Principles of Marketing (activebook 2.0 )  
   
   
 

  

Developing Marketing Information

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Marketers can obtain the needed information from internal data, marketing intelligence, and marketing research.
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Internal Data

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Many companies build extensive internal databases, electronic collections of information obtained from data sources within the company. Marketing managers can readily access and work with information in the database to identify marketing opportunities and problems, plan programs, and evaluate performance.
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Information in the database can come from many sources. The accounting department prepares financial statements and keeps detailed records of sales, costs, and cash flows. Operations reports on production schedules, shipments, and inventories. The sales force reports on reseller reactions and competitor activities. The marketing department furnishes information on customer demographics, psychographics, and buying behavior, and the customer service department keeps records of customer-satisfaction or service problems. Research studies done for one department may provide useful information for several others.
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Here is an example of how one company uses its internal database to make better marketing decisions:
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USAA, which provides financial services to U.S. military personnel and their families, maintains a customer database built from customer purchasing histories and from information collected directly from customers. USAA uses the database to tailor marketing offers to the specific needs of individual customers. For example, if the family has college-age children, the USAA sends those children information on how to manage their credit cards. If the family has younger children, it sends booklets on things like financing a child's education. Or, for customers looking toward retirement, it sends information on estate planning. Through skillful use of its database, USAA serves each customer uniquely, resulting in high levels of customer loyalty—the roughly $65 billion company retains over 96 percent of its customers.

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Internal databases usually can be accessed more quickly and cheaply than other information sources, but they also present some problems. Because internal information was collected for other purposes, it may be incomplete or in the wrong form for making marketing decisions. For example, sales and cost data used by the accounting department for preparing financial statements must be adapted for use in evaluating product, sales force, or channel performance. Data ages quickly; keeping the database current requires a major effort. In addition, a large company produces mountains of information, and keeping track of it all is difficult. The database information must be well integrated and readily accessible through user-friendly interfaces so that managers can find it easily and use it effectively.
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Marketing Intelligence

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Marketing intelligence is systematic collection and analysis of publicly available information about competitors and developments in the marketing environment. The goal of marketing intelligence is to improve strategic decision making, assess and track competitors' actions, and provide early warning of opportunities and threats.
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Financial services provider USAA uses its extensive database to tailor the specific needs of individual customers, resulting in greater than 96 percent customer retention.
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Competitive intelligence gathering has grown dramatically as more and more companies are now busily snooping on their competitors. Techniques range from quizzing the company's own employees and benchmarking competitors' products to researching the Internet, lurking around industry trade shows, and rooting through rivals' trash bins.
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Much intelligence can be collected from people inside the rival companies—executives, engineers and scientists, purchasing agents, and the sales force. Consider the following examples:
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While talking with a Kodak copier salesperson, a Xerox technician learned that the salesperson was being trained to service Xerox products. The Xerox employee reported back to his boss, who in turn passed the news to Xerox's intelligence unit. Using such clues as a classified ad Kodak placed seeking new people with Xerox product experience, Xerox verified Kodak's plan—code-named Ulysses—to service Xerox copiers. To protect its profitable service business, Xerox designed a Total Satisfaction Guarantee, which allowed copier returns for any reason as long as Xerox did the servicing. By the time Kodak launched Ulysses, Xerox had been promoting its new program for three months.

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Spies don't always enter a rival's lair through the back door. Sometimes they stride in, and are even welcomed by their hosts. Bob Ayling, ex-chief executive of British Airways, accomplished such a mission when he visited the offices of the recently launched EasyJet…. Ayling approached the company's founder, Stelios Haji-Ioannou, to ask whether he could visit, claiming to be fascinated as to how the Greek entrepreneur had made the budget airline formula work. Haji-Ioannou not only agreed, but allegedly showed Ayling his business plan. [A year later, British Air] announced the launch of Go. "It was a carbon copy of EasyJet," says…EasyGroup's director of corporate affairs. "Same planes, same direct ticket sales, same use of a secondary airport, and same idea to sell on-board refreshments. They succeeded in stealing our business model—it was a highly effective spying job."

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The company can also obtain important intelligence information from suppliers, resellers, and key customers. Or it can get good information by observing competitors. It can buy and analyze competitors' products, monitor their sales, check for new patents, and examine various types of physical evidence. For example, one company regularly checks out competitors' parking lots—full lots might indicate plenty of work and prosperity; half-full lots might suggest hard times.
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Some companies have even rifled their competitors' garbage, which is legally considered abandoned property once it leaves the premises. In one garbage-snatching incident, Avon hired private detectives to paw through the dumpster of rival Mary Kay Cosmetics to search for revealing documents. An outraged Mary Kay sued to get its garbage back, but the dumpster had been located in a public parking lot and Avon had videotapes to prove it. In another case, Procter & Gamble admitted to "dumpster diving" at rival Unilever's headquarters. The target was Unilever's hair-care products—including Salon Selectives, Finesse, Thermasilk, and Helen Curtis—which competed with P&G's own Pantene, Head & Shoulders, and Pert brands. "Apparently, the operation was a big success," notes an analyst. "P&G got its mitts on just about every iota of info there was to be had about Unilever's brands." However, when news of the questionable tactics reached top P&G managers, they were shocked. They immediately stopped the project, voluntarily informed Unilever, and set up negotiations to right whatever competitive wrongs had been done. Although P&G claims it broke no laws, the company reported that the dumpster raids "violated our strict guidelines regarding our business policies."
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Competitors may reveal intelligence information through their annual reports, business publications, trade-show exhibits, press releases, advertisements, and Web pages. The Internet is proving to be a vast new source of competitor-supplied information. Most companies now place volumes of information on their Web sites, providing details to attract customers, partners, suppliers, or franchisees. For example, Allied Signal's Web site provides revenue goals and reveals the company's production-defect rate along with its plans to improve it. Mail Boxes Etc., a chain of mailing services, provides data on its average franchise, including square footage, number of employees, operating hours, and more—all valuable insights for a competitor.
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"In today's information age, companies are leaving a paper trail of information online," says an online intelligence expert. Today's managers "don't have to simply rely on old news or intuition when making investment and business decisions." Using Internet search engines, marketers can search specific competitor names, events, or trends and see what turns up. Intelligence seekers can also pore through any of thousands of online databases. Some are free. For example, the U.S. Security and Exchange Commission's database provides a huge stockpile of financial information on public competitors, and the U.S. Patent Office database reveals patents competitors have filed. And for a fee, companies can subscribe to any of more than 3,000 online databases and information search services such as Dialog, DataStar, LEXIS-NEXIS, Dow Jones News Retrieval, UMI ProQuest, and Dun & Bradstreet's Online Access.
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Facing determined marketing intelligence efforts by competitors, most companies are now taking countermeasures. For example, Unilever has begun widespread competitive intelligence training. According to a former Unilever staffer, "We were told how to protect information, as well as how to get it from competitors. We were warned to always keep our mouths shut when traveling…. We were even warned that spies from competitors could be posing as drivers at the mini-cab company we used." Unilever even performs random checks on internal security. Says the former staffer, "At one [internal marketing] conference, we were set up when an actor was employed to infiltrate the group. The idea was to see who spoke to him, how much they told him, and how long it took to realize that no one knew him. He ended up being there for a long time."
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The growing use of marketing intelligence raises a number of ethical issues. Although most of the preceding techniques are legal, and some are considered to be shrewdly competitive, some may involve questionable ethics. Clearly, companies should take advantage of publicly available information. However, they should not stoop to snoop. With all the legitimate intelligence sources now available, a company does not have to break the law or accepted codes of ethics to get good intelligence.
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Marketing Research

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In addition to information about competitor and environmental happenings, marketers often need formal studies of specific situations. For example, Sears wants to know what appeals will be most effective in its corporate advertising campaign. Or Toshiba wants to know how many and what kinds of people or companies will buy its new superfast notebook computer. In such situations, marketing intelligence will not provide the detailed information needed. Managers will need marketing research.
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Marketing research is the systematic design, collection, analysis, and reporting of data relevant to a specific marketing situation facing an organization. Companies use marketing research in a wide variety of situations. For example, marketing research can help marketers assess market potential and market share; understand customer satisfaction and purchase behavior; and measure the effectiveness of pricing, product, distribution, and promotion activities.
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Some large companies have their own research departments that work with marketing managers on marketing research projects. This is how Kraft, Citigroup, and many other corporate giants handle marketing research. In addition, these companies—like their smaller counterparts—frequently hire outside research specialists to consult with management on specific marketing problems and conduct marketing research studies. Sometimes firms simply purchase data collected by outside firms to aid in their decision making.
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The marketing research process (see Figure 5.2) has four steps: defining the problem and research objectives, developing the research plan, implementing the research plan, and interpreting and reporting the findings.
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Defining the Problem and Research Objectives

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Marketing managers and researchers must work closely together to define the problem and agree on research objectives. The manager best understands the decision for which information is needed; the researcher best understands marketing research and how to obtain the information.
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Defining the problem and research objectives is often the hardest step in the research process. The manager may know that something is wrong, without knowing the specific causes. For example, in the New Coke case, Coca-Cola defined its research problem too narrowly, with disastrous results. In another example, managers of a large discount retail store chain hastily decided that falling sales were caused by poor advertising. As a result, they ordered research to test the company's advertising. When this research showed that current advertising was reaching the right people with the right message, the managers were puzzled. It turned out that the real problem was that the chain was not delivering the prices, products, and service promised in the advertising. Careful problem definition would have avoided the cost and delay of doing advertising research.
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 FIGURE 5.2 The marketing research process 
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After the problem has been defined carefully, the manager and researcher must set the research objectives. A marketing research project might have one of three types of objectives. The objective of exploratory research is to gather preliminary information that will help define the problem and suggest hypotheses. The objective of descriptive research is to describe things, such as the market potential for a product or the demographics and attitudes of consumers who buy the product. The objective of causal research is to test hypotheses about cause-and-effect relationships. For example, would a 10 percent decrease in tuition at a private college result in an enrollment increase sufficient to offset the reduced tuition? Managers often start with exploratory research and later follow with descriptive or causal research.
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The statement of the problem and research objectives guides the entire research process. The manager and researcher should put the statement in writing to be certain that they agree on the purpose and expected results of the research.
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Developing the Research Plan

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Once the research problems and objectives have been defined, researchers must determine the exact information needed, develop a plan for gathering it efficiently, and present the plan to management. 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 new data.
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Research objectives must be translated into specific information needs. For example, suppose Campbell decides to conduct research on how consumers would react to the introduction of new bowl-shaped plastic containers that it has used successfully for a number of its other products. The containers would cost more but would allow consumers to heat the soup in a microwave oven without adding water or milk and to eat it without using dishes. This research might call for the following specific information:
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The demographic, economic, and lifestyle characteristics of current soup users. (Busy working couples might find the convenience of the new packaging worth the price; families with children might want to pay less and wash the pan and bowls.)
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Consumer-usage patterns for soup: how much soup they eat, where, and when. (The new packaging might be ideal for adults eating lunch on the go, but less convenient for parents feeding lunch to several children.)
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Retailer reactions to the new packaging. (Failure to get retailer support could hurt sales of the new package.)
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Consumer attitudes toward the new packaging. (The red-and-white Campbell can has become an American institution—will consumers accept the new packaging?)
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Forecasts of sales of both new and current packages. (Will the new packaging increase Campbell's profits?)
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Campbell managers will need these and many other types of information to decide whether to introduce the new packaging.
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The research plan should be presented in a written proposal. A written proposal is especially important when the research project is large and complex or when an outside firm carries it out. The proposal should cover the management problems addressed and the research objectives, the information to be obtained, and the way the results will help management decision making. The proposal also should include research costs.
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To meet the manager's information needs, the research plan can call for gathering secondary data, primary data, or both. Secondary data consist of information that already exists somewhere, having been collected for another purpose. Primary data consist of information collected for the specific purpose at hand.
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Gathering Secondary Data

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Researchers usually start by gathering secondary data. The company's internal database provides a good starting point. However, the company can also tap a wide assortment of external information sources, including commercial data services and government sources (see Table 5.1).
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Companies can buy secondary data reports from outside suppliers. For example, Information Resources, Inc., sells supermarket scanner purchase data from a panel of 55,000 households nationally, with measures of trial and repeat purchasing, brand loyalty, and buyer demographics. The Monitor service by Yankelovich and Partners sells information on important social and lifestyle trends. These and other firms supply high-quality data to suit a wide variety of marketing information needs.
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Using commercial online databases, marketing researchers can conduct their own searches of secondary data sources. General database services such as CompuServe, Dialog, and LEXIS-NEXIS put an incredible wealth of information at the keyboards of marketing decision makers. Beyond commercial Web sites offering information for a fee, almost every industry association, government agency, business publication, and news medium offers free information to those tenacious enough to find their Web sites. There are so many Web sites offering data that finding the right ones can become an almost overwhelming task.
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Secondary data can usually be obtained more quickly and at a lower cost than primary data. For example, an Internet or online database search might provide all the information Campbell needs on soup usage, quickly and at low cost. A study to collect primary information might take weeks or months and cost thousands of dollars. Also, secondary sources sometimes can provide data an individual company cannot collect on its own—information that either is not directly available or would be too expensive to collect. For example, it would be too expensive for Campbell to conduct a continuing retail store audit to find out about the market shares, prices, and displays of competitors' brands. But it can buy the InfoScan service from Information Resources, Inc., which provides this information from thousands of scanner-equipped supermarkets in dozens of U.S. markets.
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Secondary data can also present problems. The needed information may not exist—researchers can rarely obtain all the data they need from secondary sources. For example, Campbell will not find existing information about consumer reactions to new packaging that it has not yet placed on the market. Even when data can be found, they might not be very usable. The researcher must evaluate secondary information carefully to make certain it is relevant (fits research project needs), accurate (reliably collected and reported), current (up-to-date enough for current decisions), and impartial (objectively collected and reported).
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Primary Data Collection

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Secondary data provide a good starting point for research and often help to define problems and research objectives. In most cases, however, the company must also collect primary data. Just as researchers must carefully evaluate the quality of secondary information, they also must take great care when collecting primary data to make sure that it will be relevant, accurate, current, and unbiased. Table 5.2 shows that designing a plan for primary data collection calls for a number of decisions on research approaches, contact methods, sampling plan, and research instruments.
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 TABLE 5.1 Selected External Information Sources 
FOR BUSINESS DATA:
AC Nielsen (www.acnielsen.com) provides supermarket scanner data on sales, market share, and retail prices; data on household purchasing; and data on television audiences.
Information Resources, Inc. (www.infores.com) provides supermarket scanner data for tracking grocery product movement and new product purchasing data.
Arbitron (www.arbitron.com) provides local-market and Internet radio audience and advertising expenditure information, among other media and ad spending data.
NDC Health Information Services (www.simatics.com/index.htm) reports on the movement of drugs, laboratory supplies, animal health products, and personal care products.
Simmons Market Research Bureau (www.smrb.com) provides detailed analysis of consumer patterns in 400 product categories in selected markets.
Dun & Bradstreet (www.dnb.com) maintains a database containing information on more than 50 million individual companies around the globe.
Dialog (http://library.dialog.com) offers access to ABI/INFORM, a database of articles from 8001 publications, and to reports, newsletters, and directories covering dozens of industries.
LEXIS-NEXIS (www.lexis-nexis.com) features articles from business, consumer, and marketing publications plus tracking of firms, industries, trends, and promotion techniques.
CompuServe (www.compuserve.com) provides access to databases of business and consumer demographics, government reports, and patent records, plus articles from newspapers, newsletters, and research reports.
Dow Jones Interactive (http://bis.dowjones.com) specializes in in-depth financial, historical, and operational information on public and private companies.
Hoovers Online (www.hoovers.com) provides business descriptions, financial overviews, and news about major companies around the world.
CNN (www.cnn.com) reports U.S. and global news and covers the markets and news-making companies in detail.
American Demographics (www.americandemographics.com) reports on demographic trends and their significance for businesses.

FOR GOVERNMENT DATA:
Securities and Exchange Commission Edgar database (www.sec.gov) provides financial data on U.S. public corporations.
Small Business Administration (www.sbaonline.sba.gov) features information and links for small-business owners.
Federal Trade Commission (www.ftc.gov) shows regulations and decisions related to consumer protection and antitrust laws.
Stat-USA (www.stat-usa.gov), a Department of Commerce site, highlights statistics on U.S. business and international trade.
U.S. Census (www.census.gov) provides detailed statistics and trends about the U.S. population.
U.S. Patent and Trademark Office (www.uspto.gov) allows searches to determine who has filed for trademarks and patents.

FOR INTERNET DATA
CyberAtlas (http://cyberatlas.internet.com) brings together a wealth of information about the Internet and its users, from consumers to e-commerce.
Internet Advertising Bureau (www.iab.net) covers statistics about advertising on the Internet.
Jupiter Media Metrix (www.jmm.com) provides audience measurement and geodemographic analysis of Internet and digital media users around the world.
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 TABLE 5.2 Planning Primary Data Collection 
Research
Methods
Contact
Plan
Sampling
Instruments
Research Approaches

Observation Mail Sampling unit Questionnaire
Survey Telephone Sample size Mechanical instruments
Experiment Personal Sampling procedure
Online
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RESEARCH APPROACHES    Research approaches for gathering primary data include observation, surveys, and experiments. Observational research involves gathering primary data by observing relevant people, actions, and situations. For example, a consumer packaged-goods marketer might visit supermarkets and observe shoppers as they browse the store, pick up products and examine packages, and make actual buying decisions. Or a bank might evaluate possible new branch locations by checking traffic patterns, neighborhood conditions, and the location of competing branches. A wide range of companies now use ethnographic research—which combines intensive observation with customer interviews—to gain deep insights into how customers buy and live with their products.
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Online database services such as Dialog put an incredible wealth of information at the keyboards of marketing decision makers. Dialog puts "information to change the world, or your corner of it" at your fingertips.
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B2B marketers also employ observation in their marketing research. For example, Steelcase used it to help design new office furniture for use by work teams.
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To learn firsthand how teams actually operate, it set up video cameras at various companies and studied the tapes, looking for motions and behavior patterns that customers themselves might not even notice. It found that teams work best when they can do some work together and some privately. So Steelcase designed highly successful modular office units called Personal Harbor. These units are "rather like telephone booths in size and shape." They can be arranged around a common space where a team works, letting people work together but also alone when necessary. Says a Steelcase executive, "Market data wouldn't necessarily have pointed us that way. It was more important to know how people actually work."

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Many companies collect data through mechanical observation via machine or computer. For example, the Nielsen Media Research attaches people meters to television sets in selected homes to record who watches which programs. Other companies use checkout scanners to record shoppers' purchases so that manufacturers and retailers can assess product sales and store performance. And DoubleClick, among other Internet companies, places a cookie—a bit of information—on consumers' hard drives to monitor their Web surfing patterns. Similarly, MediaMetrix places special software on consumers' PCs to monitor Web-surfing patterns and produce ratings for top Web sites.
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Observational research can obtain information that people are unwilling or unable to provide. In some cases, observation may be the only way to obtain the needed information. In contrast, some things simply cannot be observed, such as feelings, attitudes and motives, or private behavior. Long-term or infrequent behavior is also difficult to observe. Because of these limitations, researchers often use observation along with other data collection methods.
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"Observational research: Steelcase set up video cameras at various companies to study motions and behavior patterns that customers themselves might not even notice. The result was the highly successful Personal Harbor modular office units."
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Survey research, the most widely used method for primary data collection, is the approach best suited for gathering descriptive information. A company that wants to know about people's knowledge, attitudes, preferences, or buying behavior can often find out by asking them directly.
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Some firms provide marketers with a more comprehensive look at buying patterns through single-source data systems. These systems start with surveys of huge consumer panels—carefully selected groups of consumers who agree to participate in ongoing research. Then, they electronically monitor survey respondents' purchases and exposure to various marketing activities. Combining the survey and monitoring information gives a better understanding of the link between consumer characteristics, attitudes, and purchase behavior.
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The major advantage of survey research is its flexibility—it can be used to obtain many different kinds of information in many different situations. However, survey research also presents some problems. Sometimes people are unable to answer survey questions because they cannot remember or have never thought about what they do and why. People may be unwilling to respond to unknown interviewers or about things they consider private. Respondents may answer survey questions even when they do not know the answer, in order to appear smarter or more informed. Or they may try to help the interviewer by giving pleasing answers. Finally, busy people may not take the time, or they may resent the intrusion into their privacy.
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Whereas observation is best suited for exploratory research and surveys for descriptive research, experimental research is best suited for gathering causal information. Experiments involve selecting matched groups of subjects, giving them different treatments, controlling unrelated factors, and checking for differences in group responses. Thus, experimental research tries to explain cause-and-effect relationships.
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For example, before adding a new sandwich to its menu, McDonald's might use experiments to test the effects on sales of two different prices it might charge. It could introduce the new sandwich at one price in one city and at another price in another city. If the cities are similar, and if all other marketing efforts for the sandwich are the same, then differences in sales in the two cities could be related to the price charged.
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CONTACT METHODS    Information can be collected by mail, by telephone, via personal interview, or online. Table 5.3 shows the strengths and weaknesses of each of these contact methods.
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Mail questionnaires can be used to collect large amounts of information at a low cost per respondent. Respondents may give more-honest answers to more-personal questions on a mail questionnaire than to an unknown interviewer in person or over the phone. Also, no interviewer is involved to bias the respondent's answers. However, mail questionnaires are not very flexible—all respondents answer the same questions in a fixed order. Mail surveys usually take longer to complete, and the response rate—the number of people returning completed questionnaires—is often very low. Finally, the researcher often has little control over the mail questionnaire sample. Even with a good mailing list, it is hard to control who at the mailing address fills out the questionnaire.
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Telephone interviewing is the one of the best methods for gathering information quickly, and it provides greater flexibility than mail questionnaires. Interviewers can explain difficult questions and, depending on the answers they receive, skip some questions or probe on others. Response rates tend to be higher than with mail questionnaires, and interviewers can ask to speak to respondents with the desired characteristics or even by name.
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However, with telephone interviewing, the cost per respondent is higher than with mail questionnaires. Also, people may not want to discuss personal questions with an interviewer. The method also introduces interviewer bias—the way interviewers talk, how they ask questions, and other differences may affect respondents' answers. Finally, different interviewers may interpret and record responses differently, and under time pressures some interviewers might even cheat by recording answers without asking questions.
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 TABLE 5.3 Strengths and Weaknesses of Contact Methods 
Mail Telephone Personal Online

Flexibility Poor Good Excellent Good
Quantity of data that
can be collected
Good Fair Excellent Good
Control of interviewer effects Excellent Fair Poor Fair
Control of sample Fair Excellent Fair Poor
Speed of data collection Poor Excellent Good Excellent
Response rate Fair Good Good Good
Cost Good Fair Poor Excellent
Source: Adapted with permission from Marketing Research: Measurement and Method, 7th ed., by Donald S. Tull and Del I. Hawkins. Copyright 1993 by Macmillan Publishing Company.
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Personal interviewing takes two forms—individual and group interviewing. Individual interviewing involves talking with people in their homes or offices, on the street, or in shopping malls. Such interviewing is flexible. Trained interviewers can guide interviews, explain difficult questions, and explore issues as the situation requires. They can show subjects actual products, advertisements, or packages and observe reactions and behavior. However, individual personal interviews may cost three to four times as much as telephone interviews.
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Group interviewing consists of inviting 6 to 10 people to talk with a trained moderator about a product, service, or organization. Participants normally are paid a small sum for attending. The moderator encourages free and easy discussion, hoping that group interactions will bring out actual feelings and thoughts. At the same time, the moderator "focuses" the discussion—hence the name focus group interviewing. The comments are recorded in writing or on videotape for later study.
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Focus group interviewing has become one of the major marketing research tools for gaining insight into consumer thoughts and feelings. However, focus group studies usually employ small sample sizes to keep time and costs down, and it may be hard to generalize from the results. Because interviewers have more freedom in personal interviews, the problem of interviewer bias is greater.
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Today, modern communications technology is changing the way that focus groups are conducted:
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Videoconferencing links, television monitors, remote-control cameras, and digital transmission are boosting the amount of focus group research done over long-distance lines. In a typical videoconferencing system, two cameras focused on the group are controlled by clients who hold a remote keypad. Executives in a far-off boardroom can zoom in on faces and pan the focus group at will. A two-way sound system connects remote viewers to the backroom, focus group room, and directly to the monitor's earpiece. Recently, while testing new product names in one focus group, the client's creative director had an idea and contacted the moderator, who tested the new name on the spot.

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Another form of interviewing is computer-assisted interviewing, a contact method in which respondents sit at computers, read questions on the screen, and type in their own answers while an interviewer is present. The computers might be located at a research center, trade show, shopping mall, or retail location.
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The latest technology to hit marketing research is the Internet. Increasingly, marketing researchers are collecting primary data through online (Internet) marketing research—Internet surveys, experiments, and online focus groups. Online focus groups offer advantages over traditional methods:
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Janice Gjersten, director of marketing for an online entertainment company, wanted to…gauge reaction to a new Web site. [She] contacted Cyber Dialogue, which provided focus group respondents drawn from its 10,000-person database. The focus group was held in an online chat room, which Gjersten "looked in on" from her office computer. Gjersten could interrupt the moderator at any time with flash e-mails unseen by the respondents. Although the online focus group lacked voice and body cues, Gjersten says she will never conduct a traditional focus group again. Not only were respondents more honest, but the cost for the online group was one third that of a traditional focus group and a full report came to her in one day, compared to four weeks.

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Although online research offers much promise, and some analysts predict that the Internet will soon be the primary marketing research tool, others are more cautious.
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SAMPLING PLAN    Marketing researchers usually draw conclusions about large groups of consumers by studying a small sample of the total consumer population. A sample is a segment of the population selected to represent the population as a whole. Ideally, the sample should be representative so that the researcher can make accurate estimates of the thoughts and behaviors of the larger population.
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Designing the sample requires three decisions. First, who is to be surveyed (what sampling unit)? The answer to this question is not always obvious. For example, to study the decision-making process for a family automobile purchase, should the researcher interview the husband, wife, other family members, dealership salespeople, or all of these? The researcher must determine what information is needed and who is most likely to have it.
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Second, how many people should be surveyed (what sample size)? Large samples give more-reliable results than small samples. It is not necessary to sample the entire target market or even a large portion to get reliable results, however. If well chosen, samples of less than 1 percent of a population can often give good reliability.
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Third, how should the people in the sample be chosen (what sampling procedure)? Table 5.4 describes different kinds of samples. Using probability samples, each population member has a known chance of being included in the sample, and researchers can calculate confidence limits for sampling error. But when probability sampling costs too much or takes too much time, marketing researchers often take nonprobability samples, even though their sampling error cannot be measured. These varied ways of drawing samples have different costs and time limitations as well as different accuracy and statistical properties. Which method is best depends on the needs of the research project.
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 TABLE 5.4 Types of Samples 
Probability Sample

Simple random sample Every member of the population has a known and
equal chance of selection.

Stratified random sample The population is divided into mutually exclusive
groups (such as age groups), and random samples
are drawn from each group.

Cluster (area) sample The population is divided into mutually exclusive
groups (such as blocks), and the researcher draws
a sample of the groups to interview.

Nonprobability Sample

Convenience sample The researcher selects the easiest population
members from which to obtain information.

The researcher uses his or her judgment to select population members who are good prospects for accurate information.

Judgment sample The researcher finds and interviews a prescribed number of people in each of several categories.
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RESEARCH INSTRUMENTS    In collecting primary data, marketing researchers have a choice of two main research instruments—the questionnaire and mechanical devices. The questionnaire is by far the most common instrument, whether administered in person, by phone, or online.
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Questionnaires are very flexible—there are many ways to ask questions. Closed-ended questions include all the possible answers, and subjects make choices among them. Examples include multiple-choice questions and scale questions. Open-ended questions allow respondents to answer in their own words. In a survey of airline users, Delta might simply ask, "What is your opinion of Delta Airlines?" Or it might ask people to complete a sentence: "When I choose an airline, the most important consideration is . . ." These and other kinds of open-ended questions often reveal more than closed-ended questions because respondents are not limited in their answers. Open-ended questions are especially useful in exploratory research, when the researcher is trying to find out what people think but not measuring how many people think in a certain way. Closed-ended questions, on the other hand, provide answers that are easier to interpret and tabulate.
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Researchers should also use care in the wording and ordering of questions. They should use simple, direct, unbiased wording. Questions should be arranged in a logical order. The first question should create interest if possible, and difficult or personal questions should be asked last so that respondents do not become defensive. A carelessly prepared questionnaire usually contains many errors (see Table 5.5).
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Although questionnaires are the most common research instrument, researchers also use mechanical instruments to monitor consumer behavior, such as supermarket scanners and people meters. Other mechanical devices measure subjects' physical responses. For example, a galvanometer detects the minute degree of sweating that accompanies emotional arousal. It can be used to measure the strength of interest or emotions aroused by a subject's exposure to marketing stimuli such as an ad or product. Eye cameras are used to study respondents' eye movements to determine at what points their eyes focus first and how long they linger on a given item. Here are examples of new technologies that capture information on consumers' emotional and physical responses:
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 TABLE 5.5 A "Questionable Questionnaire" 

Suppose that a summer camp director had prepared the following questionnaire to use in interviewing the parents of prospective campers. How would you assess each question?

  1. What is your income to the nearest hundred dollars? People don't usually know their income to the nearest hundred dollars, nor do they want to reveal their income that closely. Moreover, a researcher should never open a questionnaire with such a personal question.

  2. Are you a strong or weak supporter of overnight summer camping for your children? What do "strong" and "weak" mean?

  3. Do your children behave themselves well at a summer camp? Yes () No () "Behave" is a relative term. Furthermore, are yes and no the best response options for this question? Besides, will people answer this honestly and objectively? Why ask the question in the first place?

  4. How many camps mailed literature to you last year? This year? Who can remember this?

  5. What are the most salient and determinant attributes in your evaluation of summer camps? What are salient and determinant attributes? Don't use big words on me!

  6. Do you think it is right to deprive your child of the opportunity to grow into a mature person through the experience of summer camping? A loaded question. Given the bias, how can any parent answer yes?
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Machine response to facial expressions that indicate emotions will soon be a commercial reality. The technology discovers underlying emotions by capturing an image of a user's facial features and movements—especially around the eyes and mouth—and comparing the image against facial feature templates in a database. Hence, an elderly man squints at an ATM screen and the font size doubles almost instantly. A woman at a shopping center kiosk smiles at a travel ad, prompting the device to print out a travel discount coupon. Several users at another kiosk frown at a racy ad, leading a store to pull it.
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IBM is perfecting an "emotion mouse" that will figure out users' emotional states by measuring pulse, temperature, movement, and galvanic skin response. The company has mapped those measurements for anger, fear, sadness, disgust, happiness, and surprise. The idea is to create a style that fits a user's personality. An Internet marketer, for example, might offer to present a different kind of display if it senses that the user is frustrated.
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Implementing the Research Plan

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The researcher next puts the marketing research plan into action. This involves collecting, processing, and analyzing the information. Data collection can be carried out by the company's marketing research staff or by outside firms. The data collection phase of the marketing research process is generally the most expensive and the most subject to error. Researchers should watch closely to make sure that the plan is implemented correctly. They must guard against problems with contacting respondents, with respondents who refuse to cooperate or who give biased answers, and with interviewers who make mistakes or take shortcuts.
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Researchers must process and analyze the collected data to isolate important information and findings. They need to check data for accuracy and completeness and code it for analysis. The researchers then tabulate the results and compute averages and other statistical measures.
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Interpreting and Reporting the Findings

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The market researcher must now interpret the findings, draw conclusions, and report them to management. The researcher should not try to overwhelm managers with numbers and fancy statistical techniques. Rather, the researcher should present important findings that are useful in making the major decisions faced by management.
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However, interpretation should not be left only to the researchers. They are often experts in research design and statistics, but the marketing manager knows more about the problem and the decisions that must be made. The best research is meaningless if the manager blindly accepts faulty interpretations from the researcher. Similarly, managers may be biased—they might tend to accept research results that show what they expected and to reject those that they did not expect or hope for. In many cases, findings can be interpreted in different ways, and discussions between researchers and managers will help point to the best interpretations. Thus, managers and researchers must work together closely when interpreting research results, and both must share responsibility for the research process and resulting decisions.
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