what defines each rating. Does it depend on how much time the person spends in the store or in the individual aisles? How fast they walk? In other words, the criteria and ratings need to be spelled out.

Collecting International Marketing Research Data

Gathering marketing research data in foreign countries poses special challenges. However, that doesn’t stop firms from doing so. Marketing research companies are located all across the globe, in fact. Eight of the ten largest marketing research companies in the world are headquartered in the United States. However, five of these eight firms earn more of their revenues abroad than they do in the United States. There’s a reason for this: many U.S. markets were saturated, or tapped out, long ago in terms of the amount that they can grow. Coke is an example. As you learned earlier in the book, most of the Coca-Cola Company’s revenues are earned in markets abroad. To be sure, the United States is still a huge market when it comes to the revenues marketing research firms generate by conducting research in the country: in terms of their spending, American consumers fuel the world’s economic engine. Still, emerging countries with growing middle classes, such as China, India, and Brazil, are hot new markets companies want to tap.

What kind of challenges do firms face when trying to conduct marketing research abroad? As we explained, face-to-face surveys are commonly used in third world countries to collect information from people who cannot read or lack phones and computers. However, face-to-face surveys are also common in Europe, despite the fact that phones and computers are readily available. In-home surveys are also common in parts of Europe. By contrast, in some countries, including many Asian countries, it’s considered taboo or rude to try to gather information from strangers either face-to-face or over the phone. In many Muslim countries, women are forbidden to talk to strangers.

And how do you figure out whom to research in foreign countries? That in itself is a problem. In the United States, researchers often ask if they can talk to the heads of households to conduct marketing research. But in countries in which domestic servants or employees are common, the heads of households aren’t necessarily the principal shoppers; their domestic employees are (Malhotra).

Translating surveys is also an issue. Have you ever watched the TV comedians Jay Leno and David Letterman make fun of the English translations found on ethnic menus and products? Research tools such as surveys can suffer from the same problem. Hiring someone who is bilingual to translate a survey into another language can be a disaster if the person isn’t a native speaker of the language to which the survey is being translated.

One way companies try to deal with translation problems is by using back translation. When back translation is used, a native speaker translates the survey into the foreign language and then translates it back again to the original language to determine if there were gaps in meaning—that is, if anything was lost in translation. And it’s not just the language that’s an issue. If the research involves any visual images, they, too, could be a point of confusion. Certain colors, shapes, and symbols can have negative connotations in other countries. For example, the color white represents purity in many Western cultures, but in China, it is the color of death and mourning (Zouhali-Worrall, 2008). Also, look back at the cartoon-completion exercise in Figure 10.8 “Example of a Cartoon-Completion Projective Technique” . What would women in Muslim countries who aren’t allowed to converse with male sellers think of it? Chances are, the cartoon wouldn’t provide you with the information you’re seeking if Muslim women in some countries were asked to complete it.

One way marketing research companies are dealing with the complexities of global research is by merging with or acquiring marketing research companies abroad. The Nielsen Company is the largest marketing research company in the world. The firm operates in more than a hundred countries and employs more than forty thousand people. Many of its expansions have been the result of acquisitions and mergers.

Step 6: Analyze the Data

Step 6 involves analyzing the data to ensure it’s as accurate as possible. If the research is collected by hand using a pen and pencil, it’s entered into a computer. Or respondents might have already entered the information directly into a computer. For example, when Toyota goes to an event such as a car show, the automaker’s marketing personnel ask would-be buyers to complete questionnaires directly on computers. Companies are also beginning to experiment with software that can be used to collect data using mobile phones.

Once all the data is collected, the researchers begin the data cleaning , which is the process of removing data that have accidentally been duplicated (entered twice into the computer) or correcting data that have obviously been recorded wrong. A program such as Microsoft Excel or a statistical program such as Predictive Analytics Software (PASW, which was formerly known as SPSS) is then used to tabulate, or calculate, the basic results of the research, such as the total number of participants and how collectively they answered various questions. The programs can also be used to calculate averages, such as the average age of respondents, their average satisfaction, and so forth. The same can done for percentages, and other values you learned about, or will learn about, in a statistics course, such as the standard deviation, mean, and median for each question.

The information generated by the programs can be used to draw conclusions, such as what all customers might like or not like about an offering based on what the sample group liked or did not like. The information can also be used to spot differences among groups of people. For example, the research might show that people in one area of the country like the product better than people in another area. Trends to predict what might happen in the future can also be spotted.

If there are any open-ended questions respondents have elaborated upon—for example, “Explain why you like the current brand you use better than any other brand”—the answers to each are pasted together, one on top of another, so researchers can compare and summarize the information. As we have explained, qualitative information such as this can give you a fuller picture of the results of the research.

Part of analyzing the data is to see if it seems sound. Does the way in which the research was conducted seem sound? Was the sample size large enough? Are the conclusions that become apparent from it reasonable?

The two most commonly used criteria used to test the soundness of a study are (1) validity and (2) reliability. A study is valid if it actually tested what it was designed to test. For example, did the experiment you ran in Second Life test what it was designed to test? Did it reflect what could really happen in the real world? If not, the research isn’t valid. If you were to repeat the study, and get the same results (or nearly the same results), the research is said to be reliable . If you get a drastically different result if you repeat the study, it’s not reliable. The data collected, or at least some it, can also be compared to, or reconciled with, similar data from other sources either gathered by your firm or by another organization to see if the information seems on target.

Stage 7: Write the Research Report and Present Its Findings

If you end up becoming a marketing professional and conducting a research study after you graduate, hopefully you will do a great job putting the study together. You will have defined the problem correctly, chosen the right sample, collected the data accurately, analyzed it, and your findings will be sound. At that point, you will be required to write the research report and perhaps present it to an audience of decision makers. You will do so via a written report and, in some cases, a slide or PowerPoint presentation based on your written report.

The six basic elements of a research report are as follows.

• Title Page . The title page explains what the report is about, when it was conducted and by whom, and who requested it.
• Table of Contents . The table of contents outlines the major parts of the report, as well as any graphs and charts, and the page numbers on which they can be found.
• Executive Summary . The executive summary summarizes all the details in the report in a very quick way. Many people who receive the report—both executives and nonexecutives—won’t have time to read the entire report. Instead, they will rely on the executive summary to quickly get an idea of the study’s results and what to do about those results.

Methodology and Limitations . The methodology section of the report explains the technical details of how the research was designed and conducted. The section explains, for example, how the data was collected and by whom, the size of the sample, how it was chosen, and whom or what it consisted of (e.g., the number of women versus men or children versus adults). It also includes information about the statistical techniques used to analyze the data.

Every study has errors—sampling errors, interviewer errors, and so forth. The methodology section should explain these details, so decision makers can consider their overall impact. The margin of error is the overall tendency of the study to be off kilter—that is, how far it could have gone wrong in either direction. Remember how newscasters present the presidential polls before an election? They always say, “This candidate is ahead 48 to 44 percent, plus or minus 2 percent.” That “plus or minus” is the margin of error. The larger the margin of error is, the less likely the results of the study are accurate. The margin of error needs to be included in the methodology section.

• Findings . The findings section is a longer, fleshed-out version of the executive summary that goes into more detail about the statistics uncovered by the research that bolster the study’s findings. If you have related research or secondary data on hand that back up the findings, it can be included to help show the study did what it was designed to do.
• Recommendations . The recommendations section should outline the course of action you think should be taken based on the findings of the research and the purpose of the project. For example, if you conducted a global market research study to identify new locations for stores, make a recommendation for the locations (Mersdorf, 2009).

As we have said, these are the basic sections of a marketing research report. However, additional sections can be added as needed. For example, you might need to add a section on the competition and each firm’s market share. If you’re trying to decide on different supply chain options, you will need to include a section on that topic.

As you write the research report, keep your audience in mind. Don’t use technical jargon decision makers and other people reading the report won’t understand. If technical terms must be used, explain them. Also, proofread the document to ferret out any grammatical errors and typos, and ask a couple of other people to proofread behind you to catch any mistakes you might have missed. If your research report is riddled with errors, its credibility will be undermined, even if the findings and recommendations you make are extremely accurate.

Many research reports are presented via PowerPoint. If you’re asked to create a slideshow presentation from the report, don’t try to include every detail in the report on the slides. The information will be too long and tedious for people attending the presentation to read through. And if they do go to the trouble of reading all the information, they probably won’t be listening to the speaker who is making the presentation.

Instead of including all the information from the study in the slides, boil each section of the report down to key points and add some “talking points” only the presenter will see. After or during the presentation, you can give the attendees the longer, paper version of the report so they can read the details at a convenient time, if they choose to.

Key Takeaway

Step 1 in the marketing research process is to define the problem. Businesses take a look at what they believe are symptoms and try to drill down to the potential causes so as to precisely define the problem. The next task for the researcher is to put into writing the research objective, or goal, the research is supposed to accomplish. Step 2 in the process is to design the research. The research design is the “plan of attack.” It outlines what data you are going to gather, from whom, how, and when, and how you’re going to analyze it once it has been obtained. Step 3 is to design the data-collection forms, which need to be standardized so the information gathered on each is comparable. Surveys are a popular way to gather data because they can be easily administered to large numbers of people fairly quickly. However, to produce the best results, survey questionnaires need to be carefully designed and pretested before they are used. Step 4 is drawing the sample, or a subset of potential buyers who are representative of your entire target market. If the sample is not correctly selected, the research will be flawed. Step 5 is to actually collect the data, whether it’s collected by a person face-to-face, over the phone, or with the help of computers or the Internet. The data-collection process is often different in foreign countries. Step 6 is to analyze the data collected for any obvious errors, tabulate the data, and then draw conclusions from it based on the results. The last step in the process, Step 7, is writing the research report and presenting the findings to decision makers.

Review Questions

• Explain why it’s important to carefully define the problem or opportunity a marketing research study is designed to investigate.
• Describe the different types of problems that can occur when marketing research professionals develop questions for surveys.
• How does a probability sample differ from a nonprobability sample?
• What makes a marketing research study valid? What makes a marketing research study reliable?
• What sections should be included in a marketing research report? What is each section designed to do?

1 “Questionnaire Design,” QuickMBA , http://www.quickmba.com/marketing/research/qdesign (accessed December 14, 2009).

Barnes, B., “Disney Expert Uses Science to Draw Boy Viewers,” New York Times , April 15, 2009, http://www.nytimes.com/2009/04/14/arts/television/14boys.html?pagewanted=1&_r=1 (accessed December 14, 2009).

Burns A. and Ronald Bush, Marketing Research , 6th ed. (Upper Saddle River, NJ: Prentice Hall, 2010), 85.

Malhotra, N., Marketing Research: An Applied Approach , 6th ed. (Upper Saddle River, NJ: Prentice Hall), 764.

McDaniel, C. D. and Roger H. Gates, Marketing Research Essentials , 2nd ed. (Cincinnati: South-Western College Publishing, 1998), 61.

McWilliams, J., “A-B Puts Super-Low-Calorie Beer in Ring with Miller,” St. Louis Post-Dispatch , August 16, 2009, http://www.stltoday.com/business/next-matchup-light-weights-a-b-puts-super-low-calorie/article_47511bfe-18ca-5979-bdb9-0526c97d4edf.html (accessed April 13, 2012).

Mersdorf, S., “How to Organize Your Next Survey Report,” Cvent , August 24, 2009, http://survey.cvent.com/blog/cvent-survey/0/0/how-to-organize-your-next-survey-report (accessed December 14, 2009).

Rappeport A. and David Gelles, “Facebook to Form Alliance with Nielsen,” Financial Times , September 23, 2009, 16.

Spangler, T., “Disney Lab Tracks Feelings,” Multichannel News 30, no. 30 (August 3, 2009): 26.

Wagner, J., “Marketing in Second Life Doesn’t Work…Here Is Why!” GigaOM , April 4, 2007, http://gigaom.com/2007/04/04/3-reasons-why-marketing-in-second-life-doesnt-work (accessed December 14, 2009).

Wrenn, B., Robert E. Stevens, and David L. Loudon, Marketing Research: Text and Cases , 2nd ed. (Binghamton, NY: Haworth Press, 2007), 180.

Zouhali-Worrall, M., “Found in Translation: Avoiding Multilingual Gaffes,” CNNMoney.com , July 14, 2008, http://money.cnn.com/2008/07/07/smallbusiness/language_translation.fsb/index.htm (accessed December 14, 2009).

Principles of Marketing Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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9 Key stages in your marketing research process

You can conduct your own marketing research. Follow these steps, add your own flair, knowledge and creativity, and you’ll have bespoke research to be proud of.

Marketing research is the term used to cover the concept, development, placement and evolution of your product or service, its growing customer base and its branding – starting with brand awareness , and progressing to (everyone hopes) brand equity . Like any research, it needs a robust process to be credible and useful.

Marketing research uses four essential key factors known as the ‘marketing mix’ , or the Four Ps of Marketing :

• Product (goods or service)
• Price ( how much the customer pays )
• Place (where the product is marketed)
• Promotion (such as advertising and PR)

These four factors need to work in harmony for a product or service to be successful in its marketplace.

The marketing research process – an overview

A typical marketing research process is as follows:

• Identify an issue, discuss alternatives and set out research objectives
• Develop a research program
• Choose a sample
• Gather information
• Gather data
• Organize and analyze information and data
• Present findings
• Make research-based decisions
• Take action based on insights

Step 1: Defining the marketing research problem

Defining a problem is the first step in the research process. In many ways, research starts with a problem facing management. This problem needs to be understood, the cause diagnosed, and solutions developed.

However, most management problems are not always easy to research, so they must first be translated into research problems. Once you approach the problem from a research angle, you can find a solution. For example, “sales are not growing” is a management problem, but translated into a research problem, it becomes “ why are sales not growing?” We can look at the expectations and experiences of several groups : potential customers, first-time buyers, and repeat purchasers. We can question whether the lack of sales is due to:

• Poor expectations that lead to a general lack of desire to buy, or
• Poor performance experience and a lack of desire to repurchase.

This, then, is the difference between a management problem and a research problem. Solving management problems focuses on actions: Do we advertise more? Do we change our advertising message? Do we change an under-performing product configuration? And if so, how?

Defining research problems, on the other hand, focus on the whys and hows, providing the insights you need to solve your management problem.

Step 2: Developing a research program: method of inquiry

The scientific method is the standard for investigation. It provides an opportunity for you to use existing knowledge as a starting point, and proceed impartially.

The scientific method includes the following steps:

• Define a problem
• Develop a hypothesis
• Make predictions based on the hypothesis
• Devise a test of the hypothesis
• Conduct the test
• Analyze the results

This terminology is similar to the stages in the research process. However, there are subtle differences in the way the steps are performed:

• the scientific research method is objective and fact-based, using quantitative research and impartial analysis
• the marketing research process can be subjective, using opinion and qualitative research, as well as personal judgment as you collect and analyze data

Step 3: Developing a research program: research method

As well as selecting a method of inquiry (objective or subjective), you must select a research method . There are two primary methodologies that can be used to answer any research question:

• Experimental research : gives you the advantage of controlling extraneous variables and manipulating one or more variables that influence the process being implemented.
• Non-experimental research : allows observation but not intervention – all you do is observe and report on your findings.

Step 4: Developing a research program: research design

Research design is a plan or framework for conducting marketing research and collecting data. It is defined as the specific methods and procedures you use to get the information you need.

There are three core types of marketing research designs: exploratory, descriptive, and causal . A thorough marketing research process incorporates elements of all of them.

Exploratory marketing research

This is a starting point for research. It’s used to reveal facts and opinions about a particular topic, and gain insight into the main points of an issue. Exploratory research is too much of a blunt instrument to base conclusive business decisions on, but it gives the foundation for more targeted study. You can use secondary research materials such as trade publications, books, journals and magazines and primary research using qualitative metrics, that can include open text surveys, interviews and focus groups.

Descriptive marketing research

This helps define the business problem or issue so that companies can make decisions, take action and monitor progress. Descriptive research is naturally quantitative – it needs to be measured and analyzed statistically , using more targeted surveys and questionnaires. You can use it to capture demographic information , evaluate a product or service for market, and monitor a target audience’s opinion and behaviors. Insights from descriptive research can inform conclusions about the market landscape and the product’s place in it.

Causal marketing research

This is useful to explore the cause and effect relationship between two or more variables. Like descriptive research , it uses quantitative methods, but it doesn’t merely report findings; it uses experiments to predict and test theories about a product or market. For example, researchers may change product packaging design or material, and measure what happens to sales as a result.

Step 5: Choose your sample

Your marketing research project will rarely examine an entire population. It’s more practical to use a sample - a smaller but accurate representation of the greater population. To design your sample, you’ll need to answer these questions:

• Which base population is the sample to be selected from? Once you’ve established who your relevant population is (your research design process will have revealed this), you have a base for your sample. This will allow you to make inferences about a larger population.
• What is the method (process) for sample selection? There are two methods of selecting a sample from a population:

1. Probability sampling : This relies on a random sampling of everyone within the larger population.

2. Non-probability sampling : This is based in part on the investigator’s judgment, and often uses convenience samples, or by other sampling methods that do not rely on probability.

• What is your sample size? This important step involves cost and accuracy decisions. Larger samples generally reduce sampling error and increase accuracy, but also increase costs. Find out your perfect sample size with our calculator .

Step 6: Gather data

Your research design will develop as you select techniques to use. There are many channels for collecting data, and it’s helpful to differentiate it into O-data (Operational) and X-data (Experience):

• O-data is your business’s hard numbers like costs, accounting, and sales. It tells you what has happened, but not why.
• X-data gives you insights into the thoughts and emotions of the people involved: employees, customers, brand advocates.

When you combine O-data with X-data, you’ll be able to build a more complete picture about success and failure - you’ll know why. Maybe you’ve seen a drop in sales (O-data) for a particular product. Maybe customer service was lacking, the product was out of stock, or advertisements weren’t impactful or different enough: X-data will reveal the reason why those sales dropped. So, while differentiating these two data sets is important, when they are combined, and work with each other, the insights become powerful.

With mobile technology, it has become easier than ever to collect data. Survey research has come a long way since market researchers conducted face-to-face, postal, or telephone surveys. You can run research through:

• Social media ( polls and listening )

Another way to collect data is by observation. Observing a customer’s or company’s past or present behavior can predict future purchasing decisions. Data collection techniques for predicting past behavior can include market segmentation , customer journey mapping and brand tracking .

Regardless of how you collect data, the process introduces another essential element to your research project: the importance of clear and constant communication .

And of course, to analyze information from survey or observation techniques, you must record your results . Gone are the days of spreadsheets. Feedback from surveys and listening channels can automatically feed into AI-powered analytics engines and produce results, in real-time, on dashboards.

Step 7: Analysis and interpretation

The words ‘ statistical analysis methods ’ aren’t usually guaranteed to set a room alight with excitement, but when you understand what they can do, the problems they can solve and the insights they can uncover, they seem a whole lot more compelling.

Statistical tests and data processing tools can reveal:

• Whether data trends you see are meaningful or are just chance results
• Your results in the context of other information you have
• Whether one thing affecting your business is more significant than others
• What your next research area should be
• Insights that lead to meaningful changes

There are several types of statistical analysis tools used for surveys. You should make sure that the ones you choose:

• Work on any platform - mobile, desktop, tablet etc.
• Integrate with your existing systems
• Are easy to use with user-friendly interfaces, straightforward menus, and automated data analysis
• Incorporate statistical analysis so you don’t just process and present your data, but refine it, and generate insights and predictions.

Here are some of the most common tools:

• Benchmarking : a way of taking outside factors into account so that you can adjust the parameters of your research. It ‘levels the playing field’ – so that your data and results are more meaningful in context. And gives you a more precise understanding of what’s happening.
• Regression analysis : this is used for working out the relationship between two (or more) variables. It is useful for identifying the precise impact of a change in an independent variable.
• T-test is used for comparing two data groups which have different mean values. For example, do women and men have different mean heights?
• Analysis of variance (ANOVA) Similar to the T-test, ANOVA is a way of testing the differences between three or more independent groups to see if they’re statistically significant.
• Cluster analysis : This organizes items into groups, or clusters, based on how closely associated they are.
• Factor analysis: This is a way of condensing many variables into just a few, so that your research data is less unwieldy to work with.
• Conjoint analysis : this will help you understand and predict why people make the choices they do. It asks people to make trade-offs when making decisions, just as they do in the real world, then analyzes the results to give the most popular outcome.
• Crosstab analysis : this is a quantitative market research tool used to analyze ‘categorical data’ - variables that are different and mutually exclusive, such as: ‘men’ and ‘women’, or ‘under 30’ and ‘over 30’.
• Text analysis and sentiment analysis : Analyzing human language and emotions is a rapidly-developing form of data processing, assigning positive, negative or neutral sentiment to customer messages and feedback.

Stats IQ can perform the most complicated statistical tests at the touch of a button using our online survey software , or data from other sources. Learn more about Stats iQ now .

Step 8: The marketing research results

Your marketing research process culminates in the research results. These should provide all the information the stakeholders and decision-makers need to understand the project.

The results will include:

• all your information
• a description of your research process
• the results
• conclusions
• recommended courses of action

They should also be presented in a form, language and graphics that are easy to understand, with a balance between completeness and conciseness, neither leaving important information out or allowing it to get so technical that it overwhelms the readers.

Traditionally, you would prepare two written reports:

• a technical report , discussing the methods, underlying assumptions and the detailed findings of the research project
• a summary report , that summarizes the research process and presents the findings and conclusions simply.

There are now more engaging ways to present your findings than the traditional PowerPoint presentations, graphs, and face-to-face reports:

• Live, interactive dashboards for sharing the most important information, as well as tracking a project in real time.
• Results-reports visualizations – tables or graphs with data visuals on a shareable slide deck
• Online presentation technology, such as Prezi
• Visual storytelling with infographics
• A single-page executive summary with key insights
• A single-page stat sheet with the top-line stats

You can also make these results shareable so that decision-makers have all the information at their fingertips.

Step 9 Turn your insights into action

Insights are one thing, but they’re worth very little unless they inform immediate, positive action. Here are a few examples of how you can do this:

• Stop customers leaving – negative sentiment among VIP customers gets picked up; the customer service team contacts the customers, resolves their issues, and avoids churn .
• Act on important employee concerns – you can set certain topics, such as safety, or diversity and inclusion to trigger an automated notification or Slack message to HR. They can rapidly act to rectify the issue.
• Address product issues – maybe deliveries are late, maybe too many products are faulty. When product feedback gets picked up through Smart Conversations, messages can be triggered to the delivery or product teams to jump on the problems immediately.
• Improve your marketing effectiveness - Understand how your marketing is being received by potential customers, so you can find ways to better meet their needs
• Grow your brand - Understand exactly what consumers are looking for, so you can make sure that you’re meeting their expectations

Download now: 8 Innovations to Modernize Market Research

Scott Smith

Scott Smith, Ph.D. is a contributor to the Qualtrics blog.

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6.3 Steps in a Successful Marketing Research Plan

Learning outcomes.

By the end of this section, you will be able to:

• 1 Identify and describe the steps in a marketing research plan.
• 2 Discuss the different types of data research.
• 3 Explain how data is analyzed.
• 4 Discuss the importance of effective research reports.

Define the Problem

There are seven steps to a successful marketing research project (see Figure 6.3 ). Each step will be explained as we investigate how a marketing research project is conducted.

The first step, defining the problem, is often a realization that more information is needed in order to make a data-driven decision. Problem definition is the realization that there is an issue that needs to be addressed. An entrepreneur may be interested in opening a small business but must first define the problem that is to be investigated. A marketing research problem in this example is to discover the needs of the community and also to identify a potentially successful business venture.

Many times, researchers define a research question or objectives in this first step. Objectives of this research study could include: identify a new business that would be successful in the community in question, determine the size and composition of a target market for the business venture, and collect any relevant primary and secondary data that would support such a venture. At this point, the definition of the problem may be “Why are cat owners not buying our new cat toy subscription service?”

Additionally, during this first step we would want to investigate our target population for research. This is similar to a target market, as it is the group that comprises the population of interest for the study. In order to have a successful research outcome, the researcher should start with an understanding of the problem in the current situational environment.

Develop the Research Plan

Step two is to develop the research plan. What type of research is necessary to meet the established objectives of the first step? How will this data be collected? Additionally, what is the time frame of the research and budget to consider? If you must have information in the next week, a different plan would be implemented than in a situation where several months were allowed. These are issues that a researcher should address in order to meet the needs identified.

Research is often classified as coming from one of two types of data: primary and secondary. Primary data is unique information that is collected by the specific researcher with the current project in mind. This type of research doesn’t currently exist until it is pulled together for the project. Examples of primary data collection include survey, observation, experiment, or focus group data that is gathered for the current project.

Secondary data is any research that was completed for another purpose but can be used to help inform the research process. Secondary data comes in many forms and includes census data, journal articles, previously collected survey or focus group data of related topics, and compiled company data. Secondary data may be internal, such as the company’s sales records for a previous quarter, or external, such as an industry report of all related product sales. Syndicated data , a type of external secondary data, is available through subscription services and is utilized by many marketers. As you can see in Table 6.1 , primary and secondary data features are often opposite—the positive aspects of primary data are the negative side of secondary data.

There are four research types that can be used: exploratory, descriptive, experimental, and ethnographic research designs (see Figure 6.4 ). Each type has specific formats of data that can be collected. Qualitative research can be shared through words, descriptions, and open-ended comments. Qualitative data gives context but cannot be reduced to a statistic. Qualitative data examples are categorical and include case studies, diary accounts, interviews, focus groups, and open-ended surveys. By comparison, quantitative data is data that can be reduced to number of responses. The number of responses to each answer on a multiple-choice question is quantitative data. Quantitative data is numerical and includes things like age, income, group size, and height.

Exploratory research is usually used when additional general information in desired about a topic. When in the initial steps of a new project, understanding the landscape is essential, so exploratory research helps the researcher to learn more about the general nature of the industry. Exploratory research can be collected through focus groups, interviews, and review of secondary data. When examining an exploratory research design, the best use is when your company hopes to collect data that is generally qualitative in nature. 7

For instance, if a company is considering a new service for registered users but is not quite sure how well the new service will be received or wants to gain clarity of exactly how customers may use a future service, the company can host a focus group. Focus groups and interviews will be examined later in the chapter. The insights collected during the focus group can assist the company when designing the service, help to inform promotional campaign options, and verify that the service is going to be a viable option for the company.

Descriptive research design takes a bigger step into collection of data through primary research complemented by secondary data. Descriptive research helps explain the market situation and define an “opinion, attitude, or behavior” of a group of consumers, employees, or other interested groups. 8 The most common method of deploying a descriptive research design is through the use of a survey. Several types of surveys will be defined later in this chapter. Descriptive data is quantitative in nature, meaning the data can be distilled into a statistic, such as in a table or chart.

Again, descriptive data is helpful in explaining the current situation. In the opening example of LEGO , the company wanted to describe the situation regarding children’s use of its product. In order to gather a large group of opinions, a survey was created. The data that was collected through this survey allowed the company to measure the existing perceptions of parents so that alterations could be made to future plans for the company.

Experimental research , also known as causal research , helps to define a cause-and-effect relationship between two or more factors. This type of research goes beyond a correlation to determine which feature caused the reaction. Researchers generally use some type of experimental design to determine a causal relationship. An example is A/B testing, a situation where one group of research participants, group A, is exposed to one treatment and then compared to the group B participants, who experience a different situation. An example might be showing two different television commercials to a panel of consumers and then measuring the difference in perception of the product. Another example would be to have two separate packaging options available in different markets. This research would answer the question “Does one design sell better than the other?” Comparing that to the sales in each market would be part of a causal research study. 9

The final method of collecting data is through an ethnographic design. Ethnographic research is conducted in the field by watching people interact in their natural environment. For marketing research, ethnographic designs help to identify how a product is used, what actions are included in a selection, or how the consumer interacts with the product. 10

Examples of ethnographic research would be to observe how a consumer uses a particular product, such as baking soda. Although many people buy baking soda, its uses are vast. So are they using it as a refrigerator deodorizer, a toothpaste, to polish a belt buckle, or to use in baking a cake?

Select the Data Collection Method

Data collection is the systematic gathering of information that addresses the identified problem. What is the best method to do that? Picking the right method of collecting data requires that the researcher understand the target population and the design picked in the previous step. There is no perfect method; each method has both advantages and disadvantages, so it’s essential that the researcher understand the target population of the research and the research objectives in order to pick the best option.

Sometimes the data desired is best collected by watching the actions of consumers. For instance, how many cars pass a specific billboard in a day? What website led a potential customer to the company’s website? When are consumers most likely to use the snack vending machines at work? What time of day has the highest traffic on a social media post? What is the most streamed television program this week? Observational research is the collecting of data based on actions taken by those observed. Many data observations do not require the researched individuals to participate in the data collection effort to be highly valuable. Some observation requires an individual to watch and record the activities of the target population through personal observations .

Unobtrusive observation happens when those being observed aren’t aware that they are being watched. An example of an unobtrusive observation would be to watch how shoppers interact with a new stuffed animal display by using a one-way mirror. Marketers can identify which products were handled more often while also determining which were ignored.

Other methods can use technology to collect the data instead. Instances of mechanical observation include the use of vehicle recorders, which count the number of vehicles that pass a specific location. Computers can also assess the number of shoppers who enter a store, the most popular entry point for train station commuters, or the peak time for cars to park in a parking garage.

When you want to get a more in-depth response from research participants, one method is to complete a one-on-one interview . One-on-one interviews allow the researcher to ask specific questions that match the respondent’s unique perspective as well as follow-up questions that piggyback on responses already completed. An interview allows the researcher to have a deeper understanding of the needs of the respondent, which is another strength of this type of data collection. The downside of personal interviews it that a discussion can be very time-consuming and results in only one respondent’s answers. Therefore, in order to get a large sample of respondents, the interview method may not be the most efficient method.

Taking the benefits of an interview and applying them to a small group of people is the design of a focus group . A focus group is a small number of people, usually 8 to 12, who meet the sample requirements. These individuals together are asked a series of questions where they are encouraged to build upon each other’s responses, either by agreeing or disagreeing with the other group members. Focus groups are similar to interviews in that they allow the researcher, through a moderator, to get more detailed information from a small group of potential customers (see Figure 6.5 ).

Link to Learning

Focus groups.

Focus groups are a common method for gathering insights into consumer thinking and habits. Companies will use this information to develop or shift their initiatives. The best way to understand a focus group is to watch a few examples or explanations. TED-Ed has this video that explains how focus groups work.

You might be asking when it is best to use a focus group or a survey. Learn the differences, the pros and cons of each, and the specific types of questions you ask in both situations in this article .

Preparing for a focus group is critical to success. It requires knowing the material and questions while also managing the group of people. Watch this video to learn more about how to prepare for a focus group and the types of things to be aware of.

One of the benefits of a focus group over individual interviews is that synergy can be generated when a participant builds on another’s ideas. Additionally, for the same amount of time, a researcher can hear from multiple respondents instead of just one. 11 Of course, as with every method of data collection, there are downsides to a focus group as well. Focus groups have the potential to be overwhelmed by one or two aggressive personalities, and the format can discourage more reserved individuals from speaking up. Finally, like interviews, the responses in a focus group are qualitative in nature and are difficult to distill into an easy statistic or two.

Combining a variety of questions on one instrument is called a survey or questionnaire . Collecting primary data is commonly done through surveys due to their versatility. A survey allows the researcher to ask the same set of questions of a large group of respondents. Response rates of surveys are calculated by dividing the number of surveys completed by the total number attempted. Surveys are flexible and can collect a variety of quantitative and qualitative data. Questions can include simplified yes or no questions, select all that apply, questions that are on a scale, or a variety of open-ended types of questions. There are four types of surveys (see Table 6.2 ) we will cover, each with strengths and weaknesses defined.

Let’s start off with mailed surveys —surveys that are sent to potential respondents through a mail service. Mailed surveys used to be more commonly used due to the ability to reach every household. In some instances, a mailed survey is still the best way to collect data. For example, every 10 years the United States conducts a census of its population (see Figure 6.6 ). The first step in that data collection is to send every household a survey through the US Postal Service (USPS). The benefit is that respondents can complete and return the survey at their convenience. The downside of mailed surveys are expense and timeliness of responses. A mailed survey requires postage, both when it is sent to the recipient and when it is returned. That, along with the cost of printing, paper, and both sending and return envelopes, adds up quickly. Additionally, physically mailing surveys takes time. One method of reducing cost is to send with bulk-rate postage, but that slows down the delivery of the survey. Also, because of the convenience to the respondent, completed surveys may be returned several weeks after being sent. Finally, some mailed survey data must be manually entered into the analysis software, which can cause delays or issues due to entry errors.

Phone surveys are completed during a phone conversation with the respondent. Although the traditional phone survey requires a data collector to talk with the participant, current technology allows for computer-assisted voice surveys or surveys to be completed by asking the respondent to push a specific button for each potential answer. Phone surveys are time intensive but allow the respondent to ask questions and the surveyor to request additional information or clarification on a question if warranted. Phone surveys require the respondent to complete the survey simultaneously with the collector, which is a limitation as there are restrictions for when phone calls are allowed. According to Telephone Consumer Protection Act , approved by Congress in 1991, no calls can be made prior to 8:00 a.m. or after 9:00 p.m. in the recipient’s time zone. 12 Many restrictions are outlined in this original legislation and have been added to since due to ever-changing technology.

In-person surveys are when the respondent and data collector are physically in the same location. In-person surveys allow the respondent to share specific information, ask questions of the surveyor, and follow up on previous answers. Surveys collected through this method can take place in a variety of ways: through door-to-door collection, in a public location, or at a person’s workplace. Although in-person surveys are time intensive and require more labor to collect data than some other methods, in some cases it’s the best way to collect the required data. In-person surveys conducted through a door-to-door method is the follow-up used for the census if respondents do not complete the mailed survey. One of the downsides of in-person surveys is the reluctance of potential respondents to stop their current activity and answer questions. Furthermore, people may not feel comfortable sharing private or personal information during a face-to-face conversation.

Electronic surveys are sent or collected through digital means and is an opportunity that can be added to any of the above methods as well as some new delivery options. Surveys can be sent through email, and respondents can either reply to the email or open a hyperlink to an online survey (see Figure 6.7 ). Additionally, a letter can be mailed that asks members of the survey sample to log in to a website rather than to return a mailed response. Many marketers now use links, QR codes, or electronic devices to easily connect to a survey. Digitally collected data has the benefit of being less time intensive and is often a more economical way to gather and input responses than more manual methods. A survey that could take months to collect through the mail can be completed within a week through digital means.

Design the Sample

Although you might want to include every possible person who matches your target market in your research, it’s often not a feasible option, nor is it of value. If you did decide to include everyone, you would be completing a census of the population. Getting everyone to participate would be time-consuming and highly expensive, so instead marketers use a sample , whereby a portion of the whole is included in the research. It’s similar to the samples you might receive at the grocery store or ice cream shop; it isn’t a full serving, but it does give you a good taste of what the whole would be like.

So how do you know who should be included in the sample? Researchers identify parameters for their studies, called sample frames . A sample frame for one study may be college students who live on campus; for another study, it may be retired people in Dallas, Texas, or small-business owners who have fewer than 10 employees. The individual entities within the sampling frame would be considered a sampling unit . A sampling unit is each individual respondent that would be considered as matching the sample frame established by the research. If a researcher wants businesses to participate in a study, then businesses would be the sampling unit in that case.

The number of sampling units included in the research is the sample size . Many calculations can be conducted to indicate what the correct size of the sample should be. Issues to consider are the size of the population, the confidence level that the data represents the entire population, the ease of accessing the units in the frame, and the budget allocated for the research.

There are two main categories of samples: probability and nonprobability (see Figure 6.8 ). Probability samples are those in which every member of the sample has an identified likelihood of being selected. Several probability sample methods can be utilized. One probability sampling technique is called a simple random sample , where not only does every person have an identified likelihood of being selected to be in the sample, but every person also has an equal chance of exclusion. An example of a simple random sample would be to put the names of all members of a group into a hat and simply draw out a specific number to be included. You could say a raffle would be a good example of a simple random sample.

Another probability sample type is a stratified random sample , where the population is divided into groups by category and then a random sample of each category is selected to participate. For instance, if you were conducting a study of college students from your school and wanted to make sure you had all grade levels included, you might take the names of all students and split them into different groups by grade level—freshman, sophomore, junior, and senior. Then, from those categories, you would draw names out of each of the pools, or strata.

A nonprobability sample is a situation in which each potential member of the sample has an unknown likelihood of being selected in the sample. Research findings that are from a nonprobability sample cannot be applied beyond the sample. Several examples of nonprobability sampling are available to researchers and include two that we will look at more closely: convenience sampling and judgment sampling.

The first nonprobability sampling technique is a convenience sample . Just like it sounds, a convenience sample is when the researcher finds a group through a nonscientific method by picking potential research participants in a convenient manner. An example might be to ask other students in a class you are taking to complete a survey that you are doing for a class assignment or passing out surveys at a basketball game or theater performance.

A judgment sample is a type of nonprobability sample that allows the researcher to determine if they believe the individual meets the criteria set for the sample frame to complete the research. For instance, you may be interested in researching mothers, so you sit outside a toy store and ask an individual who is carrying a baby to participate.

Collect the Data

Now that all the plans have been established, the instrument has been created, and the group of participants has been identified, it is time to start collecting data. As explained earlier in this chapter, data collection is the process of gathering information from a variety of sources that will satisfy the research objectives defined in step one. Data collection can be as simple as sending out an email with a survey link enclosed or as complex as an experiment with hundreds of consumers. The method of collection directly influences the length of this process. Conducting personal interviews or completing an experiment, as previously mentioned, can add weeks or months to the research process, whereas sending out an electronic survey may allow a researcher to collect the necessary data in a few days. 13

Analyze and Interpret the Data

Once the data has been collected, the process of analyzing it may begin. Data analysis is the distillation of the information into a more understandable and actionable format. The analysis itself can take many forms, from the use of basic statistics to a more comprehensive data visualization process. First, let’s discuss some basic statistics that can be used to represent data.

The first is the mean of quantitative data. A mean is often defined as the arithmetic average of values. The formula is:

A common use of the mean calculation is with exam scores. Say, for example, you have earned the following scores on your marketing exams: 72, 85, 68, and 77. To find the mean, you would add up the four scores for a total of 302. Then, in order to generate a mean, that number needs to be divided by the number of exam scores included, which is 4. The mean would be 302 divided by 4, for a mean test score of 75.5. Understanding the mean can help to determine, with one number, the weight of a particular value.

Another commonly used statistic is median. The median is often referred to as the middle number. To generate a median, all the numeric answers are placed in order, and the middle number is the median. Median is a common statistic when identifying the income level of a specific geographic region. 14 For instance, the median household income for Albuquerque, New Mexico, between 2015 and 2019 was $52,911. 15 In this case, there are just as many people with an income above the amount as there are below.

Mode is another statistic that is used to represent data of all types, as it can be used with quantitative or qualitative data and represents the most frequent answer. Eye color, hair color, and vehicle color can all be presented with a mode statistic. Additionally, some researchers expand on the concept of mode and present the frequency of all responses, not just identifying the most common response. Data such as this can easily be presented in a frequency graph, 16 such as the one in Figure 6.9 .

Additionally, researchers use other analyses to represent the data rather than to present the entirety of each response. For example, maybe the relationship between two values is important to understand. In this case, the researcher may share the data as a cross tabulation (see Figure 6.10 ). Below is the same data as above regarding social media use cross tabulated with gender—as you can see, the data is more descriptive when you can distinguish between the gender identifiers and how much time is spent per day on social media.

Not all data can be presented in a graphical format due to the nature of the information. Sometimes with qualitative methods of data collection, the responses cannot be distilled into a simple statistic or graph. In that case, the use of quotations, otherwise known as verbatims , can be used. These are direct statements presented by the respondents. Often you will see a verbatim statement when reading a movie or book review. The critic’s statements are used in part or in whole to represent their feelings about the newly released item.

Infographics

As they say, a picture is worth a thousand words. For this reason, research results are often shown in a graphical format in which data can be taken in quickly, called an infographic .

Check out this infographic on what components make for a good infographic. As you can see, a good infographic needs four components: data, design, a story, and the ability to share it with others. Without all four pieces, it is not as valuable a resource as it could be. The ultimate infographic is represented as the intersection of all four.

Infographics are particularly advantageous online. Refer to this infographic on why they are beneficial to use online .

Prepare the Research Report

The marketing research process concludes by sharing the generated data and makes recommendations for future actions. What starts as simple data must be interpreted into an analysis. All information gathered should be conveyed in order to make decisions for future marketing actions. One item that is often part of the final step is to discuss areas that may have been missed with the current project or any area of further study identified while completing it. Without the final step of the marketing research project, the first six steps are without value. It is only after the information is shared, through a formal presentation or report, that those recommendations can be implemented and improvements made. The first six steps are used to generate information, while the last is to initiate action. During this last step is also when an evaluation of the process is conducted. If this research were to be completed again, how would we do it differently? Did the right questions get answered with the survey questions posed to the respondents? Follow-up on some of these key questions can lead to additional research, a different study, or further analysis of data collected.

Methods of Quantifying Marketing Research

One of the ways of sharing information gained through marketing research is to quantify the research . Quantifying the research means to take a variety of data and compile into a quantity that is more easily understood. This is a simple process if you want to know how many people attended a basketball game, but if you want to quantify the number of students who made a positive comment on a questionnaire, it can be a little more complicated. Researchers have a variety of methods to collect and then share these different scores. Below are some of the most common types used in business.

Is a customer aware of a product, brand, or company? What is meant by awareness? Awareness in the context of marketing research is when a consumer is familiar with the product, brand, or company. It does not assume that the consumer has tried the product or has purchased it. Consumers are just aware. That is a measure that many businesses find valuable. There are several ways to measure awareness. For instance, the first type of awareness is unaided awareness . This type of awareness is when no prompts for a product, brand, or company are given. If you were collecting information on fast-food restaurants, you might ask a respondent to list all the fast-food restaurants that serve a chicken sandwich. Aided awareness would be providing a list of products, brands, or companies and the respondent selects from the list. For instance, if you give a respondent a list of fast-food restaurants and ask them to mark all the locations with a chicken sandwich, you are collecting data through an aided method. Collecting these answers helps a company determine how the business location compares to those of its competitors. 17

Customer Satisfaction (CSAT)

Have you ever been asked to complete a survey at the end of a purchase? Many businesses complete research on buying, returning, or other customer service processes. A customer satisfaction score , also known as CSAT, is a measure of how satisfied customers are with the product, brand, or service. A CSAT score is usually on a scale of 0 to 100 percent. 18 But what constitutes a “good” CSAT score? Although what is identified as good can vary by industry, normally anything in the range from 75 to 85 would be considered good. Of course, a number higher than 85 would be considered exceptional. 19

Customer Acquisition Cost (CAC) and Customer Effort Score (CES)

Other metrics often used are a customer acquisition cost (CAC) and customer effort score (CES). How much does it cost a company to gain customers? That’s the purpose of calculating the customer acquisition cost. To calculate the customer acquisition cost , a company would need to total all expenses that were accrued to gain new customers. This would include any advertising, public relations, social media postings, etc. When a total cost is determined, it is divided by the number of new customers gained through this campaign.

The final score to discuss is the customer effort score , also known as a CES. The CES is a “survey used to measure the ease of service experience with an organization.” 20 Companies that are easy to work with have a better CES than a company that is notorious for being difficult. An example would be to ask a consumer about the ease of making a purchase online by incorporating a one-question survey after a purchase is confirmed. If a number of responses come back negative or slightly negative, the company will realize that it needs to investigate and develop a more user-friendly process.

Knowledge Check

It’s time to check your knowledge on the concepts presented in this section. Refer to the Answer Key at the end of the book for feedback.

• Defining the problem
• Developing the research plan
• Selecting a data collection method
• Designing the sample
• you are able to send it to all households in an area
• it is inexpensive
• responses are automatically loaded into the software
• the data comes in quickly
• Primary data
• Secondary data
• Secondary and primary data
• Professional data
• It shows how respondents answered two variables in relation to each other and can help determine patterns by different groups of respondents.
• By presenting the data in the form of a picture, the information is easier for the reader to understand.
• It is an easy way to see how often one answer is selected by the respondents.
• This analysis can used to present interview or focus group data.

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The Marketing Research Process in 6 Steps

Learn about the six steps in the marketing research process so you can better understand your target consumer and your marketing strategy.

When launching into marketing strategy, it’s important to have a marketing research process so that one isn’t going into it unprepared. Your market research process may involve tracking the engagement with social media posts or questioning a focus group about their household spending habits. Whatever the path, companies have long embraced different types of research methods to gain consumer insight, help strengthen a brand, and achieve a competitive edge in the market.

These approaches are part of marketing research, a process that can reveal information about a company’s marketing efforts, such as which products have the highest potential for success or what advertising strategies will be the most impactful. Marketing research is a valuable tool in developing an effective marketing strategy. For example, conducting marketing research helps a business discover key information about its market standing and target customers. It also provides essential details about demographics and where to prioritize marketing investments. Yet, less than 40% of marketers use consumer research to influence their decisions. 

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What is marketing research? 

Marketing research is the process of collecting and analyzing data from consumers and competitors to help businesses explore who their target customer is and what they want from the brand. Good marketing research can also provide insight into how effective marketing efforts are, and explore potential areas for growth. Marketing research covers a business’s entire marketing plan—from creating brand awareness to securing brand loyalists.  

To conduct marketing research, businesses collect information from consumers to help identify a product’s target market and how best to reach it. They do this by gathering consumer feedback from product surveys, focus groups, social media tracking, phone interviews, and consumer observation. A company may also complete a competitor analysis to assess market share and check how it’s stacking up against the competition. 

The 6 steps in the marketing process

The market research process is designed to paint a thorough picture of a company’s marketing plan, helping to identify where the weaknesses and strengths exist. The first step in the marketing research process is defining the problem or the question your research is trying to answer, followed by developing a research plan to answer that question, collecting and analyzing the data, and then producing a report. 

1. Identify the opportunity

The first step is to define the problem you’re aiming to solve. Asking specific questions will help pinpoint the most pressing needs or reveal the biggest opportunities to reach your research objectives . Questions you might ask in this initial stage include:

• How many of our recent buyers are first-time customers? 
• How can we turn them into repeat customers?
• Why are sales lower than last quarter? 
• Are our prices too high?
• Why do customers put items in their shopping cart but don’t complete the purchase? 
• How can we make our checkout flow more efficient?

2. Develop a research plan

A marketing research plan can help a business outline how to find the ways to address the questions it seeks to answer or the problems it wishes to solve. How you plan and design this research depends on the budget available, the research method chosen to source data, and the scope of the project.

There are two main research methods you can use to collect your data: primary research and secondary research. Each pulls information from different sources to provide a clear snapshot of your marketing research plan. 

• Primary research. Primary research involves gathering original data through collection methods such as surveys or in-person interviews, then synthesizing that data into a report. Although potentially time-consuming and costly, it may be among the best ways to accurately collect answers to your questions.
• Secondary research. Secondary research data involves gathering and synthesizing information gleaned from other sources, such as research reports, websites, or government files. Most research plans start with secondary data since it’s usually less expensive and readily available. You can use the information you gleaned using secondary data to inform how you will approach your primary research. 

The scope and budget for the plan will likely influence the time it takes to complete the research. A smaller sample size, for example, may only need a few weeks, while a larger, complex research project may take months (and more money) to collect the necessary information.   

3. Collect the data

After identifying objectives, it’s important to start collecting information . There are several different data collection methods that you can use to source information.

• Surveys. Conducting a survey is an effective primary research method that can provide valuable feedback about business practices, marketing tactics, and product demand. Unbiased survey research can help capture the thoughts and feelings of a particular demographic. 
• A/B testing. This research methodology compares two or more versions of a variable— say, two layouts of the same website (version A and B)—to collect information to test which would result in better outcomes and consumer engagement. In this scenario, the goal may be to see which site attracts more direct traffic to increase the number of monthly visitors.
• Social media polling. Setting up a social media poll can be an effective and inexpensive way to collect user data. Polling current and potential customers gathers insight from  your target audience, which can impact how the company curates its products and user experiences. 
• Interviews. Face-to-face or phone interviews can help companies assess consumer expectations from a brand. During these interviews, participants may be asked questions like: How long have you been a customer? Or: Why did you choose this brand over the competitor?
• Focus groups. Focus groups gather a select group of people together based on demographics, buying history, or other factors to collect non-numerical (qualitative) data about a particular product or service . With focus groups, moderators can capture a variety of opinions and emotions via open-ended conversation or lines of questioning to capture the feelings potential (or current) customers have toward a product or service. 

4. Analyze your data

Analyzing data is a way to uncover trends or patterns within the company or in the marketplace that can impact a business’s market performance. Data analysis transforms raw metrics into digestible information to provide the answers to your initial research questions.

There are four main types of analysis you can use to evaluate data: 

• Descriptive analytics. Analysis tools that lay out data in charts and graphs, for example, so you can see the big picture are known as descriptive analytics. This type of analysis presents a snapshot of performance in numbers, such as unique users or page views. 
• Diagnostic analytics. Analysis tools that provide more than a general overview can help you find the “cause and effect” of a problem. For example, if the number of visitors to your website has decreased by 15% within the last six months, you’ll want to investigate why. Are too many pop-ups making it more difficult for users to navigate the site, or is the page load speed too slow and users are clicking out to another website? 
• Predictive analytics. Based on existing data, predictive analytics help companies establish predictive models to forecast future outcomes more accurately. For instance, if data points to a correlation between the start of the school year and increased clothing sales, your ecommerce company may need additional solutions to help take care of increased web traffic during this time of year. 
• Prescriptive analytics. This analytics tool combines descriptive, diagnostic, and predictive analytics methods to help companies optimize their best course of action. For example, if predictive analytics show clothing sales go up at the beginning of the school year, prescriptive analytics would assist in prescribing a solution—in this case, finding web hosting plans that upgrade site bandwidth to accommodate increased web traffic.

5. Present your results

Once you’ve done the research and analyzed the data, you can build a research report to present your key findings. You can present your report in a slideshow format, as an illustrated book, as a video, or in an interactive dashboard that allows users to look at the data in different ways. The emphasis should be to present the information in a way that is comprehensible and accessible. 

Marketing research reports contain, at minimum, key company-specific details like customer profiles, target audience buying habits, and market competitors, and address the questions your research sought to answer. Beyond that, reports typically present the findings from the research in a narrative format that incorporates visuals, like charts and graphs, alongside “real people” feedback. You’re not looking to present a stack of numbers—you want to establish a story about real people, how they behave, and their desires (as they pertain to the company or product). The report also needs to present the solutions to these problems—how the company should tailor its strategies to optimize its marketing and target its consumers better.

Other information to include in your report is how you arrived at these conclusions. Which research methods did you use? How long did it take? How big were your sample groups? Once the report is compiled, share these results with all necessary parties, like relevant stakeholders such as the marketing team, company managers, or other people this proposed shift in strategy might affect, like engineering. 

6. Incorporate your findings

Once you’ve presented your data, it’s time to develop actionable plans that put your findings into play, whether it’s developing brand-new strategies or improving existing ones. Some findings may result in big shifts to your marketing plans or small improvements that can help you optimize your company strategy overall. 

For instance, if your marketing report points to an issue with retaining a younger audience, you may need to redesign your entire social media campaign to accommodate a wider demographic. Or, you might only need a smaller shift, like offering extra promotions through social media accounts to entice current young customers to stay loyal. An ever-changing market means that your data won’t stay relevant forever, so turning your info into action can help you improve your business when it counts.

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Marketing Research FAQ

What is an example of marketing research, what are the 7 types of marketing research.

• Exploratory Research
• Descriptive Research
• Causal Research
• Survey Research
• Secondary Research
• Experimental Research
• Qualitative Research

What is the main idea of marketing research?

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Marketing Research Process: A Step-by-Step Guide

Explore the dynamic realm of business strategy with our comprehensive blog on the Marketing Research Process. Uncover the intricacies of this crucial methodology through our step-by-step guide, gaining insights into market trends, consumer behaviour, and strategic decision-making. Elevate your Marketing game with a deep dive into the Marketing Research Process.

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Table of Contents

1) The Process of Marketing Research

      a) Recognise the Issue

      b) Formulate a research strategy

      c) Execute the research

      d) Evaluate and communicate discoveries

      e) Implement solutions

2) Types of Marketing Research

3) Conclusion

The Process of Marketing Research

The Marketing Research Process represents a systematic and scientific approach to the collection, analysis, and interpretation of data concerning a specific market, product, or service.

This procedure assists businesses in comprehending and fulfilling customer needs, thereby securing a competitive advantage within the marketplace. The Marketing Research Process involves the following five main steps:

Recognise the issue

The first step is to define the problem or opportunity that you want to address through Marketing Research. It involves identifying the objectives, scope, and limitations of the research and the key questions that you want to answer. You need to have a clear and specific purpose for conducting the research and to know what information you need and how you will use it. Some examples of Marketing Research issues are as follows:

a) How satisfied are the customers with our product or service?

b) What elements affect the buying choices of our target audience?

c) What strategies can we implement to enhance brand recognition and loyalty among prospective customers?

d) What are the emerging needs and preferences of our customers in the changing Market environment?

e) What methods can we employ to distinguish our product or service from those offered by our competitors?  

Formulate a research strategy

The second phase involves creating a research strategy that outlines the methodologies, sources, and techniques to be employed for data collection and analysis. It involves selecting the following:

a) The type of research (primary or secondary)

b) The research design (exploratory, descriptive, or causal)

c) The sampling method (probability or non-probability)

d) The data collection method (survey, observation, experiment, interview, focus group, etc.)

e) The data analysis method (quantitative or qualitative)

You need to choose the most appropriate and feasible methods for your research and to ensure that they are reliable and valid. You also need to consider the cost, time, and ethical issues involved in the research. Some examples of Marketing Research strategies are as follows:

a) Conducting a survey among a random sample of customers to measure their satisfaction level and feedback on our product or service.

b) Observing the behaviour and reactions of customers in a simulated or natural setting to test the effectiveness of our Marketing campaign or product features.

c) Conducting an experiment to compare the sales performance of two different versions of our product or service.

d) Interviewing a group of experts or influencers to gain insights into the market trends and customer expectations.

e) Conducting a focus group discussion among a selected group of customers to explore their opinions and attitudes towards our product or service.

Execute the research

The third step is to implement the research plan and collect the data from the chosen sources and methods. This involves performing the following:

a) Preparing the research instruments (such as questionnaires, checklists, or guides)

b) Recruiting and training the data collectors (such as interviewers, observers, or experimenters)

c) Administering the data collection process (such as distributing the surveys, conducting the observations, or running the experiments)

d) Ensuring the quality and reliability of the data (such as checking the validity, accuracy, and completeness of the data).

You need to follow the research plan carefully and consistently to avoid any errors or biases that may affect the data. You also need to store and organise the data in a secure and accessible way.

Some examples of Marketing Research execution are:

a) Sending an online survey to a sample of customers via email or social media and collecting their responses.

b) Hiring a professional research agency to observe and record the behaviour and reactions of customers in a store or a website.

c) Setting up a controlled environment and randomly assigning customers to two different groups. One must receive your product or service and the other must receive a competitor’s product or service, and measure their sales outcomes.

d) Scheduling and conducting face-to-face or phone interviews with experts or influencers and recording their answers.

e) Inviting and facilitating a focus group discussion among a group of customers and take notes or record their conversation.

Evaluate and communicate discoveries

The fourth step is to analyse the data and interpret the results of the research. This step entails utilising suitable statistical or qualitative methods to summarise, compare, and examine the data, as well as to derive conclusions and recommendations in alignment with the research goals and queries.

You need to use the most suitable and accurate methods for your data and document the results in a clear and concise way. You also need to identify the key findings, insights, and implications of the data for your business problem or opportunity and to provide actionable recommendations and suggestions for improving your product or service, Marketing strategy, or customer experience. Some examples of Marketing Research evaluation may involve the following:

a) Calculating the mean, median, mode, standard deviation, frequency, percentage, or correlation of the data to describe the characteristics, patterns, or relationships of the data.

b) Using charts, graphs, tables, or diagrams to visualise and present the data in a clear and concise way.

c) Performing hypothesis testing, Regression Analysis, factor analysis, cluster analysis, or other advanced methods to infer the causal effects, differences, or similarities of the data.

d) Identifying the key findings, insights, and implications of the data for your business problem or opportunity.

e) Providing actionable recommendations and suggestions for improving your product or service, Marketing strategy, or customer experience.

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Implement solutions

The fifth and final step is to apply the findings and recommendations of the research to your business decisions and actions. This process includes sharing the outcomes and suggestions from the research with pertinent stakeholders, like managers, employees, customers, or partners, and subsequently overseeing and assessing the impact and efficacy of the solutions put into action.

You need to share the research results and recommendations in a persuasive and engaging way and convince the stakeholders of the value and benefits of the research. You also need to implement the solutions in a timely and efficient manner and measure and track the key performance indicators (such as sales, revenue, profit, Market share, customer retention, etc.) to assess the outcomes and benefits of the implemented solutions. Some examples of Marketing Research implementation are as follows:

a) Creating a report or a presentation that summarises the research objectives, methods, results, and recommendations and share it with the stakeholders.

b) Developing and launching a new or improved product or service based on the customer feedback and preferences revealed by the research.

c) Designing and executing a new or enhanced Marketing campaign based on the market trends and customer expectations identified by the research.

d) Improving and optimising the customer journey and satisfaction based on the customer behaviour and reactions observed by the research.

e) Measuring and tracking the key performance indicators (such as sales, revenue, profit, market share, customer retention, etc.) to assess the outcomes and benefits of the implemented solutions.

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Types of Marketing Research

Now that you are aware of the Market Research Process, let’s understand the ways in which this process can be conducted. The following are the two main types of Marketing Research:

1) Primary research is the original and first-hand data that is collected specifically for the purpose of the research. It is tailored to the research objectives and questions, and it provides the most accurate and relevant information. However, it is also more costly and time-consuming to conduct. Some examples of primary research sources and methods are:

a) Surveys: A method of collecting data by asking a set of questions to a sample of respondents, either online, by phone, by mail, or in person.

b) Observations: A method of collecting data by watching and recording the behaviour and reactions of people or objects in a natural or artificial setting.

c) Experiments: A technique for gathering data that involves altering one or more variables and observing their impact on another variable within a controlled environment.

d) Interviews: A method of collecting data by having a conversation with one or more individuals, either face-to-face, by phone, or online.

e) Focus groups: A method of collecting data by having a group discussion among a selected group of participants moderated by a facilitator.

2) Secondary research is the existing and second-hand data that is collected for some purpose other than research. It is readily available and accessible, and it provides a broader and deeper perspective. However, it may also be outdated, inaccurate, or irrelevant to the research. Some examples of secondary research sources and methods are:

a) Internal data: The data that is generated and stored within the organisation, such as sales records, customer databases, financial reports, etc.

b) External data: Data obtained from outside the organisation, such as government reports, industry publications, market research reports, etc.

c) Online data: The data that is available on the internet, such as websites, blogs, social media, online forums, etc.

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The Marketing Research Process is vital for any business that wants to understand and satisfy its customers and gain a competitive edge in the Market. It involves five steps: recognising the issue, formulating a research strategy, executing the research, evaluating and communicating discoveries, and implementing solutions.

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Make informed decisions with the marketing research process

Reading time: about 7 min

Who is your target consumer? What does their buying journey look like? How should you price your new product or service?  

Today’s business markets are complex and rapidly evolving. So when answering questions like these, you can’t afford to guess. You need data. 

That’s where the marketing research process comes in. 

The marketing research process encompasses a number of activities focused on gathering product and consumer data to understand your target customers, validate new product ideas, iterate on existing products, and improve marketing and business decisions.  

If you want to understand your customer and set your products and marketing strategies up for success, you need marketing research. But where should you begin? And how can you ensure your efforts lead to actionable insights?

Below we’ll walk you through the 5 main marketing research steps. 

What is the marketing research process?

The marketing research process is a series of steps used to plan and conduct research on your target market. This process starts before the research ever begins, and it covers everything needed to make research effective, from planning to conducting to analyzing—all the way to finally presenting the results.

As much as we might want to believe our instincts are always right, that’s simply not the case. Research may back up your gut feeling, but it often reveals new, unexpected facts as well. The marketing research process helps you get all the information you need to make and justify a choice–and even gain a competitive edge.

Types of marketing research

There are multiple ways to conduct marketing research, depending on the question you’re trying to answer or the problem you’re trying to solve. Some marketing research process examples include: 

• Customer interviews
• Focus groups
• Competitive analysis
• Surveys or questionnaires
• Observation

Which method you should choose will depend on your objectives.

Benefits of doing market research

In 2018, less than 40% of marketers used consumer research to drive decisions. By 2021, 60% of marketers said they use customer data the majority of the time when making decisions. 

Why the jump? Marketers have realized the significant value of the marketing research process and are using it to improve their decision making across the business. 

Market research is powerful because it can help solve real problems. The marketing research process helps leaders answer questions and gain insight into their business, such as:  

• Why do customers buy certain products or behave a certain way
• What problems do customers have and what pain points the business can address
• What’s trending in the industry and what the competitive landscape looks like
• The level of demand for a type of product or service
• Customer perceptions or opinions on pricing
• Untapped opportunities for product development or marketing  

Bottom line? The marketing research process helps your bottom line. 

When you understand customer behavior and needs, the market landscape, and your own product performance, you can make better, strategic decisions that drive the business forward.

5 marketing research process steps

There are five basic steps to the marketing research process. The specific execution of these steps will vary based on your company’s specific needs and capabilities, but the outline below provides a good starting point.

1. Define the problem

In this initial step, determine why you need to conduct research in the first place. Once you’ve defined why you need research, decide what kind of information you need and how your team will use that information. This will make it easy to design an appropriate research plan in the next step.

For example, let’s say the business is seeing a drop in sales on one product. Your research question could be “Why are sales for product A dropping?” There could be a few reasons, such as loss of customer interest based on product performance or industry competition. Your marketing research can then be designed around investigating those possibilities.

Pro tip: Consult with decision-makers in your company. You’ll want to be sure that your marketing research adequately addresses their concerns and gives them the information they need to make a decision. Work with them to determine any specific metrics they’ll use to make their decision so you can tailor your research process to include their needs.

2. Develop a research plan

Next, begin outlining your research approach. Develop a hypothesis, and then determine how you will conduct research. There are many ways to gather data, including surveys and focus groups, so it’s important to choose a method that will give you the information you need from the people you care about.

• Your target audience
• The research tools you will use
• Who will be involved in the research process (e.g., customers, internal staff, or both?)
• How you will select research participants
• Your research timeline
• Project resources

If you’re conducting a survey, interviews, or focus group, consider how you will incentivize participants, what kinds of questions you will ask, and how to collect the responses.

3. Collect data

With a research plan in place, you can begin conducting your research. As you do so, ensure that everyone involved in collecting data has received training to do so effectively. You’ll want to supervise and evaluate their efforts throughout the research process to ensure you get quality data.

Make sure to collect and record data in a secure place, preferably using a standardized format, to ensure you have accurate, usable data.

4. Analyze data

As your research concludes, begin data analysis . This step includes editing, coding, or transcribing data as needed to make it readable and manipulatable. Data analysis can take many forms, but it often includes making graphs and tables to spot trends. Remember, your analysis should reveal whether your hypothesis established in step two was correct.

5. Prepare a report

The marketing research process concludes with a presentation of your research. Generally, this takes the form of a written report that includes the initial problem, an outline of the research, and recommendations for how to proceed. This step can also take the form of oral reports or presentations—anything that communicates your research clearly.

However you present this information, make your report clear and understandable for any individuals who weren’t directly involved in the research process. Give them all the information necessary for decision-making. At this point, your company can take action based on your findings, thus concluding the marketing research process.

Lucidchart and the marketing research process

One size does not fit all when it comes to the marketing research process. While the basic steps are applicable to most organizations, they will often be executed very differently. Your organization needs to personalize your process, and Lucidchart makes it easy to do so.

For example, the formality of the marketing research process varies from company to company. Smaller businesses might conduct casual research with a Google survey. A large company, however, might require carefully selected focus groups and formal questionnaires. With Lucidchart, you can customize your marketing research process to fit your organization’s needs.

Marketing research can play a key role in making the right decisions for your company. Developing your own marketing research process will help you achieve even better results from your data collection and analysis, in turn helping you make more informed choices.

Define your marketing research process today with Lucidchart.

About Lucidchart

Lucidchart, a cloud-based intelligent diagramming application, is a core component of Lucid Software's Visual Collaboration Suite. This intuitive, cloud-based solution empowers teams to collaborate in real-time to build flowcharts, mockups, UML diagrams, customer journey maps, and more. Lucidchart propels teams forward to build the future faster. Lucid is proud to serve top businesses around the world, including customers such as Google, GE, and NBC Universal, and 99% of the Fortune 500. Lucid partners with industry leaders, including Google, Atlassian, and Microsoft. Since its founding, Lucid has received numerous awards for its products, business, and workplace culture. For more information, visit lucidchart.com.

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4.1 The Marketing Research Process – Steps 1 and 2

The marketing research process.

The basic steps used to conduct marketing research, defining the problem, designing the research, designing the data collections forms, specifying the sample, collecting the data, analyzing the data, and writing / presenting the findings,  are shown below. After the graphic, each step will be explained in detail.

Figure 4.1.1: The Marketing Research Process

Step 1: Define the Problem (or Opportunity)

There’s a saying in marketing research that a problem half defined is a problem half solved. Defining the “problem” of the research sounds simple, doesn’t it? Suppose your product is tutoring other students in a subject you’re a whiz at. You have been tutoring for a while, and people have begun to realize you’re very good at it. Then, suddenly, your business drops off. Or it explodes, and you can’t cope with the number of students you’re being asked to help. If the business has exploded, should you try to expand your services? Perhaps you should subcontract with some other “whiz” students. You would send them students to be tutored, and they would give you a cut of their pay for each student you referred to them.

Both of these scenarios would be a problem for you, wouldn’t they? They are problems insofar as they cause you headaches. But are they really  the  problem? Or are they the symptoms of something bigger? For example, maybe your business has dropped off because your school is experiencing financial trouble and has lowered the number of scholarships given to incoming freshmen. Consequently, there are fewer total students on campus who need your services. Conversely, if you’re swamped with people who want you to tutor them, perhaps your school awarded more scholarships than usual, so there are a greater number of students who need your services. Alternately, perhaps you ran an ad in your school’s college newspaper, and that led to the influx of students wanting you to tutor them.

Businesses are in the same boat you are as a tutor. They take a look at symptoms and try to drill down to the potential causes. If you approach a marketing research company with either scenario—either too much or too little business—the firm will seek more information from you such as the following:

• In what semester(s) did your tutoring revenues fall (or rise)?
• In what subject areas did your tutoring revenues fall (or rise)?
• In what sales channels did revenues fall (or rise): Were there fewer (or more) referrals from professors or other students? Did the ad you ran result in fewer (or more) referrals this month than in the past months?
• Among what demographic groups did your revenues fall (or rise)—women or men, people with certain majors, or first-year, second-, third-, or fourth-year students?

The key is to look at all potential causes so as to narrow the parameters of the study to the information you actually need to make a good decision about how to fix your business if revenues have dropped or whether or not to expand it if your revenues have exploded.

A hypothesis should then be constructed. The hypothesis is an educated guess as to what the researcher expects to discover. Every bit of data collected, should go towards proving or disproving the hypothesis. Once this is clear, the next task for the researcher is to put into writing the research objective. The research objective is the goal(s) the research is supposed to accomplish. The marketing research objective for your tutoring business might read as follows:

To survey college professors who teach 100- and 200-level math courses to determine why the number of students referred for tutoring dropped in the second semester.

This is admittedly a simple example designed to help you understand the basic concept. If you take a marketing research course, you will learn that research objectives get a lot more complicated than this. The following is an example:

“To gather information from a sample representative of the U.S. population among those who are ‘very likely’ to purchase an automobile within the next 6 months, which assesses preferences (measured on a 1–5 scale ranging from ‘very likely to buy’ to ‘not likely at all to buy’) for the model diesel at three different price levels. Such data would serve as input into a forecasting model that would forecast unit sales, by geographic regions of the country, for each combination of the model’s different prices and fuel configurations (Burns & Bush, 2010).”

Now do you understand why defining the problem is complicated and half the battle? Many a marketing research effort is doomed from the start because the problem was improperly defined. Coke’s ill-fated decision to change the formula of Coca-Cola in 1985 is a case in point: Pepsi had been creeping up on Coke in terms of market share over the years as well as running a successful promotional campaign called the “Pepsi Challenge,” in which consumers were encouraged to do a blind taste test to see if they agreed that Pepsi was better. Coke spent four years researching “the problem.” Indeed, people seemed to like the taste of Pepsi better in blind taste tests. Thus, the formula for Coke was changed. But the outcry among the public was so great that the new formula didn’t last long—a matter of months—before the old formula was reinstated. Some marketing experts believe Coke incorrectly defined the problem as “How can we beat Pepsi in taste tests?” instead of “How can we gain market share against Pepsi?” also, in the blind taste tests, participants were not told that the original Coke would be taken away (Burns & Bush, 2010) While this example is dated, it is a perfect example of research gone wrong.

II. Step 2: Design the Research

The next step in the marketing research process is to do a research design. The research design is your “plan of attack.” It outlines what data you are going to gather and from whom, how and when you will collect the data, and how you will analyze it once it’s been obtained. Let’s look at the data you’re going to gather first.

There are two basic types of data you can gather. The first type is primary data. Primary data is information you collect yourself, using hands-on tools such as interviews or surveys, specifically for the research project you’re conducting. Secondary data is data that has already been collected by someone else, or data you have already collected for another purpose. Collecting primary data is more time consuming, work intensive, and expensive than collecting secondary data. Consequently, you should always try to collect secondary data first to solve your research problem, if you can. A great deal of research on a wide variety of topics already exists. If this research contains the answer to your question, there is no need for you to replicate it. Why reinvent the wheel?

Sources of Secondary Data

Your company’s internal records are a source of secondary data. Data that has been collected as part of your marketing intelligence gathering efforts for other projects are secondary data. Syndicated data can be purchased from other firms, typically from research companies. Syndicated research is primary data that marketing research firms collect on a regular basis and sell to other companies. J.D. Power & Associates is a provider of syndicated research. The company conducts independent, unbiased surveys of customer satisfaction, product quality, and buyer behavior for various industries. The company is best known for its research in the automobile sector. Another of the best-known sellers of syndicated research is the Nielsen Company, which produces the Nielsen ratings. The Nielsen ratings measure the size of television, radio, and newspaper audiences in various markets. You have probably read or heard about TV shows that get the highest (Nielsen) ratings. (Arbitron does the same thing for radio ratings.) Nielsen, along with its main competitor, Information Resources, Inc. (IRI), also sells businesses scanner-based research. Scanner-based research is information collected by scanners at checkout stands in stores. Each week Nielsen and IRI collect information on the millions of purchases made at stores. The companies then compile the information and sell it to firms in various industries that subscribe to their services. The Nielsen Company has also recently teamed up with Facebook to collect marketing research information. Via Facebook, users will see surveys in some of the spaces in which they used to see online ads (Rappeport, Gelles, 2009).

By contrast, MarketResearch.com is an example of a marketing research aggregator. A marketing research aggregator is a marketing research company that doesn’t conduct its own research and sell it. Instead, it buys research reports from other marketing research companies and then sells the reports in their entirety or in pieces to other firms. Check out MarketResearch.com’s Web site. As you will see there are a huge number of studies in every category imaginable that you can buy for relatively small amounts of money.

Market research aggregators buy research reports from other marketing research companies and then resell them in part or in whole to other companies so they don’t have to gather primary data.

Source:  http://www.marketresearch.com .

The library is a good place to gather free secondary data. It has searchable databases as well as handbooks, dictionaries, and books, some of which you can access online. Government agencies also collect and report information on demographics, economic and employment data, health information, and balance-of-trade statistics, among a lot of other information. The U.S. Census Bureau collects census data every ten years to gather information about who lives where. Basic demographic information about sex, age, race, and types of housing in which people live in each U.S. state, metropolitan area, and rural area is gathered so that population shifts can be tracked for various purposes, including determining the number of legislators each state should have in the U.S. House of Representatives. For the U.S. government, this is primary data. For marketing managers it is an important source of secondary data.

Table 4.1: Examples of Primary Data Sources versus Secondary Data Sources

Gauging the Quality of Secondary Data

When you are gathering secondary information, it’s always good to be a little skeptical of it. Sometimes studies are commissioned to produce the result a client wants to hear—or wants the public to hear. For example, throughout the twentieth century, numerous studies found that smoking was good for people’s health. The problem was the studies were commissioned by the tobacco industry. Web research can also pose certain hazards. There are many biased sites that try to fool people that they are providing good data. Often the data is favorable to the products they are trying to sell. Beware of product reviews as well. Unscrupulous sellers sometimes get online and create bogus ratings for products. See below for questions you can ask to help gauge the credibility of secondary information.

Gauging the Credibility of Secondary Data: Questions to Ask

• Who gathered this information?
• For what purpose?
• What does the person or organization that gathered the information have to gain by doing so?
• Was the information gathered and reported in a systematic manner?
• Is the source of the information accepted as an authority by other experts in the field?
• Does the article provide objective evidence to support the position presented?

Types of Research Design

Now let’s look specifically at the types of research designs that are utilized. By understanding different types of research designs, a researcher can solve a client’s problems more quickly and efficiently without jumping through more hoops than necessary. Research designs fall into one of the following three categories:

• Exploratory research design
• Descriptive research design
• Causal research design (experiments)

Exploratory Research

An exploratory research design is useful when you are initially investigating a problem but  haven’t defined it well enough to do an in-depth study. Perhaps via your regular market intelligence, you have spotted what appears to be a new opportunity in the marketplace. You would then do exploratory research to investigate it further and “get your feet wet,” as the saying goes. Exploratory research is less structured than other types of research, and secondary data is often utilized.

One form of exploratory research is qualitative research. Qualitative research is any form of research that includes gathering data that is not quantitative, and involves exploring questions such as why  as much as  what  or  how much . Different forms, such as in-depth interviews and focus group interviews, are common in marketing research.

The in-depth interview—engaging in detailed, one-on-one, question-and-answer sessions with potential buyers—is an exploratory research technique. However, unlike surveys, the people being interviewed aren’t asked a series of standard questions. Instead the interviewer is armed with some general topics and asks questions that are open ended, meaning that they allow the interviewee to elaborate. “How did you feel about the product after you purchased it?” is an example of a question that might be asked. An in-depth interview also allows a researcher to ask logical follow-up questions such as “Can you tell me what you mean when you say you felt uncomfortable using the service?” or “Can you give me some examples?” to help dig further and shed additional light on the research problem. In-depth interviews can be conducted in person, online, or over the phone. The interviewer either takes notes or records the interview.

Focus groups and case studies are often utilized for exploratory research as well. A focus group is a group of potential buyers who are brought together to discuss a marketing research topic with one another. A moderator is used to focus the discussion, the sessions are recorded, and the main points of consensus are later summarized by the market researcher. Textbook publishers often gather groups of professors at educational conferences to participate in focus groups. However, focus groups can also be conducted on the telephone, in online chat rooms, or both, using meeting software like WebEx. The basic steps of conducting a focus group are outlined below.

The Basic Steps of Conducting a Focus Group

• Establish the objectives of the focus group. What is its purpose?
• Identify the people who will participate in the focus group. What makes them qualified to participate? How many of them will you need and what they will be paid?
• Obtain contact information for the participants and send out invitations (usually e-mails are most efficient).
• Develop a list of questions.
• Choose a facilitator.
• Choose a location in which to hold the focus group and the method by which it will be recorded.
• Conduct the focus group. If the focus group is not conducted electronically, include name tags for the participants, pens and notepads, any materials the participants need to see, and refreshments. Record participants’ responses.
• Summarize the notes from the focus group and write a report for management.

A case study looks at how another company solved the problem that’s being researched. Sometimes multiple cases, or companies, are used in a study. Case studies nonetheless have a mixed reputation. Some researchers believe it’s hard to generalize, or apply, the results of a case study to other companies. Nonetheless, collecting information about companies that encountered the same problems your firm is facing can give you a certain amount of insight about what direction you should take. In fact, one way to begin a research project is to carefully study a successful product or service.

Two other types of qualitative data used for exploratory research are ethnographies and projective techniques. In an ethnography, researchers interview, observe, and often videotape people while they work, live, shop, and play. The Walt Disney Company has recently begun using ethnographers to uncover the likes and dislikes of boys aged six to fourteen, a financially attractive market segment for Disney, but one in which the company has been losing market share. The ethnographers visit the homes of boys, observe the things they have in their rooms to get a sense of their hobbies, and accompany them and their mothers when they shop to see where they go, what the boys are interested in, and what they ultimately buy. (The children get seventy-five dollars out of the deal, incidentally.) (Barnes, 2009)

Projective techniques are used to reveal information research respondents might not reveal by being asked directly. Asking a person to complete sentences such as the following is one technique:

People who buy Coach handbags  __________.

(Will he or she reply with “are cool,” “are affluent,” or “are pretentious,” for example?)

KFC’s grilled chicken is  ______.

Or the person might be asked to finish a story that presents a certain scenario. Word associations are also used to discern people’s underlying attitudes toward goods and services. Using a word-association technique, a market researcher asks a person to say or write the first word that comes to his or her mind in response to another word. If the initial word is “fast food,” what word does the person associate it with or respond with? Is it “McDonald’s”? If many people reply that way, and you’re conducting research for Burger King, that could indicate Burger King has a problem. However, if the research is being conducted for Wendy’s, which recently began running an advertising campaign to the effect that Wendy’s offerings are “better than fast food,” it could indicate that the campaign is working.

Completing cartoons is yet another type of projective technique. It’s similar to finishing a sentence or story, only with the pictures. People are asked to look at a cartoon such as the one shown in  Figure 4.2 “Example of a Cartoon-Completion Projective Technique” . One of the characters in the picture will have made a statement, and the person is asked to fill in the empty cartoon “bubble” with how they think the second character will respond. In this example, how do you think the woman would reply to being asked, “Thanks for doing business with us today. Is there a way we can better serve you in the future?”

Figure 4.1.2: Example of a Cartoon-Completion Projective Technique

In some cases, your research might end with exploratory research. Perhaps you have discovered your organization lacks the resources needed to produce the product. In other cases, you might decide you need more in-depth, quantitative research such as descriptive research or causal research, which are discussed next. Most marketing research professionals advise using both types of research, if it’s feasible. On the one hand, the qualitative-type research used in exploratory research is often considered too “lightweight.” On the other hand, relying solely on quantitative information often results in market research that lacks ideas.

Descriptive Research

Anything that can be observed and counted falls into the category of descriptive research design. A study using a descriptive research design involves gathering hard numbers, often via surveys, to describe or measure a phenomenon so as to answer the questions of  who ,  what ,  where ,  when , and  how . “On a scale of 1–5, how satisfied were you with your service?” is a question that illustrates the information a descriptive research design is supposed to capture.

Physiological measurements also fall into the category of descriptive design. Physiological measurements measure people’s involuntary physical responses to marketing stimuli, such as an advertisement. Elsewhere, we explained that researchers have gone so far as to scan the brains of consumers to see what they  really  think about products versus what they say about them. Eye tracking is another cutting-edge type of physiological measurement. It involves recording the movements of a person’s eyes when they look at some sort of stimulus, such as a banner ad or a Web page. The Walt Disney Company has a research facility in Austin, Texas, that it uses to take physical measurements of viewers when they see Disney programs and advertisements. The facility measures three types of responses: people’s heart rates, skin changes, and eye movements (eye tracking) (Spangler, 2009).

A woman shows off her headgear for an eye-tracking study. The gear’s not exactly a fashion statement but . . .

lawrencegs –  Google Glass  – CC BY 2.0.

A strictly descriptive research design instrument—a survey, for example—can tell you how satisfied your customers are. It can’t, however, tell you why. Nor can an eye-tracking study tell you  why  people’s eyes tend to dwell on certain types of banner ads—only that they do. To answer “why” questions an exploratory research design or causal research design is needed (Wagner, 2007).

Causal Research

Causal research design examines cause-and-effect relationships. Using a causal research design allows researchers to answer “what if” types of questions. In other words, if a firm changes  X  (say, a product’s price, design, placement, or advertising), what will happen to  Y  (say, sales or customer loyalty)? To conduct causal research, the researcher designs an experiment that “controls,” or holds constant, all of a product’s marketing elements except one (or using advanced techniques of research, a few elements can be studied at the same time). The one variable is changed, and the effect is then measured. Sometimes the experiments are conducted in a laboratory using a simulated setting designed to replicate the conditions buyers would experience. Or the experiments may be conducted in a virtual computer setting.

You might think setting up an experiment in a virtual world such an  online game would be a viable way to conduct controlled marketing research. Some companies have tried to use Second Life for this purpose, but the results have been somewhat mixed as to whether or not it is a good medium for marketing research. The German marketing research firm Komjuniti was one of the first “real-world” companies to set up an “island” in Second Life upon which it could conduct marketing research. However, with so many other attractive fantasy islands in which to play, the company found it difficult to get Second Life residents, or players, to voluntarily visit the island and stay long enough so meaningful research could be conducted. (Plus, the “residents,” or players, in Second Life have been known to protest corporations invading their world. When the German firm Komjuniti created an island in Second Life to conduct marketing research, the residents showed up waving signs and threatening to boycott the island.) (Wagner, 2007)

An experiment conducted in a natural setting such as a store is referred to as a field experiment. Companies sometimes do field experiments either because it is more convenient or because they want to see if buyers will behave the same way in the “real world” as in a laboratory or on a computer. The place the experiment is conducted or the demographic group of people the experiment is administered to is considered the test market. Before a large company rolls out a product to the entire marketplace, it will often place the offering in a test market to see how well it will be received. For example, to compete with MillerCoors’ sixty-four-calorie beer MGD 64, Anheuser-Busch  began testing its Select 55 beer in certain cities around the country (McWilliams, 2009).

Select 55 beer: Coming soon to a test market near you? (If you’re on a diet, you have to hope so!)

Martine –  Le champagne  – CC BY-NC 2.0.

Many companies use experiments to test all of their marketing communications. For example, the online discount retailer O.co (formerly called Overstock.com) carefully tests all of its marketing offers and tracks the results of each one. One study the company conducted combined twenty-six different variables related to offers e-mailed to several thousand customers. The study resulted in a decision to send a group of e-mails to different segments. The company then tracked the results of the sales generated to see if they were in line with the earlier experiment it had conducted that led it to make the offer.

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The marketing research process explained in 6 steps.

If you operate a business, you likely already realize that constant change is something you need to be prepared for. This applies to most aspects of your business, but none more so than marketing.

Market research is a crucial tool for businesses to choose the best marketing strategies, and provides a way to evaluate those decisions by collecting hard data . However, it can seem a bit overwhelming when you’re getting started.

Just as you wouldn’t go on holiday without a plan, you shouldn’t kick off your marketing strategy journey without having data and research to guide you. A market research plan is an integral part of making the right business decisions - it ensures you can solve any problems and that you don’t waste valuable time and effort.

Did you realize that many businesses that need to reduce their marketing budget cut out market research first? This is a mistake you want to avoid, especially if you’re launching a new service or moving into a new market.

The good news is that, if you have a process in place, marketing research doesn’t have to be overly expensive or time-consuming.

In this blog post we’ll share the important steps of the marketing research process. You can follow this guide to cut costs, improve data collection, and create the perfect market research project for your company.

Define and identify the issue

The very first step in market research is identifying a problem your business is currently facing. It also happens to be the most important part of the entire process.

Most of the time this will be a large business opportunity, or an obvious issue that needs to be acted on (or even a charitable cause you want to fight for). However, sometimes there might not be enough information available to make a decision you’re comfortable with.

• That’s where a market researcher comes in. A market researcher is someone who digs into a problem and finds data that makes it easier to come up with a solution. For example, the problem might turn out to be ‘too few people are making purchases after receiving your emails’, or ‘some features of your app aren’t being used as expected,’, or 'the fluctuations in the global cotton market are affecting profit margins.'

Once you have an explanation for the business problem , you can then focus your efforts on that specific issue for the most effective results. This is also a good time to let your imagination run wild and consider what the final research report will look like. How will it help you improve?

If the answers you expect to receive will solve the problem, then you can move forward with obtaining the data. But if you’re unsure, keep refining your objective until you hit the sweet spot.

Consider the right type of research design

At this point, you’ve defined the issue and you know what types of answers you want to have by the end of the process. Now you’re ready to progress further into the marketing research process.

It’s time to choose your data collection method . This will influence everything from your research questions to the demographic you concentrate on. It’s normal for this step of the process to feel a bit overwhelming, because of all the research tools and methods available.

Don’t worry. Each different method offers a unique way to meet your research objectives and start growing your business. A few options that might work include:

Conducting surveys

Conducting a market research survey is an effective way to better understanding your target audience and their needs. There are a few different types of surveys you can use to help improve your business.

Since this step is so integral to creating a product or service that addresses a real problem, you want to make sure it's an interactive form that incites objective and accurate responses. Play around with our ready-made market research survey template below.

market research survey

Interviewing clients and prospects.

Qualitative data like interviews offer great feedback. They let you speak with the people who are going to be most affected by any marketing that you do. By taking the time to listen to their unique opinions, you’ll be able to decide on the right path of action.

A great way to do this would be to hold a Zoom interview with a large group, run an online webinar , or hold one on one sessions that are more intimate. If you’re unsure who to talk to, use the research issue to help you decide who to interview and what to ask them.

For example, if you were looking to undertake a massive marketing research project, it would make sense to talk to any marketers in your team, as well as other key decision makers.

Running user tests

This can be done on your landing page or another webpage. It’s cost effective and can provide tons of useful takeaways and insights on how current and potential customers react to a new product, different branding, or unique messaging.

An A/B test will work well to give you data on user behaviour. It’ll give you primary data that shows you things a questionnaire won’t. Heat Mapping tools are also an excellent way to get results based on the data you’re collecting.

In some cases this will be a lot of work, involving massive amounts of data. That doesn’t mean it isn’t worth it - even if someone has done similar research in the past. However, it’s a good idea to find out what results other companies have had. This can help tweak your data analysis strategy, so you can get the best results possible.

The three types of market research

Now is also the time to consider what kind of research is right for you based on the data you want to collect. There are three types of market research : causal, descriptive and exploratory.

• Causal - This research methodology is the most specific, and usually involves a field test or an experiment. This kind of research helps find a cause between two different things. For example, you might ask whether the placement of your call to action impacts how many sales you make.
• Descriptive - Do you need detailed information about a certain topic? If so, then descriptive research will be the right solution. This research helps measure topics of interest, usually in a quantitative manner. For example, you may use an online survey to gauge customer satisfaction.
• Exploratory - If your issue isn’t well understood or defined, you’ll need exploratory research. It helps narrow your focus, gain larger insights, and work through the basics before moving forward. Common exploratory market research techniques include interviews, secondary data and focus groups.

Prepare and create your research instrument

Now you have enough information to start designing a research tool. Maybe you want to create an online survey? In that case, it’s the time to start creating your questionnaire or selecting what kind kind of respondents you’re after.

product research survey

Feel like a focus group is a better option? Then you’ll have to come up with material for the moderator and prepare questions for the group interview. Think about the method you plan to use, and start getting things ready so you can progress.

But before you get off and running with your research, it’s good practice to test the tool using a small group first. This will give you additional insights into whether your choice of research fits well with the kind of results you’re after.

Once you have the sample data, place it in an Excel spreadsheet and look for anything that seems off. By doing this you can identify problems early, and guide your decision making before diving deeper into the market research process.

There are a few things to keep in mind when creating a research instrument, especially if it’s a survey. Follow the “rules” below for the best results:

• Make sure it’s simple for respondents to take part.
• Ensure each question is short and to the point.
• Offer instructions for each type of question you ask.
• Start with general questions and work towards specific queries.
• Ensure the questionnaire looks good and is easy to read.
• Pre-test it to check everything makes sense.

Start collecting relevant data

Most market research data you’ll be collecting will be numbers (quantitative) rather than observations (qualitative). However, doing both quantitative and qualitative research can be useful to get the most comprehensive results.

Sure, as a general rule quantitative data might be more practical, but combining the two gives you the best of both worlds. Then you can make sure your solution is flawless.

For example, if you’re considering new tiers of pricing for items on your website, an A/B test will give you sufficient data. But you could also interview customers to find out if a new pricing tier is something they would approve.

If your audience sample size is too small, or you don’t have enough customers to get useful data from an interview, an innovative technique is to use an influencer marketing campaign on social media for your market research.

Try to make sure that the data collected is unbiased and valid. Questions should be as neutral as possible, and incorporate both closed-ended and open-ended styles to get additional information. This can include yes or no questions, multiple-choice questions, and questions that customers can answer with contextual information.

Analyze the data and report the findings

Once you have all the information needed for your marketing research process, it’s time to analyze what that data means. While some data might immediately stand out, looking for trends is an important piece of the puzzle. Try to avoid looking for patterns based on your own assumptions - approach your research as objectively as possible.

It’s a good idea to create a research study summary explaining what process you used, the results you got, and what conclusions you came to. This can mean incorporating a written report outlining the steps that you plan to take based on the data you collected.

Even if this isn’t a formal requirement of your business, it’s a useful practice to ensure you review the results properly and can share which action should be taken and why.

Simply providing data and charts you gathered doesn’t create an action plan.

When you’re presenting your research, make sure to include answers, insights and any recommendations you have. Tables and charts can be included, but make sure there’s good reason for them to be there.

Take the time to add outcomes and suggestions on actions to take as a result of what you have learned. You could even create simple graphics with a free online tool. It makes your research feel more meaningful and makes the path to improvement much easier to visualize.

Take the research and move forward into action

The research is done. Now you can take some time to enjoy a well-deserved pat on the back. However, you’re not done working just yet. Once you have a solution to whatever issue you were dealing with, you have to take action to fix it.

Now is the time to start developing your marketing campaigns and strategies. Test each option and get started. And keep in mind that just because you’re done with this market research project, it doesn’t mean you won’t have to do more in the future.

As we mentioned earlier, the business world’s problems and trends change regularly. That’s why consistent research is so important. The data and insights you received in this phase of research will evolve as time goes on - it’s critical to constantly analyze data over time to continue improving.

The techniques at your disposal will evolve as you learn about the industry, your specific buyer personas, and your company as a whole. When you take all of these things into consideration, it should be clear why businesses should spend more money and time on market research, rather than cutting down when times get a little tough.

These six steps to building a successful marketing research process will set you on the right path to making the most of your business. Just remember that you can always dive deeper to improve your marketing campaigns.

Don’t be afraid to branch out and try new things as they become available. The most important thing is having a system that helps rather than hinders your company - so get out there and get started today.

Neal Schaffer is an authority on helping innovative businesses digitally transform their sales and marketing. Founder of the digital marketing consultancy PDCA Social, Neal also teaches at Rutgers Business School and the Irish Management Institute.

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BUS101: Introduction to Business

Marketing research process.

To accurately arrive at a target market, businesses must research who their typical customer is. Read each section to learn about conducting marketing research. Try to summarize these lessons and write a brief reflection of how you would research if you were the owner of an upscale retail clothing store in a major metropolitan city with several competitors.

Learning Objectives

• Outline objectives and problems as part of the marketing research process
• Describe the formulation of research design within the context of the marketing research process
• Recognize the basis for developing a specific approach to the objective or problem to be solved through the marketing research process
• Construct the rationale of fieldwork or data collection from a marketing research process perspective
• Summarize the characteristics of data preparation and methodology of data analysis
• Identify the characteristics of preparing, presenting, and documenting the results of marketing research
• The marketing research process involves six steps: 1: problem definition, 2: develop an approach to the problem, 3: research design formulation, 4: data collection, 5: data preparation and analysis, and 6: report preparation and presentation.
• The first step in any marketing research study is to define the problem while taking into account the purpose of the study, the relevant background information, what information is needed, and how it will be used in decision making. This stage involves discussion with the decision-makers, interviews with industry experts, analysis of secondary data, and, perhaps, some qualitative research, such as focus groups.
• Marketers can employ three types of objectives their research: exploratory research, descriptive research, and causal research.
• The marketing process details the procedures to obtain this information. It aims to design a study that will test the hypotheses of interest, determine possible answers to the research questions, and provide the information needed for decision making.
• Researchers need to choose the type of data they want to obtain from the respondents, such as via a survey or experiment and design a questionnaire and sampling plan to choose the most appropriate respondents for their study.
• Research design involves secondary data analysis; qualitative research; quantitative data methods (survey, observation, and experimentation); information needed; measurement and scaling procedures; questionnaire design; sampling process and sample size; and a plan of data analysis.
• Data collection involves a field force or staff that operates in the field, as in the case of personal interviewing, from an office by telephone, or through the mail (traditional mail and mail panel surveys with pre-recruited households).
• Proper selection, training, supervision, and evaluation of the field force helps minimize data-collection errors. Data is carefully edited, coded, transcribed, and verified so it can be properly analyzed during this phase of the research process. Verification ensures that the data from the original questionnaires have been accurately transcribed, while data analysis gives meaning to the data that have been collected.
• Bias must be avoided when interpreting data because only the results (not personal opinion) should be communicated.
• The entire project should be documented in a written report that addresses the specific research questions identified; describes the approach, research design, data collection, and data analysis procedures adopted; and presents the results and the major findings.
• The findings should be presented in a comprehensible format so they can be readily used in the decision-making process. An oral presentation to management, using tables, charts, and graphs, will enhance clarity and impact.
• Business Intelligence – Information that pertains to the history, current status, or future projections of a business organization.
• Data – Values of qualitative or quantitative variables belonging to a set of items; Data are typically the results of measurements and can be visualized using graphs or images
• Data Mining – A technique for searching large-scale databases for patterns; used mainly to find previously unknown correlations between variables that may be commercially useful.
• Ethnographic research – Information regarding cultural phenomena.
• Executive Summary – A short section or document that summarizes a longer report or proposal so readers can quickly learn about a larger work without having to read it in its entirety.
• Mall Intercept – A survey where respondents are intercepted in shopping malls to administer a survey on the spot or invite them to a research facility to conduct the interview.
• Market Research – The systematic collection and evaluation of data regarding customers' preferences for actual and potential products and services.
• Marketing Research – A research process that links the consumers, customers, and public to the marketer through information. This information is used to identify and define marketing opportunities and problems; generate, refine, and evaluate marketing actions; monitor marketing performance; and improve understanding of marketing as a process.
• Objective – Not influenced by irrational emotions or prejudices.
• Qualitative Research – A method of inquiry employed in many different academic disciplines, traditionally in the social sciences but also in market research and further contexts.
• Scientific Method – A body of techniques for acquiring new knowledge or correcting and integrating previous knowledge. To be termed scientific, a method of inquiry must be based on empirical and measurable evidence subject to specific principles of reasoning.
• Secondary Data – Information collected by someone other than the user of the data.
• Secondary Research – A research process that Involves the summary, collation, and synthesis of existing research rather than primary research, where data is collected from subjects or experiments.
• Survey Research – A research process that obtains information from a predetermined set of questions given to a sample, used to assess thoughts, opinions, and feelings.
• Systematic – Carried out using a planned, ordered procedure.

Marketing Research Is Systematic and Objective:

• Systematic planning is required at all stages of the marketing research process. The procedures followed at each stage are methodologically sound, well documented, and, as much as possible, planned in advance. Marketing research uses the scientific method in that data are collected and analyzed to test prior notions or hypotheses.
• Marketing research aims to provide accurate information that reflects a true state of affairs and, thus, should be conducted impartially. While research is always influenced by the researcher's research philosophy, it should be free from the personal or political biases of the researcher or the management.

Overview of the Marketing Research Process:

Step 1: problem definition, step 2: development of an approach to the problem, step 3: research design formulation.

• Step 4: Field Work or Data Collection

Step 5: Data Preparation and Analysis

Step 6: report preparation and presentation.

Define the problem and research objectives. The first step in any marketing research study is to define the problem while taking into account the purpose of the study, the relevant background information, what information is needed, and how it will be used in decision making. This stage involves discussion with the decision-makers, interviews with industry experts, analysis of secondary data, and, perhaps, some qualitative research, such as focus groups. There are three types of objectives that can be deployed in marketing research:

The first stage of the marketing research process involves defining the problem.

1. Exploratory research

• Used to better define a problem or scout opportunities.
• In-depth interviews and discussion groups are commonly used.

2. Descriptive research

• Used to assess a situation in the marketplace (that is, the potential for a specific product or consumer attitudes).
• Methods include personal interviews and surveys.

3. Causal research

• Used for testing cause and effect relationships.
• Typically through estimation.

Step two includes formulating an objective or theoretical framework, analytical models, research questions, hypotheses, and identifying characteristics or factors that can influence the research design. This process is guided by discussions with management and industry experts, case studies and simulations, analysis of secondary data, qualitative research, and pragmatic considerations.

Planning involves the creation and maintenance of a plan.

A research design is a framework or blueprint for conducting the marketing research project. It details the procedures necessary for obtaining the required information, and its purpose is to design a study that will test the hypotheses of interest, determine possible answers to the research questions, and provide the information needed for decision making. Decisions are also made regarding what data should be obtained from the respondents (such as by conducting a survey or an experiment). A questionnaire and sampling plan also are designed in order to select the most appropriate respondents for the study. The following steps are involved in formulating a research design:

• Secondary data analysis (based on secondary research)
• Qualitative research
• Methods of collecting quantitative data (survey, observation, and experimentation)
• Definition of the information needed
• Measurement and scaling procedures
• Questionnaire design
• Sampling process and sample size
• Plan of data analysis

Secondary data analysis is one of the steps involved in formulating a Research Design

Developing the research plan for collecting information:

The research plan outlines sources of existing data and spells out the specific research approaches, contact methods, sampling plans, and instruments that researchers will use to gather data. This plan includes a written proposal that outlines the management problem, research objectives, information required, how the results will help management decisions, and the budget allocated for the research.

Step 4: Fieldwork or Data Collection

Fieldwork, or data collection, involves a field force or staff that operates either in the field, as in the case of personal interviewing (focus group, in-home, mall intercept, or computer-assisted personal interviewing), from an office by telephone (telephone or computer-assisted telephone interviewing/CATI), or through the mail (traditional mail and mail panel surveys with pre-recruited households). Proper selection, training, supervision, and evaluation of the field force helps minimize data-collection errors. In marketing research, an example of data collection is when a consumer goods company hires a market research company to conduct in-home ethnographies and in-store shop-alongs in an effort to collect primary research data.

Soldiers and family members participated in USAG-RC-sponsored focus group s

Marketing Research is Systematic and Objective

• Systematic planning is required at all stages of the marketing research process, especially in the data collection step. The procedures followed at each stage are methodologically sound, well documented, and, as much as possible, planned in advance. Marketing research uses the scientific method in that data are collected and analyzed to test prior notions or hypotheses.
• Marketing research aims to provide accurate information that reflects a true state of affairs and thus, should be conducted impartially. While research is always influenced by the researcher's philosophy, it should be free from the personal or political biases of the researcher or the management. This is especially important in the data collection phase. The data collected will be analyzed and used to make marketing decisions. Hence, it is vital that the data collection process be free of as much bias as possible.

Primary Versus Secondary Research

There are many sources of information a marketer can use when collecting data. The Nielson Ratings is an audience measurement system that provides data on audience size and the composition of television markets in the United States. The Gallup Polls conduct public opinion polls with its results published daily in the form of data-driven news. The U.S Census Bureau, directed by the U.S. Government is the principal agency that is responsible for producing data about American people and the economy. Population, housing, and demographic characteristics are gathered to help plan and define transportation systems, police and fire precinct, election districts, and schools.

Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names in different business, science, and social science domains. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes. Marketers use databases to extract applicable information that identifies customer patterns, characteristics, and behaviors.

Notes on data analysis process and testing parameters .

Business intelligence covers data analysis that relies heavily on aggregation and focusing on business information. In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data and CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on the application of statistical or structural models for predictive forecasting or classification. Text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All are varieties of data analysis.

During this phase of the research process, data is carefully edited, coded, transcribed, and verified in order for it to be properly analyzed. Statistical market research tools are used. The validity of the results is also assessed to confirm how well the data measures what it is supposed to measure. Oftentimes, the research team will arrange a debriefing session with the client to review highlights from the data and brainstorm potential ideas on how the findings can be implemented. This typically happens when a client hires a market research company and they want to remain thoroughly involved in the research process.

Researchers can set up a debriefing meeting to review the analysis

Types of data analysis outputs: heat map, bar plots, scatter plots .

Helpful tips to keep in mind during data analysis:

• Communicate the results.
• Try to avoid bias when interpreting data.
• Just because results fail to confirm original hypotheses, does not mean the research results are useless.

During the Report Preparation and Presentation step, the entire project should be documented in a written report that addresses the specific research questions identified; describes the approach, the research design, data collection, and data analysis procedures adopted; and presents the results and the major findings. This permanent document is also helpful because it can be easily referenced by others who may not have been part of the research.

The findings should be presented in a comprehensible format so that they can be readily used in the decision-making process. In addition, an oral presentation should be made to management using tables, figures, and graphs to enhance clarity and impact.

Someone giving a presentation using visual elements

A successful presentation will include but is not limited to the following elements:

• Final conclusions (based on the insights gathered from data collected) that effectively meet the initial objectives of the research
• Recommendations about how to apply the research
• Charts, graphs, and visual elements that help showcase important facts and make the presentation easily digestible and memorable

A formal research report presentation typically includes the following:

• Table of Contents
• Executive Summary
• Research Objectives
• Research Methodology
• Highlights of Fieldwork Data Collected
• Appendix (including Respondent Screening Instrument and Questionnaire)
• Findings/Insights
• Recommendations/Implications and Action Plan

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How To Conduct Marketing Research in Five Steps

March 31, 2020 (Updated: May 4, 2023)

As marketing and business practices are constantly evolving and consumers’ needs change, it’s important for your team to regularly conduct marketing research. With marketing research, your team can learn more about your target audiences and which marketing strategies and plans are the most successful for your brand. It can also help you uncover gaps in your content marketing efforts and how to stay competitive in your industry. In this article, we discuss:

• What Are the Steps in the Research Process?

How to Conduct Marketing Research

Tips for the marketing research process, what are the steps in the marketing research process.

Image via Flickr by gdsteam

The steps in the research process include identifying a situation, making a plan, gathering information, evaluating data, and then finally putting all of this work into action. The research process is helpful for businesses when creating their marketing efforts. Marketing research tells businesses what consumers want and helps them identify new marketing strategies to use. It also helps businesses better understand their target audience so they can create more effective marketing content.

Related: How To Find and Build a Relationship With Your Target Audience

The marketing research process tends to take a lot of time and effort, but it is worth all the work when your marketing team can create more effective marketing strategies. Once you learn each step of the research process, your team should be faster and more efficient at finding useful results.

Here are steps to follow when conducting market research:

1. Identify the Situation

The first step of the marketing research process is the most important part. During this first step, you need to identify what situation, opportunity, or problem you are going to research. Define the purpose of your market research and the scope of what you are looking at. For example, the focus of your marketing research might be to understand why more men aren’t interested in your product. By knowing what you are trying to learn through this process, you will have a better idea of what data you need to collect and analyze.

When figuring out what you want to learn, come up with the research questions you want to answer. They can help you stay focused during the entirety of your marketing research. Many market research questions will be about buyer demographics or marketing strategies. Here are some example questions:

• What is the best marketing strategy for targeting Millennials?
• What demographics use our services the most?
• Are we putting enough time and money into our social media strategies?
• Who is our ideal customer?
• What is our most cost-effective form of advertising?

After creating your questions, determine what information you’ll need to find over the course of your research. Also, think about any potential causes of a problem you need to solve. Likewise, think of the potential effects of any marketing strategies you want to implement. This preliminary planning can make the rest of your research process go smoothly.

2. Create a Marketing Research Plan

Now that you have a clear idea of what you want to study and what information you need, it’s time to create your marketing research plan. In this step of the research process, determine which methods you can use to answer your research questions. Think about where you can find relevant information and what strategies you should use to gather additional data.

When creating your marketing research plan, look at what other companies have done to find results. Look at different case studies to see what strategies they used and what data they collected. By seeing what worked for companies similar to yours, you can save a lot of time and effort.

These are some common methods marketing research teams use to help them find important information, including:

Surveys are a great way to find out key demographic data and insights into your consumers’ attitudes. When creating surveys, use a logical format so survey takers understand what you are asking. Group questions that are similar together, and use things such as page titles and instructions to guide people through your survey.

Make your survey is brief, so more people answer all of your questions. If your survey takes more than a few minutes to complete people may be less likely to answer all the questions. Ask simple questions and avoid having too many fill-in-the-blank questions. Many people prefer to answer multiple-choice questions instead, since they require less effort.

When asking questions, start with more lighthearted ones to ease people into the survey. Then, if you need to ask more sensitive questions, include them toward the end of the survey. Also, make sure all of your questions are relevant to the survey. Have multiple people test out the survey to ensure survey takers are interpreting your questions as you intended. Also, avoid yes/no questions. Instead, ask questions where people can give more nuanced answers.

Many marketing research teams use interviews to gather qualitative data about their prospects or customers. An interview could be one-on-one or include multiple people in a focus group. To determine who your team will interview, you may need to do some prior demographic research. Learn who’s feedback would be most useful in the research process.

Use your research questions to help you create questions to ask the people you’re interviewing. It may also be useful to explain the purpose of this interview, so people have a better idea of what information they should provide.

Related: How To Write Testimonials and Where To Put Them On Your Site

A/B tests are quite useful for learning user behavior. You can use A/B tests on emails, landing pages, or websites to learn which strategies lead to the best responses and actions. For example, one common A/B test is having different messaging on each version of the test. Then, you can learn what copy leads to more user interactions. You can also learn what branding captures more people’s attention. After you learn which strategies get the most impressions (or whatever other criteria you use), you can implement those strategies for more successful marketing campaigns.

Looking for more helpful marketing tips like these? Sign up for the CopyPress newsletter and get industry insights, expert advice, and marketing tools to help your business or agency scale, promote, and convert with content.

3. Gather Data and Information

Now that you have your plan in place, it’s time to start implementing it to gather your information. During this process, gather both quantitative and qualitative data. Quantitative data consists of numbers and hard data. This kind of data helps marketing teams answer questions about how much, how often, or how many. Qualitative data is non-numerical, descriptive, and observational. You can find qualitative data through focus groups or interviews. It can help you learn more about people’s feelings or attitudes toward something.

While gathering your data and information, you may find that you need to implement additional strategies to get even more data. Having to adjust your plan is a normal part of the research process, as you may run into challenges or insights you did not foresee. Throughout the process, check in with your team to make sure you are getting the information you need.

Also, when seeking data, make sure your team remains unbiased. It’s easy to look for information that supports your opinion, but this will undermine the validity of your research. Instead, keep an open mind during your research, so you can find data that will actually be useful for your team. While asking questions, have a mix of closed-ended and open-ended ones to avoid influencing participants’ answers.

4. Evaluate Data and Share Findings

Once you gather all the information and data you need, it’s time to analyze and evaluate it all. Look for patterns and trends within your data. Avoid trying to find specific patterns based on your predictions. Instead, look at all of your data and see what you find.

Writing a summary of your marketing research plan and the processes you used can be helpful. In this summary, also include your results and conclusions. Discuss things that you would have done differently in the future. Then, you can refer to this summary for future projects and save valuable time and resources. Your summary should also include your plan of action based on your findings.

Outline the next steps you will take. For instance, if you were trying to figure out which social media platform your target audience uses the most and you find it is Instagram, your team should now create a plan for marketing on Instagram.

Related: How To Solve 5 Data Issues for Campaign Managers

5. Implement a Plan Based on Research

Now that you understand your findings, it’s time to implement your plan based on them. Begin to create a campaign or use marketing strategies based on your results. Throughout the course of your plan, keep track of the results. You may find that your information and data weren’t good predictors of the actual outcome. For example, if your research told you that more Facebook ad spending would lead to more website views and it isn’t, you may need to make adjustments to your plan.

Effective marketing strategies are constantly changing, so your marketing research process is never completely finished. Your team should continue to follow the research process to stay innovative and reach more people. Continue to evaluate your results to learn what things you could improve. If your marketing plan is working well, make note of your growth and success.

Here are some useful tips to keep in mind throughout the marketing research process:

Find Qualitative and Quantifiable Data

Though studying quantitative data such as the number of purchases customers make or social media impressions are useful, it’s also important to have more descriptive information to study. For instance, along with the buying data, learn why customers are making these purchasing decisions. You can do this through open-answer surveys and interviews.

Record Interviews and Focus Groups

Though your team should take notes when talking to customers, you should also ask if you can record the session. This way you can listen to any parts you missed and can hear the tone of people’s responses.

Stay Open Minded

During your research, be open to unexpected findings and new opportunities. You may find a more effective marketing strategy to use that you would have never thought of initially. Think of the marketing research process as a chance to expand your knowledge and gain insight.

Use Multiple Methods

One study method is unlikely to help you gather all the information you need. Use different strategies to collect data to have more well-rounded results. As we’ve mentioned, surveys, polls, and interviews are excellent methods to use when researching.

Get Large Sample Groups

The bigger and more varied your sample group is, the more meaningful your data will be. Reach out to as many people as possible when doing studies. However, some of your sample groups may consist of people of similar demographics if your team wants to learn more about a particular target audience.

Understand That Research Takes Time

When studying patterns and trends, it’s important to do so over a long period of time so you can see how different variables affect them. For example, by Christmas time, you may find your sales increase. It’s important to continue to collect data outside of these busier seasons.

Use Visuals

Rather than looking at an excel sheet of numbers and other data, organize your information into visuals such as charts and graphics. Visuals can help you see patterns and trends within your findings. They also make it easier for other employees to understand your marketing research.

Share Your Results

Though your results might be most useful for the marketing team, they also could help your company’s other departments understand more about your customers or the reasoning for your marketing plan. Compile all your data and findings into a PowerPoint and share it with every employee or present it at your next company meeting.

Now that you understand the marketing research process, your team can get started on gathering useful information that can help you shape your marketing strategies. By consistently doing marketing research, you can learn key insights about your customers and market trends. These insights can help your marketing plans can be more effective for your brand.

CopyPress writer

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The 5-Step Marketing Research Process

March 14, 2023

By Sandy Moore

With constant change being the norm in marketing and business, one thing remains the same: the need for marketing research. Marketing research is a helpful tool for organizations to better identify marketing strategies and evaluate business decisions using data. Just as you wouldn’t go on vacation without making any plans, you shouldn’t design marketing strategies without backing them with research and data. In short, the marketing research process is the backbone of informed business and marketing decisions. 

You might be surprised to hear that marketing research is one of the first things that organizations cut from their marketing budgets because of the high time (and sometimes monetary) investment. This is not the best decision, especially when your company is planning to launch a new product or venturing into a new market. As some savvy startups have learned, marketing research doesn't have to be expensive if you do it right and follow the right process. 

Let’s review best practices when going through the five-step marketing research process:

1. Define the Problem or Opportunity

The most important part of the marketing research process is defining the problem. In order to do any research and collect data, you have to know what you are trying to learn from the research. In marketing research, defining the problem you need to solve will determine what information you need and how you can get that information. This will help your organization clarify the overarching problem or opportunity, such as how to best address the loss of market share or how to launch a new product to a specific demographic. 

Develop questions that will allow you to define your problem (or opportunity), and examine all potential causes so that the research can be whittled down to the information you actually need to solve that problem or determine what action to take regarding an opportunity. Oftentimes, these are questions about who your target market or ideal buyer persona is (for example: “What does our ideal customer look like?”). These might include questions about demographics, what their occupation is, what they like to do in their spare time—anything to help you get a clearer picture of who your ideal buyer persona is. Consider as many variables and potential causes as possible.

2. Develop Your Marketing Research Plan

After you’ve examined all potential causes of the problem and have used those questions to boil down exactly what you’re trying to solve, it’s time to build the research plan. Your research plan can be overwhelming to create because it can include any method that will help you answer the research problem or explore an opportunity identified in step one. 

To help you develop the research plan, let’s review a few techniques for conducting research:

• I nterview prospects and customers . Oftentimes, you get the best feedback by using this tactic because you’re going straight to the source. This might take the form of a focus group or one-on-one interviews. Use your defined research problem to help select the right people to interview.
• Conduct a survey using SurveyMonkey or another tool.
• Run user tests on your website or landing page(s). This is a cost-effective approach that can provide a lot of insight and data on how your customers or potential customers behave or respond to something, whether it’s new messaging or branding or a modified product or service you are thinking about offering. Simple A/B tests can go a long way in discovering user behavior. Use heatmapping tools, such as Hotjar or Lucky Orange, and website analytics tools , such as Google Analytics or HubSpot analytics , to track results depending on what data you need to collect.

Oftentimes, we do all of this work and gather all of the data—only to realize that we didn’t have to reinvent the wheel because someone had already run a similar, credible study or solved the same problem. That doesn’t mean you don’t need to do any research, but learning about what other organizations have done to solve a problem or seize an opportunity can help you tweak your research study and save you time when considering all of the research options. In marketing research, this is called secondary data because it has been collected by someone else, versus the primary data that you would collect through your own research study.

3. Collect Relevant Data and Information

In marketing research, most of the data you collect will be quantitative (numbers or data) versus qualitative, which is descriptive and observational. Ideally, you will gather a mix of the two types of data. For example, you might run an A/B test on your website to see if a new pricing tier would bring in more business. In that research study, you might also interview several customers about whether or not the new pricing tier would appeal to them. This way, you’re receiving hard data and qualitative data that provide more color and insight.

When collecting data, make sure it's valid and unbiased. You should never ask a research interviewee, “You think that we should offer a higher pricing tier with additional services, correct?” This type of question is clearly designed to influence the way the person responds. Try asking both open-ended and closed-ended questions (for instance, a multiple-choice question asking what income range best describes you).

4. Analyze Data and Report Findings

Now that you’ve gathered all of the information you need, it’s time for the fun part: analyzing the data. Although one piece of information or data might jump out at you, it’s important to look for trends as opposed to specific pieces of information. As you're analyzing your data, don't try to find patterns based on your assumptions prior to collecting the data. 

Sometimes, it’s important to write up a summary of the study, including the process that you followed, the results, conclusions, and what steps you recommend taking based on those results. Even if you don’t need a formal marketing research report, be sure that you review the study and results so that you can articulate the recommended course of action. Sharing the charts and data you collected is pointless if it doesn’t lead to action. Tools like HubSpot's free blog maker can help you publish the results in an easy way.

Was your hypothesis proven wrong? Great—that's why you do testing and don't run with assumptions when making decisions that could have a major impact on your organization. It’s always better to take the results as they are than to twist the data to prove yourself right.

5. Put Your Research into Action

Your research is complete. It's time to present your findings and take action. Start developing your inbound marketing strategies and campaigns. Put your findings to the test and get going! The biggest takeaway here is that, although this round of research is complete, it's not over.

The problems, business environment, and trends are constantly changing, which means that your research is never over. The trends you discovered through your research are evolving. You should be analyzing your data on a regular basis to see where you can improve. The more you know about your buyer personas, industry, and company, the more successful your marketing efforts and company will be. When you look at it that way, you should start to wonder why so many organizations don’t budget time and resources for marketing research. 

Of course, there is a lot more to the marketing research process than these five core steps, but these are enough to get you started. Good luck, and be sure to share any tips you have discovered for conducting marketing research!

Frequently Asked Questions 

Faq #1: how many steps are in the marketing research process, faq #2: what is the purpose of the five-step marketing research process, faq #3: what are the steps in the marketing research process, faq #4: what is the first step in the marketing research process, faq #5: what is the final step in the marketing research process, faq #6: why is the marketing research process important.

This post was originally published in June 2016 and has been updated since.

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About the author

Sandy Moore Sandy Moore is a Senior Director, Marketing Strategy at SmartBug Media. She has more than 20 years of experience in marketing with extensive knowledge in outbound and inbound marketing, advertising sales, promotions, public relations, and sales enablement. Read more articles by Sandy Moore .

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The Marketing Research Process in 7 Easy to Follow Steps

Rob Steffens | April 15, 2018 | 5 min read

When people talk about the marketing research process, they have a tendency to make it sound unbelievably complicated.

Sure, marketing research is research , and in research, details matter.

However, marketers have an advantage: We’re not looking for theoretical particles out in space.

Half of what we want to collect is customer opinions , which they’re glad to share if we know how to ask, and the other half is customer activity .

Today’s data analytics platform gives us oceans of activity to comb through. It might take time to figure out what to do with it all, but you don’t have to do a study: It just comes to you.

That’s quantitative research , e.g. “research involving measurable numbers and figures.”

What about the other type of research?

Data about opinions, feelings, or perceptions is collected through qualitative research and that’s what people are usually talking about when they think of a marketing research process.

To generate qualitative data, you have to gather a certain group of people before you and extract (ow!) that data from them, usually through something like an opinion survey or focus group.

The marketing research process gives you a framework to make sure you’re collecting useful, relevant data.

7 Steps to a Marketing Research Process That Works

Marketing research doesn’t have to be hard! Each step builds a solid foundation for the next.

Here’s how it goes:

Define the Question

Before you can research anything, you have to know what you want to know.

You might need to talk with others in sales, marketing, or product development to know what the core question is. That question depends on your business situation, and it also helps define the kind of person you want to get data from.

For example, you might be trying to learn, “How can we make our product more appealing to mothers aged 25-35?” If so, you already know the key demographics you’ll be working with.

Bear in mind, “the question” is not necessarily a question that will show up on the survey you’re creating – it works to inform any questions you ask or other data-gathering methods you use.

Set the Objective

Continuing the example, if you’ve got a product that’s underperforming, you’ve probably got some guesses as to why. In research, this kind of guess is called a hypothesis and you want to test whether each one is true or false as part of your research project.

Team members might suspect the product is too big or small, not easy enough to use, or any number of other things. Whatever the “best guesses” are, you can design your study to ensure you get useful information from real people, affirming or denying those guesses.

Collect Data to Inform Your Research Process

With your core question and objective ready, you can use your hypotheses to start building your study. In addition to whatever your teams come up with, you also want to gather information from your market and industry. This helps you cover all your bases.

Existing data is called secondary research . For example, secondary research might suggest customers in your target demographic prefer products of a certain color. If so, you might want to design your study to have your participants compare color options.

(Remember, this is simplified! If all secondary research was about color psychology , our jobs would be a whole lot easier!)

Your company might already have access to some of its own secondary research or you might need to peruse industry associations, publications, or other sources – this informs your primary research , that is, the new research you’re developing.

Clarify Your Sample

You have a strong idea what customer profile will provide the data you need. Now, it’s time to formalize that by finding a specific representative sample – enough study participants so you have a useful quantity of data.

A small sample size can play havoc with results, so it is often best to aim for something like 100 participants whenever your research focuses on consumer feedback.

To reach all those folks, you could mail customers who meet your demographic profile a paper survey to fill out, put up a survey online you could email them about, hold an in-person event, or any number of other options.

Why choose one over the other? These considerations come to mind:

• Convenience : Which method is fast enough?
• Cost-Effectiveness : Which method is cheap enough?
• Comprehensiveness : Which method gets as much of the data you want as possible?
• Clarity : Which method targets qualified participants and prevents unqualified ones?

Do Your Fieldwork

Once you have figured out how to get your hands on your data, you simply execute on that vision.

Congratulations: This is the part most people think of when they think of “doing research.”

Exactly what fieldwork will look like and how much time you should allocate depends on the situation, of course. For a focus group, it might all happen in a day. A survey might be active for six weeks. Test marketing, also a form of research, might stretch across multiple quarters.

Data Analysis

Depending on how you performed your fieldwork, analysis could be easy (“how many people preferred blue over red?”) or difficult (“What were participants’ main complaints?”)

Asking hard questions can be vital to getting the insights you want. Making sense of the answers won’t always be easy – but one way or another, you’re about to learn something new!

Report Your Results

Research doesn’t do much on its own – someone has to act on it. That means finding a way to distill down the actionable lessons and distribute them to people who can turn them into a day-to-day difference. That might mean anything from a memo to a major presentation.

Conducting your own marketing research process makes your enterprise smarter ... and goes a long way toward positioning as a true “ thought leader .”

It all has to be done carefully , but it doesn’t have to be complicated ... and in the end, being “in the know” is well worth the effort!

Rob Steffens

I am the Director of Marketing here at Bluleadz. I'm a huge baseball fan (Go Yankees!). I love spending time with friends and getting some exercise on the Racquetball court.

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Market Research Process: 6 Steps to Project Success

Market research is all about understanding your audience, but it also includes a deep dive into the broader market landscape, including trends affecting your industry and top competitors within your market. Market research is vital to bolstering marketing and sales efforts. But where do you begin?

What Is Market Research?

Market Research involves gathering data and information to help you identify your target audience, understand their wants and needs, and ultimately shape your messaging and offerings to fit the demands of your market.

The information you gather can include customer feedback about your current products, services, events, or other offerings; insights into your competitors; perception of your brand versus competitors; and more.

Once you’ve captured the right market research data, you can leverage it to make strategic decisions about your products or services, craft more targeted marketing and sales messaging, improve the customer experience, advance your company’s position within your market, and generally help guide business decisions within your company.

Benefits of Market Research

There are numerous benefits to implementing market research. With the right tactics, market research can:

• Help you identify your target audience and gain a deeper understanding of their needs
• Provide insights into current market trends and your top competitors
• Guide product development and identify new market opportunities
• Increase engagement, generate feedback, and build customer loyalty
• Improve marketing and sales channel tactics
• Help you identify business risks, challenges, and opportunities for growth
• Provide a framework for measuring KPIs and ROI
• Allow you to make data-driven, strategic decisions to grow your business

Marketing Research Process Examples

Market research is a critical step to help businesses make informed decisions about their products, services, and market positioning. No matter how large a company may be, there’s always room for improvement.

Take Apple, for instance. To understand why they were losing iPhone customers and Android sales were booming, Apple leveraged market research to determine why consumers decide to buy iPhones (or not).

Coca-Cola is another company that conducts market research to inform business decisions – sometimes to its own detriment. Based on a study in the 1980s, Coca-Cola decided they should completely alter the recipe for Coke and introduce “New Coke.” While the research seemed to support the decision, their market research strategy was flawed , leading to a pretty disastrous decline in sales.

Even the biggest and most competitive brands are looking for ways to grow their businesses, and sometimes, they get it wrong. To help ensure your market research is a success, follow the steps outlined below, and carefully consider how you’re building your study.

6 Steps of the Marketing Research Process

Ready to dive into market research? Follow this six-step process to help you get started, and check out these tips for creating a successful market research strategy.

1. Identify and Define the Problem

The market research process begins by identifying your research question or problem and defining your goals and objectives. Think of your research question as a SMART goal (specific, measurable, achievable, relevant, and time-bound) to help you dig deep.

2. Develop Your Research Approach

In this step, you’ll develop a plan for designing your study and collecting and analyzing your data. This involves:

• Establishing a budget
• Formulating hypotheses
• Evaluating external factors like the economy or environment
• Choosing your data collection methods, including surveys , interviews, focus groups, etc.
• Identifying a sample size and sampling technique
• Determining your methods for analyzing the data

3. Collect the Data

Data can be collected using online surveys, phone interviews, focus groups, or in-person one-on-one interviews. Designing a survey or questionnaire is considered the most important step in any research survey process. 

Question design takes a lot of thought and time. We like to say, " If you put garbage in, you'll get garbage out. " This means that if the questions are bad, the data will be bad as well. During the survey research design, keep in mind the sampling methods and data analysis factors you intend to use.

Don't forget to test your survey before to ensure you're fielding the correct data.  Thankfully, with the help of an online survey tool , this step is relatively painless.

4. Analyze the Data

Once you’ve collected the pertinent data, it’s time for analysis. Here, you should be able to leverage any online survey tools you’ve used to collect data to help you analyze it quickly. Analyzing your data requires looking for trends, patterns, and insights that can help you answer your research question.

5. Interpret Your Results

The results you generate during data analysis should be viewed from the lens of your research question and applied to your business. Based on your findings, you can draw conclusions about future business decisions, from product development to pricing strategies and marketing campaigns.

At this stage, you’ll use all the rich data you’ve collected to create a go-forward market strategy that’s ready to be shown to your broader teams.

6. Present Your Findings and Take Action

The final step in the market research process is to outline your research process to establish credibility, report your survey research findings, and present your recommendations and call to action based on these findings.

Ready to get started with your market research? Start your study off right with tools to help you collect and analyze your data !

Hope Salvatori

Hope is a Senior Content Marketing Associate who has been with Cvent for more than two years. She has 8 years of experience producing content for corporations, small businesses, associations, nonprofits, and universities. As a content professional, she has created content for a wide range of industries, including meetings and events, government and defense, education, health, and more.

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Module 13: Marketing Function

The marketing research process, learning outcomes.

• Explain the process and goal of market research
• Explain how market research helps marketers validate their target markets

Marketing research is a useful and necessary tool for helping marketers and an organization’s executive leadership make wise decisions. Carrying out marketing research can involve highly specialized skills that go deeper than the information outlined in this module. However, it’s important for any marketer to be familiar with the basic procedures and techniques of marketing research.

It’s very likely that at some point a marketing professional will need to supervise an internal marketing research activity or to work with an outside marketing research firm to conduct a research project. Managers who understand the research function can do a better job of framing the problem and critically appraising the proposals made by research specialists. They are also in a better position to evaluate their findings and recommendations.

Periodically marketers themselves need to find solutions to marketing problems without the assistance of marketing research specialists inside or outside the company. If you are familiar with the basic procedures of marketing research, you can supervise and even conduct a reasonably satisfactory search for the information needed.

Click on the image for a larger view.

Step 1: Identify the Problem

The first step for any marketing research activity is to clearly identify and define the problem you are trying to solve. You start by stating the marketing or business problem you need to address and for which you need additional information to figure out a solution. Next, articulate the objectives for the research: What do you want to understand by the time the research project is completed? What specific information, guidance, or recommendations need to come out of the research in order to make it a worthwhile investment of the organization’s time and money?

It’s important to share the problem definition and research objectives with other team members to get their input and further refine your understanding of the problem and what is needed to solve it. At times, the problem you really need to solve is not the same problem that appears on the surface. Collaborating with other stakeholders helps refine your understanding of the problem, focus your thinking, and prioritize what you hope to learn from the research. Prioritizing your objectives is particularly helpful if you don’t have the time or resources to investigate everything you want.

To flesh out your understanding of the problem, it’s useful to begin brainstorming actual research questions you want to explore. What are the questions you need to answer in order to get to the research outcomes? What is the missing information that marketing research will help you find? The goal at this stage is to generate a set of preliminary, big-picture questions that will frame your research inquiry. You will revisit these research questions later in the process, but when you’re getting started, this exercise helps clarify the scope of the project, whom you need to talk to, what information may already be available, and where to look for the information you don’t yet have.

Marketing Research for Bookends

Your uncle Dan owns an independent bookstore called Bookends, and it’s not doing very well. (That’s you in the picture.) The store’s sales are down, and the rent is going up. Dan has turned to you for help, since you know a thing or two about marketing.

You need a lot of information if you’re going to help your uncle turn things around, so marketing research is a good idea. You begin by identifying the problem and then work to set down your research objectives and initial research questions:

Step 2: Develop a Research Plan

Once you have a problem definition, research objectives, and a preliminary set of research questions, the next step is to develop a research plan. Essential to this plan is identifying precisely what information you need to answer your questions and achieve your objectives. Do you need to understand customer opinions about something? Are you looking for a clearer picture of customer needs and related behaviors? Do you need sales, spending, or revenue data? Do you need information about competitors’ products, or insight about what will make prospective customers notice you? When do you need the information, and what’s the time frame for getting it? What budget and resources are available?

Once you have clarified what kind of information you need and the timing and budget for your project, you can develop the research design. This details how you plan to collect and analyze the information you’re after. Some types of information are readily available through  secondary research and secondary data sources. Secondary research analyzes information that has already been collected for another purpose by a third party, such as a government agency, an industry association, or another company. Other types of information need to come from talking directly to customers about your research questions. This is known as primary research , which collects primary data captured expressly for your research inquiry.   Marketing research projects may include secondary research, primary research, or both.

Depending on your objectives and budget, sometimes a small-scale project will be enough to get the insight and direction you need. At other times, in order to reach the level of certainty or detail required, you may need larger-scale research involving participation from hundreds or even thousands of individual consumers. The research plan lays out the information your project will capture—both primary and secondary data—and describes what you will do with it to get the answers you need. (Note: You’ll learn more about data collection methods and when to use them later in this module.)

Your data collection plan goes hand in hand with your analysis plan. Different types of analysis yield different types of results. The analysis plan should match the type of data you are collecting, as well as the outcomes your project is seeking and the resources at your disposal. Simpler research designs tend to require simpler analysis techniques. More complex research designs can yield powerful results, such as understanding causality and trade-offs in customer perceptions. However, these more sophisticated designs can require more time and money to execute effectively, both in terms of data collection and analytical expertise.

The research plan also specifies who will conduct the research activities, including data collection, analysis, interpretation, and reporting on results. At times a singlehanded marketing manager or research specialist runs the entire research project. At other times, a company may contract with a marketing research analyst or consulting firm to conduct the research. In this situation, the marketing manager provides supervisory oversight to ensure the research delivers on expectations.

Finally, the research plan indicates who will interpret the research findings and how the findings will be reported. This part of the research plan should consider the internal audience(s) for the research and what reporting format will be most helpful. Often, senior executives are primary stakeholders, and they’re anxious for marketing research to inform and validate their choices. When this is the case, getting their buy-in on the research plan is recommended to make sure that they are comfortable with the approach and receptive to the potential findings.

A Bookends Research Plan

You talk over the results of your problem identification work with Dan. He thinks you’re on the right track and wants to know what’s next. You explain that the next step is to put together a detailed plan for getting answers to the research questions.

Dan is enthusiastic, but he’s also short on money. You realize that such a financial constraint will limit what’s possible, but with Dan’s help you can do something worthwhile. Below is the research plan you sketch out:

Step 3: Conduct the Research

Conducting research can be a fun and exciting part of the marketing research process. After struggling with the gaps in your knowledge of market dynamics—which led you to embark on a marketing research project in the first place—now things are about to change. Conducting research begins to generate information that helps answer your urgent marketing questions.

Typically data collection begins by reviewing any existing research and data that provide some information or insight about the problem. As a rule, this is secondary research. Prior research projects, internal data analyses, industry reports, customer-satisfaction survey results, and other information sources may be worthwhile to review. Even though these resources may not answer your research questions fully, they may further illuminate the problem you are trying to solve. Secondary research and data sources are nearly always cheaper than capturing new information on your own. Your marketing research project should benefit from prior work wherever possible.

After getting everything you can from secondary research, it’s time to shift attention to primary research, if this is part of your research plan. Primary research involves asking questions and then listening to and/or observing the behavior of the target audience you are studying. In order to generate reliable, accurate results, it is important to use proper scientific methods for primary research data collection and analysis. This includes identifying the right individuals and number of people to talk to, using carefully worded surveys or interview scripts, and capturing data accurately.

Without proper techniques, you may inadvertently get bad data or discover bias in the responses that distorts the results and points you in the wrong direction. The module on Marketing Research Techniques discusses these issues in further detail, since the procedures for getting reliable data vary by research method.

Getting the Data on Bookends

Dan is on board with the research plan, and he’s excited to dig into the project. You start with secondary data, getting a dump of Dan’s sales data from the past two years, along with related information: customer name, zip code, frequency of purchase, gender, date of purchase, and discounts/promotions (if any).

You visit the U.S. Census Bureau Web site to download demographic data about your metro area. The data show all zip codes in the area, along with population size, gender breakdown, age ranges, income, and education levels.

The next part of the project is customer-survey data. You work with Dan to put together a short survey about customer attitudes toward Bookends, how often and why they come, where else they spend money on books and entertainment, and why they go other places besides Bookends. Dan comes up with the great idea of offering a 5 percent discount coupon to anyone who completes the survey. Although it eats into his profits, this scheme gets more people to complete the survey and buy books, so it’s worth it.

Step 4: Analyze and Report Findings

Analyzing the data obtained in a market survey involves transforming the primary and/or secondary data into useful information and insights that answer the research questions. This information is condensed into a format to be used by managers—usually a presentation or detailed report.

Analysis starts with formatting, cleaning, and editing the data to make sure that it’s suitable for whatever analytical techniques are being used. Next, data are tabulated to show what’s happening: What do customers actually think? What’s happening with purchasing or other behaviors? How do revenue figures actually add up? Whatever the research questions, the analysis takes source data and applies analytical techniques to provide a clearer picture of what’s going on. This process may involve simple or sophisticated techniques, depending on the research outcomes required. Common analytical techniques include regression analysis to determine correlations between factors; conjoint analysis to determine trade-offs and priorities; predictive modeling to anticipate patterns and causality; and analysis of unstructured data such as Internet search terms or social media posts to provide context and meaning around what people say and do.

Good analysis is important because the interpretation of research data—the “so what?” factor—depends on it. The analysis combs through data to paint a picture of what’s going on. The interpretation goes further to explain what the research data mean and make recommendations about what managers need to know and do based on the research results. For example, what is the short list of key findings and takeaways that managers should remember from the research? What are the market segments you’ve identified, and which ones should you target?  What are the primary reasons your customers choose your competitor’s product over yours, and what does this mean for future improvements to your product?

Individuals with a good working knowledge of the business should be involved in interpreting the data because they are in the best position to identify significant insights and make recommendations from the research findings. Marketing research reports incorporate both analysis and interpretation of data to address the project objectives.

The final report for a marketing research project may be in written form or slide-presentation format, depending on organizational culture and management preferences. Often a slide presentation is the preferred format for initially sharing research results with internal stakeholders. Particularly for large, complex projects, a written report may be a better format for discussing detailed findings and nuances in the data, which managers can study and reference in the future.

Analysis and Insights for Bookends: Target market validation

Getting the data was a bit of a hassle, but now you’ve got it, and you’re excited to see what it reveals. Your statistician cousin, Marina, turns out to be a whiz with both the sales data and the census data. She identified several demographic profiles in the metro area that looked a lot like lifestyle segments. Then she mapped Bookends’ sales data into those segments to show who is and isn’t visiting Bookends. After matching customer-survey data to the sales data, she broke down the segments further based on their spending levels and reasons they visit Bookends.

Gradually a clearer picture of Bookends’ customers is beginning to emerge: who they are, why they come, why they don’t come, and what role Bookends plays in their lives. Right away, a couple of higher-priority segments—based on their spending levels, proximity, and loyalty to Bookends—stand out. The research has succeeded in segmenting the market into manageable targets. You and your uncle are definitely seeing some possibilities for making the bookstore a more prominent part of their lives. You capture these insights as “recommendations to be considered” while you evaluate the right marketing mix for each of the new segments you have now validated.

Step 5: Take Action

Once the report is complete, the presentation is delivered, and the recommendations are made, the marketing research project is over, right? Wrong.

What comes next is arguably the most important step of all: taking action based on your research results.

If your project has done a good job interpreting the findings and translating them into recommendations for the marketing team and other areas of the business, this step may seem relatively straightforward. When the research results validate a path the organization is already on, the “take action” step can galvanize the team to move further and faster in that same direction.

Things are not so simple when the research results indicate a new direction or a significant shift is advisable. In these cases, it’s worthwhile to spend time helping managers understand the research, explain why it is wise to shift course, and explain how the business will benefit from the new path. As with any important business decision, managers must think deeply about the new approach and carefully map strategies, tactics, and available resources to plan effectively. By making the results available and accessible to managers and their execution teams, the marketing research project can serve as an ongoing guide and touchstone to help the organization plan, execute, and adjust course as it works toward desired goals and outcomes.

It is worth mentioning that many marketing research projects are never translated into management action. Sometimes this is because the report is too technical and difficult to understand. In other cases, the research conclusions fail to provide useful insights or solutions to the problem, or the report writer fails to offer specific suggestions for translating the research findings into management strategy. These pitfalls can be avoided by paying due attention to the research objectives throughout the project and allocating sufficient time and resources to do a good job interpreting research results for those who will need to act on them.

Bookends’ New Customer Campaign

Your research findings and recommendations identified three segments for Bookends to focus on. Based on the demographics, lifestyle, and spending patterns found during your marketing research, you’re able to name them: 1) Bored Empty-Nesters, 2) Busy Families, and 3) Hipster Wannabes. Dan has a decent-sized clientele across all three groups, and they are pretty good spenders when they come in. But until now he hasn’t done much to purposely attract any of them.

With newly identified segments in focus, you and Dan begin brainstorming about a marketing mix to target each group. What types of books and other products would appeal to each one? What activities or events would bring them into the store? Are there promotions or particular messages that would induce them to buy at Bookends instead of Amazon or another bookseller? How will Dan reach and communicate with each group? And what can you do to bring more new customers into the store within these target groups?

Even though Bookends is a real-life project with serious consequences for your uncle Dan, it’s also a fun laboratory where you can test out some of the principles you’re learning in your marketing class. You’re figuring out quickly what it’s like to be a marketer.

Well done, rookie!

Practice Questions

• Revision and Adaptation. Authored by : Lumen Learning. License : CC BY: Attribution
• Practice Questions. Authored by : Robert Danielson. Provided by : Lumen Learning. License : CC BY: Attribution
• Chapter 3: Marketing Research: An Aid to Decision Making, from Introducing Marketing. Authored by : John Burnett. Provided by : Global Text. Located at : http://solr.bccampus.ca:8001/bcc/file/ddbe3343-9796-4801-a0cb-7af7b02e3191/1/Core%20Concepts%20of%20Marketing.pdf . License : CC BY: Attribution
• Urban life (Version 2.0). Authored by : Ian D. Keating. Located at : https://www.flickr.com/photos/ian-arlett/19313315520/ . License : CC BY: Attribution

Marketing Research Process: 5,6,7 and 11 Steps (with Examples)

Compilation of answers we got on the process of marketing research (with examples)! This will further help you to learn about:- 1. Marketing Research Process 5 Steps 2. Marketing Research Process 3. Marketing Research Process 7 Steps 4. Marketing Research Process Steps. Also learn about:- 1. Data Collection in Marketing Research 2. Sampling in Research 3. Data Analysis in Marketing Research.

Marketing Research Process: 5,6,7 and 11 Steps (with suitable examples)

Answer 1. marketing research process 5 steps :.

The marketers follow a systematic and formalized process of marketing research to obtain the accurate market information.

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Following points discuss the process of marketing research in brief:

Marketing Research Process # 1. Defining a Problem:

It refers to identify a problem faced by, the organization. The problem should be clearly defined and the reason for research should also be spelt out.

Marketing Research Process # 2. Designing Research:

It refers to formulate objectives, hypotheses, and questions for the research. This step requires a lot of time and great expertise. The design of the research includes analysis of secondary data, qualitative and quantitative research, management discussions, and experts’ opinions. Research design is a blueprint to conduct marketing research. It provides the details of procedures required to obtain necessary information of the market.

Marketing Research Process # 3. Collecting Data:

Collecting data, gather the field information that can be obtained by conducting computer-assisted, in- home, and telephonic interviews with customers. The other ways to gather field information are traditional mails and mail panel surveys.

There are two types of data sources- primary and secondary. Primary data is new research conducted by an individual through surveys and interviews; whereas, secondary data is accumulated from the used data reports, books, and other existing documents.’

Marketing Research Process # 4. Interpreting Research Findings:

It refers to the process of editing, coding, and verifying data. The survey forms are inspected, edited, and corrected by market researchers. The data gathered through questionnaire and interviews is transcribed to input devices, such as magnetic tape.

Marketing Research Process # 5. Reporting Research Findings:

It refers to formulating a written report that describes all the processes used in the marketing research. The main findings, conclusion, and recommendations are presented comprehensibly in the report that can be readily used in the decision-making process.

Answer 2. Marketing Research Process: (with steps)

The marketing research process consists of a series of activities- defining the issue or problem to be studied, examining secondary data, generating primary data (if necessary), analyzing information, making recommendations, and implementing findings.

Marketing Research Process # Step 1 – Problem Defining:

Problem definition is a statement of the topic to be looked into. For every marketing research, there must be a problem to solve.

Depending on the nature of market problem marketing research can be classified into different categories like:

(a) Exploratory Research:

Its goal is to identify the problem and to suggest possible solutions or new ideas. It is undertaken when the researcher is uncertain about the precise topic to investigate or wants to informally study an issue. It is also known as qualitative research and may involve in-depth inquiring.

(b) Descriptive Research:

Descriptive research involves determining certain magnitudes.

(c) Conclusive Research:

Also called quantitative research, is used after the problem definition is clarified. It is the structured collection and analysis of data pertaining to a specific issue or problem.

The management must translate the decision problem faced by them into a market research problem in the form of questions that define the information that is required to make the decision and how this information can be obtained. Thus, the decision problem is translated into a research problem. For example, a decision problem may be whether to launch a new product.

The corresponding research problem might be to assess whether the market would accept the new product. The objective of the research should be defined clearly. To ensure that the true decision problem is addressed, it is useful for the researcher to outline possible scenarios of the research results and then for the decision maker to formulate plans of action under each scenario. The use of such scenarios can ensure that the purpose of the research is agreed upon before it commences.

Marketing Research Process # Step 2 – Develop the Research Plan:

The second stage of marketing research calls for developing the most efficient plan for gathering the needed information. The marketing manager needs to know the cost of the research plan before approving it. It involves decision on several objects like data sources, research approaches, research instruments, sampling plan, and contact methods.

Data Sources:

The researcher can gather secondary data, primary data, or both.

Primary data are data gathered for a specific purpose or for a specific research project by some organization or research agency. Primary data is collected on the basis of research objectives. The Internet is now the greatest depository of information. Primary data consist of information gathered to address a specific issue or problem at hand. They are necessary if secondary data are insufficient for a proper marketing decision to be made.

Advantages and Disadvantages:

(a) Primary data have these general advantages:

(i) Secrecy

(ii) Precision

(iii) Currency

(iv) Reliability determined

(v) Controlled and known methodology

(vi) No conflicting data

(vii) Only way to acquire information in some cases.

(b) Primary data have these general disadvantages:

(i) High costs

(ii) Time consuming

(iii) Company limitations

(iv) Inability to gather certain types of information

(v) Limited perspective.

Secondary data are data that were collected for another purpose and already exist somewhere. When the needed data do not exist or are outdated, inaccurate, incomplete, or unreliable, the researcher will have to collect primary data. These data should always be reviewed before primary data collection.

(a) Secondary data have these general advantages:

(i) Source credibility

(ii) Low costs

(iii) Access to hard-to-obtain data

(v) Helpful for exploratory research

(vi) Diverse sources.

(b) Secondary data have these general disadvantages:

(i) Undisclosed findings

(ii) Lack of suitability

(iii) Unknown methodology

(iv) Obsolescence

(v) Conflicting results

(vi) Unknown reliability.

Sources of Secondary Data:

a. Internal Secondary Data:

These data are available within the company. They include budgets, sales figures, profit-and-loss statements, inventory records, prior research reports, and written reports.

b. External Secondary Data:

These data are available from sources outside the company.

They may be obtained from government and non-government sources like:

(i) News papers

(ii) Journals

(iii) Project reports

(iv) Annual reports of companies

(v) Annual reports of government departments

(vi) Reports of Research agencies

(vii) Web portals of organizations

(viii) Books and Magazines.

Marketing Research Process # Step 3 –  Collection of Data:

The data collection phase of marketing research is generally the most expensive and the most prone to error. It requires expert investigators having knowledge about market and research.

Research Design:

A research design is the blueprint of research to be conducted by the researcher. It outlines the procedures and techniques for collecting and analyzing data.

Marketing Research Process # Step 4 – Data Analysis Process:

In this step, the researcher is required to extract findings from the collected data. The researcher tabulates the data and develops frequency distributions. Averages and measures of dispersion are computed for the major variables. The researcher may also apply some advanced statistical techniques and decision models in the hope of discovering additional findings. Data can be processed by the help of computer software. Different statistical tools can be applied according to the nature of data.

Data analysis Process consists of the following steps:

It is the process by which each completed data form is numbered and response categories are labeled.

ii. Tabulation:

It is the calculation of summary data for each response category.

iii. Analysis:

It is the evaluation of responses as they pertain to the specific issue or problem under investigation.

Marketing Research Process # Step 5 – Presentation of the Findings:

In the last step, information generated by the processing of data is presented in form of report. The researcher should present major findings in a lucid manner so that it is easy to understand by different level of people in organization. Based on marketing research, findings the recommendations are suggestions for a firm’s future actions.

Answer 3. The Market Research Process:

The four steps of the market research process are:

(i) Definition of the marketing problem.

(ii) Development of the research plan.

(iii) Implementation of the research plan.

(iv) Interpretation and reporting of the research findings.

The market research process is directed and managed by the marketing manager and the research manager. Its success lies in a clear statement of purpose. Both parties need to work closely together to define the marketing problem and to set the research objectives. This initial step is usually the hardest part of the market research process and requires a degree of understanding on the part of the marketer of the researcher’s job and vice versa.

Having established and agreed the research goals, the researcher is charged with drawing up the research plan. This outlines the sources of data (whether existing data will be used or new data will be required), research approaches, contact methods, sampling and research instruments, timetable, and costs. The written research plan can be discussed and further refined prior to its formal adoption.

The researcher then implements the plan, using external data collection agencies where necessary. (It is unusual for an organization to hold all the requisite information resources in-house.) Data collection is generally the most expensive part of the research process and also the part most subject to error.

Once collected, the data is processed and analyzed. Finally, the researcher returns to the marketing manager with an interpretation and report of the research findings. This usually comprises a written report, although advances in software design, such as those offered by Memphis Survey Explorer or Pulsar, mean that results can now be presented in a user-friendly fashion on­screen.

Interpretation is all about the researcher elucidating the findings to provide the marketer with a view on what the research results mean, rather than an outline of what the respondents actually said.

The research findings are then fed into the process of strategy formulation, as the resultant implications will have an impact on current activities and resource allocation.

Answer 4. Marketing Research Process: (6 Steps)

Marketing research process is a set of six steps which defines the tasks to be accomplished in conducting a marketing research study. These include problem definition, developing an approach to problem, research design formulation, field work, data preparation and analysis, and report generation and presentation.

To conduct market research, organisations may decide to undertake the project themselves (some through a marketing research department) or they might choose to commission it via a market research agency or consultancy. Whichever, before undertaking any research project, it is crucial to define the research objectives, i.e., what are you trying to achieve from the research? And what do you need to know?

After considering the objectives, Market Researchers can utilise many types of research techniques and methodologies to capture the data that they require. All of the available methodologies either collect quantitative or qualitative information. The use of each very much depends on the research objectives but many believe that results are most useful when the two methods are combined.

Marketing Research Process can also be stated in the following way:

While there are dozens of little steps along the path, each fits into one of the six steps in the marketing research process.

The main steps in marketing research are:

Step 1 – Identifying and defining your problem

Step 2 – Developing your approach

Step 3 – Research design

Step 4 – Collecting the data

Step 5 – Performing data analysis

Step 6 – Reporting and presentation

Marketing Research Process # Step 1 – Identifying and Defining Your Problem :

The first step in any marketing research project is to define the problem. In defining the problem, the researcher should take into account the purpose of the study, the relevant background information, what information is needed, and how it will be used in decision making.

Problem definition involves discussion with the decision makers, interviews with industry experts, analysis of secondary data, and, perhaps, some qualitative research, such as focus groups. Once the problem has been precisely defined, the research can be designed and conducted properly.

The first basic step is to define the marketing problem in specific terms. Only if the marketing researcher knows what problem management is trying to solve, he cannot do an effective job in planning and designing a research project that will provide the needed information.

After the problem has been defined, the researcher’s task is to learn as much about it as the time permits. This involves getting acquainted with the company, its business, its products and market environment, advertising by means of library consultation and extensive interviewing of company’s officials.

The researcher tries to get a “feel” of the situation surrounding the problem. He analysis the company, its markets, its competition and the industry in general. This phase of preliminary exploration is known as situation analysis.

This analysis enables the researcher to arrive at a hypothesis or a tentative presumption in the basis of which further investigations may be done.

When a problem has been identified, objectives of the research have to be determined. The objectives of the project may be to determine exactly what the problem is and how it can be solved.

If you are considering conducting marketing research, chances are you have already identified a problem and an ensuing informational need. Of the six steps in marketing research, this is always the first one. Your problem or issue will likely be recognized by one or more levels of management. Sometimes, further definition of the problem or issue is needed, and for that there are several tools you can use.

The researcher should then determine the specific information needed to solve the research problems. For successful operation of production and sales departments, what information is required depends to a large extent on the nature of goods and the method used for placing it in the hands of the consumers.

The investigator must identify the sources from which the different items of information are obtainable and select those that he will use. He may collect information through primary data, secondary data or both.

Primary data are those which are gathered specifically for the project at hand, directly, e.g., through questionnaires and interviews. Primary data sources include: Company salesman, middlemen, consumers, buyers, trade associations executives, and other businessmen and even competitors.

Secondary data are generally published sources, which have been collected originally for some other purpose. They are not gathered specifically to achieve the objectives of the particular research project at hand, but are already assembled.

Such sources are internal company records; government publications; reports and journals, trade, professional and business associations publications and reports, private business firms’, firms’ records, advertising media. University research organizations, and libraries.

The decision problem faced by management must be translated into a market research problem in the form of questions that define the information that is required to make the decision and how this information can be obtained.

Thus, the decision problem is translated into a research problem. For example- a decision problem may be whether to launch a new product. The corresponding research problem might be to assess whether the market would accept the new product.

The objective of the research should be defined clearly. To ensure that the true decision problem is addressed, it is useful for the researcher to outline possible scenarios of the research results and then for the decision maker to formulate plans of action under each scenario. The use of such scenarios can ensure that the purpose of the research is agreed upon before it commences.

Marketing Research Process # Step 2 – Developing Your Approach :

Development of an approach to the problem includes formulating an objective or theoretical framework, analytical models, research questions, hypotheses, and identifying characteristics or factors that can influence the research design.

This process is guided by discussions with management and industry experts, case studies and simulations, analysis of secondary data, qualitative research and pragmatic considerations.

Once your problem is better defined, you can move onto developing your approach. Generally speaking, your approach should be developed almost exclusively around a defined set of objectives. Clearer objectives developed in Step 1 will lend themselves to better approach development.

Developing your approach should consist of an honest assessment of your team’s market research skills, establishing a budget, understanding your environment and its influencing factors, developing an analysis model, and formulating hypotheses.

If it is found that the secondary data cannot be of much use, collection of primary data becomes necessary.

Three widely used methods of gathering primary data are:

(ii) Observation, and

(iii) Experimentation

Which method is to be used will depend upon the objectives, cost, time personnel and facilities available.

(i) Survey Method:

In this method, information is gathered directly from individual respondents, either through personal interviews or through mail, questionnaires or telephone interviews. The questions are used either to obtain specific responses to direct questions or to secure more general response to “open end” questions.

(ii) Observational Method:

The research data are not gathered through direct questioning of respondents but rather by observing and recording their actions of respondents but rather by observing and recording their actions in a marketing situation. The customer is unaware that he/she is being observed, so presumably he/she acts in his/her usual fashion. Information may be gathered by personal or mechanical observation.

This technique is useful in getting information about the caliber of the salesman or in determining what brands he pushes. In another situation, a customer may be watched at a distance and noticed, what motivates him to purchase.

(iii) Experimental Method:

This method involves carrying out a small-scale trial solution to a problem, while, at the same time, attempting to control all factors relevant to the problems. The main assumption here is that the test conditions are essentially the same as those that will be encountered later when conclusions derived from the experiment are applied to a broader marketing area.

The technique consists of establishing a control market in which all factors remain constant and one or more test markets in which one factor is varied.

Marketing Research Process # Step 3 – Research Design :

A research design is a framework or blueprint for conducting the marketing research project. It details the procedures necessary for obtaining the required information, and its purpose is to design a study that will test the hypotheses of interest, determine possible answers to the research questions, and provide the information needed for decision making.

Conducting exploratory research, precisely defining the variables, and designing appropriate scales to measure them are also a part of the research design. The issue of how the data should be obtained from the respondents (For example- by conducting a survey or an experiment) must be addressed. It is also necessary to design a questionnaire and a sampling plan to select respondents for the study.

More formally, formulating the research design involves the following steps:

i. Secondary data analysis

ii. Qualitative research

iii. Methods of collecting quantitative data (survey, observation, and experimentation)

iv. Definition of the information needed

v. Measurement and scaling procedures

vi. Questionnaire design

vii. Sampling process and sample size

viii. Plan of data analysis.

Based upon a well-defined approach from Steps 1 and 2, a framework for the designing your marketing research program should be apparent. This step is the most encompassing of all steps in marketing research, requiring the greatest amount of thought, time and expertise and is the point at which the less experienced will obtain assistance from an internal/external market research experts.

Since the intelligence eventually gained from the research is so closely related to the selected research design, this is the single most important six steps in marketing research, and the step most vulnerable to the typical research errors.

Research design includes incorporating knowledge from secondary information analysis, qualitative research, methodology selection, question measurement and scale selection, questionnaire design, sample design and size and determining data analysis to be used.

Marketing research can classified in one of three categories:

i. Exploratory research

ii. Descriptive research

iii. Causal research.

These classifications are made according to the objective of the research. In some cases the research will fall into one of these categories, but in other cases different phases of the same research project will fall into different categories.

i. Exploratory research has the goal of formulating problems more precisely, clarifying concepts, gathering explanations, gaining insight, eliminating impractical ideas, and forming hypotheses. Exploratory research can be performed using a literature search, surveying certain people about their experiences, focus groups, and case studies.

When surveying people, exploratory research studies would not try to acquire a representative sample, but rather, seek to interview those who are knowledgeable and who might be able to provide insight concerning the relationship among variables.

Case studies can include contrasting situations or benchmarking against an organization known for its excellence. Exploratory research may develop hypotheses, but it does not seek to test them. Exploratory research is characterized by its flexibility.

ii. Descriptive research is more rigid than exploratory research and seeks to describe users of a product, determine the proportion of the population that uses a product, or predict future demand for a product.

As opposed to exploratory research, descriptive research should define questions, people surveyed, and the method of analysis prior to beginning data collection. In other words, the who, what, where, when, why, and how aspects of the research should be defined. Such preparation allows one the opportunity to make any required changes before the costly process of data collection has begun.

There are two basic types of descriptive research- longitudinal studies and cross- sectional studies. Longitudinal studies are time series analyses that make repeated measurements of the same individuals, thus allowing one to monitor behavior such as brand-switching.

However, longitudinal studies are not necessarily representative since many people may refuse to participate because of the commitment required. Cross-sectional studies sample the population to make measurements at a specific point in time.

A special type of cross-sectional analysis is a cohort analysis, which tracks an aggregate of individuals who experience the same event within the same time interval over time. Cohort analyses are useful for long-term forecasting of product demand.

iii. Causal research seeks to find cause and effect relationships between variables. It accomplishes this goal through laboratory and field experiments.

Marketing Research Process # Step 4 – Collecting the Data :

Data collection involves a field force or staff that operates either in the field, as in the case of personal interviewing (in-home, mall intercept, or computer-assisted personal interviewing), from an office by telephone (telephone or computer-assisted telephone interviewing), or through mail (traditional mail and mail panel surveys with pre-recruited households). Proper selection, training, supervision, and evaluation of the field force helps minimize data-collection errors.

Often called data collection or survey fielding, this is the point at which the finalized questionnaire (survey instrument) is used in gathering information among the chosen sample segments. There are a variety of data collection methodologies to consider.

Marketing Research Process # Step 5 – Performing Data Analysis :

After the necessary data been collected, they are tabulated and analyzed with appropriate statistical techniques to draw conclusions and findings. This stage is regarded as the end product.

Data preparation includes the editing, coding, transcription, and verification of data. Each questionnaire or observation form is inspected, or edited, and, if necessary, corrected. Number or letter codes are assigned to represent each response to each question in the questionnaire.

The data from the questionnaires are transcribed or key-punched on to magnetic tape, or disks or input directly into the computer. Verification ensures that the data from the original questionnaires have been accurately transcribed, while data analysis, guided by the plan of data analysis, gives meaning to the data that have been collected.

Univariate techniques are used for analyzing data when there is a single measurement of each element or unit in the sample, or, if there are several measurements of each element, each RCH variable is analyzed in isolation. On the other hand, multivariate techniques are used for analyzing data when there are two or more measurements on each element and the variables are analyzed simultaneously.

All analysis that can be performed, from complex to simple, depends on how the questionnaire was constructed. Less complex analysis on smaller data sets can be handled with any of a number of office suite tools, while more complex analysis and larger data sets require dedicated market research analysis software.

Types of analysis that might be performed are simple frequency distributions, cross tab analysis, multiple regression (driver analysis), cluster analysis, factor analysis, perceptual mapping (multidimensional scaling), structural equation modeling and data mining.

Marketing Research Process # Step 6 – Reporting and Presentation :

Reporting and presentation, if not the most important of the steps in marketing research, is easily the second behind research design. All business critical information and knowledge that comes from your market research investment are limited by how they are presented to decision makers. There are as many reporting styles as there are research reports, but some are definitely better than others.

The conclusions and recommendations, supported by a detailed analysis of the findings should be submitted in a written report. The report should be written in clear language, properly paragraphed, and should present the facts and findings with necessary evidence.

The choice of the words, adequate emphasis, correct statistical presentation, avoidance of flowery language and ability to express ideas directly and simply in an organized framework are essential for a good report.

The entire project should be documented in a written report which addresses the specific research questions identified, describes the approach, the research design, data collection, and data analysis procedures adopted, and presents the results and the major findings.

The findings should be presented in a comprehensible format so that they can be readily used in the decision making process. In addition, an oral presentation should be made to management using tables, figures, and graphs to enhance clarity and impact.

For these reasons, interviews with experts are more useful in conducting marketing research for industrial firms and for products of a technical nature, where it is relatively easy to identify and approach the experts. This method is also helpful in situations where little information is available from other sources, as in the case of radically new products.

Primary data are obtained by a study specifically designed to fulfill the data needs of the problem at hand. Such data are original in character and are generated in large number of surveys conducted mostly by Government and also by some individual, institutions and research bodies. For example- data obtained in a population census by the Office of the Registrar General, Census Commissioner, Ministry of Home Affairs, are primary data.

Data which are not originally collected but rather obtained from published or unpublished sources are known as secondary data. For example- for the Office of the Registrar General and Census Commissioner, the census data are primary whereas for all others, who use such data, they are secondary.

The secondary data constitute the chief material on the basis of which statistical work is carried out in many investigations. In fact, before collecting primary data it is desirable that one should go through the existing literature and learn what is already known of the general area in which the specification problem falls and any and all surrounding information that may give us leads and lessons.

This can help in getting an idea about the possible pitfalls, avoiding duplication of efforts and waste of resources. It should be noted that it is the process of assembling primary data which is called ‘collection’ of statistics and is different from the process of ‘compiling’ statistics (i.e., secondary data) from various published sources.

To quote Crum, Patton and Tebbutt, Collection means the assembling, for the purpose of particular investigation of entirely new data, presumably not already available in published sources.

Primary data collection is possible through various methods.

The following methods are popular for marketing research projects for collecting primary data:

1. Interview Method:

(a) Depth Interviews

(b) Mail Interviews

(c) Telephone Interviews.

2. Delphi Technique

3. Projective Techniques

4. Focus Group Interview

5. Questionnaire Method:

(a) Structured non-disguised questionnaire

(b) Non-structured non-disguised questionnaire

(c) Indirect questionnaire

(d) Structured disguised questionnaire.

Answer 5. Marketing Research Process 7 Steps:

Marketing Research requires the application of the systems-approach to the task of collecting, organising, analysing and interpreting desired marketing information. This means that each step in the research process must be carefully planned, effectively coordinated with all other related steps so that all the steps are properly integrated and executed as specified at the proper time and in the desired sequence.

Each important division or segment of the process of investigation and analysis plays a vital role in the efforts of the research team to achieve the stated goals.

Marketing researcher is directly concerned with all three operations- input, process, and output. Input is usually data, i.e., facts and figures and values, often quantified. The collected data is processed by researchers. In data processing, we have the operations of editing, classification, and analysis, and output is the result of processing. It is in the form of information. Information is power. It is critical to successful marketing operations as intelligence is to warfare.

There are a number of characteristics of good output, i.e., good information-

(1) It should be timely,

(2) It should be current or up-to-date,

(3) It should be accurate,

(4) It should be sufficient,

(5) It should be relevant or necessary for decisions,

(6) It should be reliable,

(7) It should be economical,

(8) It should be understandable and acceptable to marketing executives in charge of decision-making and solving marketing problems,

(9) It should be usable without further modification,

(10) Output should not be data but information (knowledge derived from the analysis of data).

Information is the processed data in the form of interpretations, inferences and conclusions, which can act as the basis for sound and prompt decisions. Please remember that marketing research is actively associated in the rational decision-making process. It is an important component of Marketing Information System.

Marketing Research process provides information not data to marketing executives. Marketing decisions are based on information, not on data.

Marketing research process involves the following seven steps in proper sequence:

(1) Situation analysis,

(2) Preliminary investigation,

(3) Research design,

(4) Sources of data,

(5) Data analysis,

(6) Report preparation, and

(7) Follow-up recommendations.

Marketing Research Process # 1. Situation Analysis:

Define and analyse the marketing problem to be solved. Determine clearly the purpose of inquiry. State the immediate as well as ultimate objectives. Try to secure information about the firm, its products, the industry, the market, competitors, advertising, and the general environment around the firm. You should have familiarity of the situation surrounding the problem. Personal interviews, company records, library material, and trade papers are the sources for situation analysis.

Marketing Research Process # 2. Preliminary Investigation:

It is an investigation to secure minimum acquaintance or feel for the problem. The researcher may meet consumers, dealers, marketing executives, competitors to get background information, which can throw some light on the most critical issues for study and investigation.

Such an informal exploration may determine the need and justification of further formal investigation. The exploratory study or preliminary investigation may offer the solution to a problem. But if the solution is not evident or the risks involved are considerable, we may have to undertake the formal or conclusive research to secure valid and reliable conclusions. The formal investigation project must be economically feasible.

Marketing Research Process # 3. Research Design:

A research design is a master-plan or model for the conduct of formal investigation. Once the formal investigation is decided, the researcher must formulate the formal plan of investigation. A research design is the specification of methods and procedures for acquiring the information needed for solving the problem.

The formal investigation plan will concentrate on the selection of sources of information and the selection of methods and procedures for gathering data. Data gathering forms are prepared. Questionnaires and other forms are tested. Samples for investigational are planned.

Marketing Research Process # 4. Sources of Marketing Data:

Once the research design or plan is finalised, the researcher will embark upon the task of collecting the data. A research study may require both primary and secondary data. Primary data must be assembled by the researcher for the first time. Secondary data is already available for processing.

Primary data is gathered through the use of sampling. Primary data can be collected through a number of methods such as survey, experimental method or observation method.

Marketing Research Process # 5. Information Analysis:

Collected data must be edited, tabulated, and analysed. The research team makes interpretation of the data. Conclusions and interpretations lead to recommendation for action. Electronic data processing equipment can be employed for analysing large data quickly and at a lower cost.

After data collection, the research worker has to look after processing of data. Processing includes preliminary screening of data, editing, coding, classification and tabulating of data. Preliminary screening is done to verify the accuracy and completeness of data. Editing is done to eliminate errors in the raw data. Coding simplifies and speeds up the work of tabulate of data.

For example, the letter “M” for male and “F” for female can be used as symbols and numbers like 1, 2, and 3 as code numbers. Classification involves grouping of data on the basis of well-defined characteristics such as state, district, territory or attributes .Tabulation is orderly grouping of data in rows and columns for easy comparison and cross-checking.

In analysis, the data is arranged in a systematic manner for interpretation purpose. Field raw data has to be analysed using statistical tools. Interpretation of data is required to arrive at meaningful findings and probable solutions.

Marketing Research Process # 6. Report Preparation:

Conclusions and recommendations supported by necessary analysis are submitted in the form of a written report and it is submitted to the management. The report must clearly and effectively point out the relationship among the data, the interpretation, and the recommendations. Research report should contain conclusions and recommendations in an organised form.

Marketing Research Report:

A general form of the report has the following contents-

(1) Title page,

(2) Table of contents,

(3) A brief outline of the research and its findings,

(4) A concise statement of the marketing problem and its translation into a research problem,

(5) The aims and objectives of the research,

(6) An outline of the research design of plan describing the methodology used in research to meet the objectives,

(7) Data analysis and results with an abstract of the relevant data,

(8) Limitations imposed on the research and its results,

(9) The findings, conclusions, and recommendations,

(10) Appendices, e.g., questionnaire copy, glossary of terms used, sample design, detailed tables, etc.

The report must be presented in an easily understandable form. The style of writing must be interesting and stimulating. Visual aids must be freely used, e.g., pie charts, bar diagrams, graphs, etc. The recommendations must be precise, clear-cut and feasible.

Marketing Research Process # 7. Follow-Up Recommendations:

The report presented to the management must be followed up to ensure the implementation of recommendations. An excellent report may be simply wasted-when the recommendations are put in the melting pot and management takes no steps in the implementation of research report.

The researcher should actively associate with marketing executives in converting the recommendations of the report into new marketing strategies and programmes. Too often, the follow-up is omitted. In the absence of follow-up, the research report may be filed and forgotten.

Answer 6. Marketing Research Process :

Marketing research has two distinct dimensions that are governed by the exploratory, descriptive and casual approaches. Exploratory studies are based on primary data pertaining to identified samples focusing on a set of objectives. Such studies are generally woven around hypotheses and attempt to generate new ideas to serve the objectives of the research.

Descriptive marketing research tries to describe the magnitude and direction of the problem and brings out the output for a logical debate on the marketing managers’ floor. A research plan determining data sources, methodology, tools, sample design and data collection methods needs to be formulated after setting objectives.

The data collection process has to be initiated from primary or secondary or both sources administering a checklist and questionnaire. The data should then be subjected to an appropriate analysis in view of the set objectives and its findings are to be presented in a draft report.

International marketing research is processed in the following steps:

Step 1- Determine Management Level

a. Corporate

b. Regional

Step 2- Determine Type of Marketing Research Decision

a. Strategic

b. Tactical

Step 3- Determine Information Requirements

Step 4- Design Research

a. Identify Problem

b. Evolve Sampling Design

c. Identify Variables

d. Designing Research Instrument

Step- 5 Examine Data Banks

Step- 6 Collect Secondary Data

Step- 7 Update Data Bank

Step- 8 Analyze Data

Step- 9 Present Report

Step- 10 Integrate Results and Recommendations into Management Decision-making

Making decisions about operating a business in any country specifically requires information pertaining to political, financial and legal indicators. Besides these, data related to infrastructure, duty and taxes and general economic variables of the country are also required to be analyzed.

The risk factors associated with operating a country specific business in the international order are also a prerequisite of international marketing research. The product specific data is required to assess the market potential and profitability with reference to a specific country or region.

The primary data is collected from the earmarked sample that also administers a questionnaire in person or through mail. However, it has been that mailing responses are often discouraging and do not exceed 20% of the sample size. The secondary sources of data are published statistics in internal reports, government publications, periodicals, books and commercial sources. The methodology of study comprises identifying data sources, research approaches, tools, sampling design and data collection methods. This part forms the principal component of a research plan.

An observation research approach is commonly used for formulating descriptive marketing research plans. The focus-group and participatory approaches are useful exercises for exploratory marketing research that does not have complete perspective results. The survey method has proved to be an effective research approach for exploratory studies for analyzing data. This makes use of quantitative methods leading to a distinctive analysis of factors and future projections.

Experimental research attempts to studying the impact on the control group through different applications of business models, checks, reformative goals and qualitative/quantitative analysis methods to draw results. This approach is identified as one of the most scientific methods in relating a research approach with its results.

However, a good marketing research approach needs to be characterized by the following qualities:

1. Scientific method

2. Originality and creativity

3. Potential to use multiple methods for cross-checking the emerging results

4. Interdependence on analytical models and data sets

5. Cost of research.

A marketing research plan should comprise of these qualities for drawing effective results and for preparing a useful document to be used for optimizing business propositions in any situation.

The effectiveness of marketing research largely depends upon the formulation of an appropriate research design consisting of adequate sample size, variables and proper tools for data collection suitable to the problem given. A researcher has to collect substantial background material to conceptualize the research study before heading towards the formulation of a research design for the problem concerned.

The nature of problems varies in consumer marketing research and there also exist studies related to the research of industrial products marketing and the style of research design. There are many design conflicts encountered by the researcher in evolving a suitable research design.

1. The sample size (quantitative)

2. Respondents (classified)

3. Information to be sought (issue specific)

4. Time frame (schedule for completion, class-intervals of time to be reserved)

5. Tools for information collection (interview, mail, telephone, etc.).

It is essential for a marketing researcher to determine the sample size in terms of the number of respondents, regions, products, firms, etc., to be studied and the type of respondents to be covered under study. The classification of respondents according to their income levels, locality, gender, etc., needs to be formulated prior to deciding what questions are to be asked to them. A synchronized list of issues embodying the questionnaire to be administered should be drafted with the aim of retrieving information from the sample respondents.

In conducting any research, time management has considerable importance and hence, the time schedule for information retrieval to be decided. In this context, the cutting-edge of time, class-intervals, and time series issues need to be decided by the researcher. On completing the designing process, the tool(s) for data collection need to be selected. They are- interviewing mailing questionnaires, telephone conversations, etc. An integration of all these components makes a perfect research design.

The sampling process should begin with identifying the area of the study with reference to the section of the population to be interviewed and the spatial distribution of the respondents. This step sets the demographic and geographic boundaries of the sample design. A researcher cannot develop the sample design until the universe (area) of the study is defined.

The size of the sample should be determined carefully through the medium of the questionnaire. To do this, a researcher has to find the answer for two questions in deciding an appropriate sample size.

(i) How large should the sample be, and

(ii) How the respondents should be selected.

Statistically, a minimum number of 30 respondents of a homogeneous group are generally significant, whereas, the size of the heterogeneous group needs to be decided upon qualitative considerations of the sample, viz., purchasing power, the volume of products in demand, behavioral dimensions, etc., in the context of a consumer product.

Two kinds of anticipated errors in the sampling process which often occur are:

(i) Administrative errors in carrying out the survey design. These include communication errors, flaws in the interviewing schedule, irrelevance of framed questions, etc.

(ii) Sampling errors due to the misrepresented samples, faulty selection of the universe for study and the like.

Hence, sampling needs to be done scientifically taking all error possibilities into consideration.

Sampling Techniques:

There are many techniques for sampling used in marketing research. However, the correctness of the technique is subject to the nature of the problem identified for the study and to the objectives set for the same.

The various sampling techniques are detailed below:

Sampling Techniques # 1. Simple Random Sampling:

This method is very flexible. It is not restricted to any one type of respondents, gender, income levels and other variables. The technique allows the researcher to pick sample respondents from the universe of study irrespective of class barriers. However, the minimum and maximum sample size needs to be defined.

Sampling Techniques # 2. Multi-Stage Random Sampling:

This technique is a more complex form of simple random sampling which prescribes that a researcher divide the universe of the, study based on selected variables such as customers by age, customers by income level, customers by sex, etc., and select the samples randomly within the categories formed. However, the minimum and maximum sample size need to be kept in view while sampling under various categories.

Sampling Techniques # 3. Cluster Sample Design:

To make the information collection effective, a researcher can group the respondents into a group or cluster. This can be done demographically or geographically or both depending upon the intensity of the data collection and the time schedule thereof.

Sampling Techniques # 4. Stratified Sampling:

In this process the respondents clusters are made in hierarchical order and sample size in determined on a proportionate basis in each stratum. For example, the sample size of customer needs to be selected with reference to different age groups. In this exercise, the customers have to be classified according to different age-groups, and their population ascertained and proportionately sampled out using a parameter (say 5%). In this technique, the sample size is mostly adjusted within the strata.

Sampling Techniques # 5. Purposive Sampling:

This technique is administered according to the choice of the researcher of area, population and related variables. However, it is necessary to look into the thrust of the research for a sample design to be evolved accordingly. In using this method a researcher should logically set the universe of the study and sample variables with reference to the research problem.

Sampling Techniques # 6. Quota Sampling:

This is a term for representative sampling in which a researcher prescribes a quota of individuals, product, etc., to be studied and which considerably represents the segments of universe. In this technique a common error may occur while allotting correct quota to get a significant representation of the sample for the study.

Structuring a Questionnaire :

A questionnaire is defined as a set of questions related to the research problem that are used for interviewing a sample respondent. The questionnaire is generally prepared in a structured form with many types of questions.

A questionnaire may include the following sets of questions:

1. Long descriptive questions

2. Two questions in one

3. Multiple choice questions

4. Closed and open-ended questions

5. Indirect questions

6. Direct questions

7. Attitudinal questions.

The open-ended questions are difficult to codify for analysis. However, they could generate a substantial input for formulating descriptive cases and observatory analysis. The multiple choice questions have the advantage of easy coding and computerized analysis but at the same time they limit the scope of response. The direct questions are posed to respondents to get to know their viewpoints exclusively while indirect questions attempt to measure the logical framing of responses and in cross-examining the responses of the respondents.

Tools of Data Collection :

Research tools play an important role in managing information during fieldwork. Data collection is a process which encounters many problems while administering the questionnaire to potential respondents. Hence, a wise researcher should always pre-test the questionnaire designed in a pilot survey. Data collection may be carried out through the following tools in order to ensure substantial information flow into the research.

1. Personal interview

2. Mail survey

3. Telephone interview

4. Permanent mail panels

5. Observation.

A substantial data flow can be generated in field research through personal interviews as this facilitates the documentation of expanded responses to questions posed, thus providing scope for more detailed information for analysis. On the contrary, telephone interviews are time bound and one is often left with short answers and with codes which pose a problem in the analysis of information.

Such conversations are not cost effective and cannot be applied for marketing research of consumer or popular goods and services. This tool may prove effective to contact those customers who are not easily available. Interviewing has to be managed within a short span of time.

The survey conducted via mailing questionnaires needs a long time for information collection and the turnout of response is also found to be limited. However, it may be considered by the researcher as one way of placing the informer on the company’s permanent mailing list for a time series information inflow scheduled for long run. Such a tool is useful in collecting time series data with flexible sample size and long-term research schedules.

The example of a company may be cited which was willing to monitor washing machines or water filters or Xerox machines as major products of the users through permanent mailing panels at the company office. It also helps in building up the buyer-seller relationship.

Data Preparation :

The data collected in the field of work process needs to be prepared for analysis and then summarized. This exercise helps in arranging data-sets and classifying clusters for analysis.

The data preparation process involves the editing of data, the coding of responses categorically, tabulation of responses into frequencies or analysis tables, graphical representation of data and analytical results and summary statements highlighting the main findings of analysis in different data-sets.

Editing of data involves the examination of raw data to ensure the accuracy of information and its presentation in usable form.

Initial surveying of data needs to be done keeping the following issues in mind:

1. Are the responses legible?

2. Consistency of responses.

3. Are the responses complete?

4. Doubtful notions and indirect responses.

Such screening is necessary for the answers of open-ended questions. They need to be carefully classified for clustering input for analysis. However, multiple choice data formats are easy for loading and preparing sets. Editing of data also requires checking the consistency of responses to related queries. The responses have to be cross-checked and a researcher should get a satisfactory presentation of information.

Incomplete responses need to be sorted out and attempts should be made to extract the relevant parts of the response from the indirect phrases for presenting information effectively. In order to increase the efficacy of information desk editing, it is essential to field edit administered questionnaires at the end of the day. It helps in recapitulating the interviews held and the discussions thereof before undertaking editing work.

Coding is another exercise to be carried out in the process of data preparation. It is generally done to numerically codify the responses of open-ended questions, classifying them appropriately. The codified data is used for statistical analysis. The pre-coded questionnaires are also used for interviewing but they have a limitation in terms of restricted response options. Such formats are useful for handling large data analysis through computers.

Tabulation is the process of arranging data into an illustrative form pertaining to different variables of a factor. This exhibition of cross tabulation is self-explanatory to a large extent. However, the presentation of analysis results or raw data can also be done through simple tabulation techniques.

Cross tabulation is one of the most popular designs for summarizing marketing research data. A researcher can identify the statistical relationship between variables and their significance by looking at the cross tables. It benefits the analyst as logical exhibits which even a non-researcher can understand.

Data Analysis Approaches :

Data in an original form remains raw at any source. It needs to be fabricated in turn to the analytical design suitable for the study. This task may be determined according to the need that arises in usage of data for the analytical model. There are different procedures for data analysis for extracting information from a given data set.

They are as follows:

i. Regression Analysis :

This method is used to identify the trend using a time series data of one or more variables. A researcher distinguishes the variables as dependent and independent in nature. The analysis highlights the contribution of variables to variations in the dependent variable. The analysis if carried by two or more independent variables is termed as multiple regression. One prerequisite for such analysis is a time-series data of the variables identified.

ii. Discriminate Function Analysis :

This method is used to determine the impact of a particular variables(s) on the dependent variable. This statistical process helps in finding the discriminating variables which could be combined in a forecasting equation to lead better for the group cluster. This analysis has been used to identify and develop criteria for market segmentation, and also to examine consumer behavior with reference to brand choice.

iii. Factor Analysis :

The factor analysis attempts to provide an explanation for the correlations of a larger set of variables. This analysis may be useful to determine the attitudes of customers towards the products of a company in a given situation.

iv. Cluster Analysis :

This process is helpful in obtaining segregated results for a group of variables of a homogeneous nature. In marketing research, it is essential to set sub-groups like consumer goods, capital goods, (in product) range, people, place, income levels, etc. Analysis is done keeping in view the clustered data as one segment or factor in the statistical process.

v. Conjoint Analysis :

This method is used for exploring the possibilities of designing and launching a new product that can attract customers. Customers are asked to rank some hypothetical products, which information is put through composite indexing and the final ranks are computed. This method is commonly used for psychometric tests and measurements in determining behavior.

It is a popular approach for ranking the performance of the product as well as the company in the market. These analytical approaches support the study of identifying factors, variable correlations and interdependence in a given situation. Models help the marketing manager to come to an appropriate decision on the basis of the logical interpretation of analytical results.

The link between the dependent variable and its determinants is specified in the micro- dynamic model. The impact of product promotion activities on the volume of sales can be explained by studying the links between advertising expenditure, the number of media message insertions, the level of product awareness, usage rate, etc., through this model.

The micro behavioral model hypothetically analyses independent variables like consumers, dealers, etc., who interact and produce a report of behavior. The queuing model provides a logical base for making such decisions in the area of time-run sales or marketing as whether to make the customer wait for the product or to alter the policy in view of competitive threats.

This model can be effectively used in supermarkets, transport organizations, etc. The decision-making models comprise of mathematical techniques, decision theories and probability models which are calculus and theory oriented. The game theory is also an important approach in the decision-making exercise. It draws attention to the identification alternative decisions, uncertain variables and value of different results.

Approaches other than those discussed above are specific to the problem. For instance, the focus group analysis based on qualitative information may be done for determining product policy.

The related research and analytical approaches are as given below:

1. Product Policy Decision:

a. Focus group

b. Survey of developing new product

c. Concept testing/test marketing

d. Product attitude data

a. Price sensitivity approaches

3. Distribution Decision:

a. Data on shopping patterns and

b. Consumer behavior

c. Distributors attitude and policy

d. Data on performance of store different store types

4. Advertising Decision:

a. Concept pre-testing

b. Evaluation and feedback analysis

c. Surveys on media habits

5. Sales Decision:

a. Analysis of response in terms of revenue,

b. Profit and image of promotional strategies

It is, however, advised in the case of international marketing research that a greater use of qualitative research techniques may be made at the initial stages of market entry in order to familiarize one set with the international environment. Further, a concrete research process can be developed, more complex, if possible and administered in different countries having a varied social, economical, political and legal environment.

Related Articles:

• Marketing Research: Procedure for doing Marketing Research for your Business
• Steps in Marketing Research
• Marketing Research: Process, Steps and Stages
• Marketing Research: Process and Importance | Marketing Management

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7 stages or steps involved in marketing research process.

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Some of the major steps involved in marketing research process are as follows: 1. Identification and Defining the Problem 2. Statement of Research Objectives 3. Planning the Research Design or Designing the Research Study 4. Planning the Sample 5. Data Collection 6. Data Processing and Analysis 7. Formulating Conclusion, Preparing and Presenting the Report.

Marketing research exercise may take many forms but systematic enquiry is a feature common to all such forms. Being a systematic enquiry, it requires a careful planning of the orderly investigation process.

Though it is not necessary that all research processes would invariably follow a given sequence, yet marketing research often follows a generalised pattern which can be broken down and studied as sequential stages.

The various stages or steps in the marketing research process are discussed below:

1. Identification and Defining the Problem:

The market research process begins with the identification “of a problem faced by the company. The clear-cut statement of problem may not be possible at the very outset of research process because often only the symptoms of the problems are apparent at that stage. Then, after some explanatory research, clear definition of the problem is of crucial importance in marketing research because such research is a costly process involving time, energy and money.

Clear definition of the problem helps the researcher in all subsequent research efforts including setting of proper research objectives, the determination of the techniques to be used, and the extent of information to be collected.

It may be noted that the methods of explanatory research popularly in use are—survey of secondary data, experience survey, or pilot studies, i.e., studies of a small initial sample. All this is also known as ‘preliminary investigation’.

2. Statement of Research Objectives :

After identifying and defining the problem with or without explanatory research, the researcher must take a formal statement of research objectives. Such objectives may be stated in qualitative or quantitative terms and expressed as research questions, statement or hypothesis. For example, the research objective, “To find out the extent to which sales promotion schemes affected the sales volume” is a research objective expressed as a statement.

On the other hand, a hypothesis is a statement that can be refuted or supported by empirical finding. The same research objective could be stated as, “To test the proposition that sales are positively affected by the sales promotion schemes undertaken this winter.”

Example of another hypothesis may be: “The new packaging pattern has resulted in increase in sales and profits.” Once the objectives or the hypotheses are developed, the researcher is ready to choose the research design.

3. Planning the Research Design or Designing the Research Study :

After defining the research problem and deciding the objectives, the research design must be developed. A research design is a master plan specifying the procedure for collecting and analysing the needed information. It represents a framework for the research plan of action.

The objectives of the study are included in the research design to ensure that data collected are relevant to the objectives. At this stage, the researcher should also determine the type of sources of information needed, the data collection method (e.g., survey or interview), the sampling, methodology, and the timing and possible costs of research.

4. Planning the Sample :

Sampling involves procedures that use a small number of items or parts of the ‘population’ (total items) to make conclusion regarding the ‘population’. Important questions in this regard are— who is to be sampled as a rightly representative lot? Which is the target ‘population’? What should be the sample size—how large or how small? How to select the various units to make up the sample?

5. Data Collection :

The collection of data relates to the gathering of facts to be used in solving the problem. Hence, methods of market research are essentially methods of data collection. Data can be secondary, i.e., collected from concerned reports, magazines and other periodicals, especially written articles, government publications, company publications, books, etc.

Data can be primary, i.e., collected from the original base through empirical research by means of various tools.

There can be broadly two types of sources

(i) Internal sources—existing within the firm itself, such as accounting data, salesmen’s reports, etc.

(ii) External sources—outside the firm.

6. Data Processing and Analysis :

Once data have been collected, these have to be converted into a format that will suggest answers to the initially identified and defined problem. Data processing begins with the editing of data and its coding. Editing involves inspecting the data-collection forms for omission, legibility, and consistency in classification. Before tabulation, responses need to be classified into meaningful categories.

The rules for categorizing, recording and transferring the data to ‘data storage media’ are called codes. This coding process facilitates the manual or computer tabulation. If computer analysis is being used, the data can be key punched and verified.

Analysis of data represents the application of logic to the understanding of data collected about the subject. In its simplest form analysis may involve determination of consistent patterns and summarising of appropriate details.

The appropriate analytical techniques chosen would depend upon informational requirements of the problem, characteristics of the research designs and the nature of the data gathered. The statistical analysis may range from simple immediate analysis to very complex multivariate analysis.

7. Formulating Conclusion, Preparing and Presenting the Report:

The final stage in the marketing research process is that of interpreting the information and drawing conclusion for use in managerial decision. The research report should clearly and effectively communicate the research findings and need not include complicated statement about the technical aspect of the study and research methods.

Often the management is not interested in details of research design and statistical analysis, but instead, in the concrete findings of the research. If need be, the researcher may bring out his appropriate recommendations or suggestions in the matter. Researchers must make the presentation technically accurate, understandable and useful.

Related Articles:

• 6 Stages involved in Marketing Research Process
• 6 Steps Involved in Industrial Marketing Research Process

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