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122       Part 2  |  Marketing Research and Target Markets



                                                   To select a segmentation variable, marketers consider several factors. The segmentation
                                          variable should relate to customers’ needs for, uses of, or behavior toward the product. It
                                          is likely a television marketer will segment television viewers for primetime television by
                                          income and age but not by religion, for example, because people’s television viewing does
                                          not vary much because of religion. Marketers must select measurable segmentation variables,
                                          such as age, location, or gender, if individuals or organizations in a total market are to be clas-
                                          sifi ed accurately.
                                               There is no best way to segment markets, and the approach will vary depending on a num-
                                          ber of factors. A company’s resources and capabilities affect the number and size of segment
                                          variables used. The type of product and degree of variation in customers’ needs also dictate
                                          the number and size of segments targeted. No matter what approach is used, choosing one or
                                          more segmentation variables is a critical step in effectively targeting a market. Selecting an
                                          inappropriate variable limits the chances of developing a successful marketing strategy. To
                                          help you better understand potential segmentation variables, we next examine the differences
                                          between the major variables used to segment consumer and business markets.

                                                  Variables for Segmenting Consumer Markets

                                             A marketer that is using segmentation to reach a consumer market can choose one or several
                                          variables. As   Figure 5.3    shows, segmentation variables can be grouped into four major catego-
                                          ries: demographic, geographic, psychographic, and behavioristic.

                                               Demographic Variables

                                             Demographers study aggregate population characteristics such as the distribution of age and
                                          gender, fertility rates, migration patterns, and mortality rates. Demographic characteristics
                                          that marketers commonly use include age, gender, race, ethnicity, income, education, occupa-
                                          tion, family size, family life cycle, religion, and social class. Marketers segment markets by
                                          demographic characteristics because they are often closely linked to customers’ needs and
                                          purchasing behaviors and can be readily measured.




                                           Figure  5.3    Segmentation Variables for Consumer Markets



                                            Demographic variables                Geographic variables
                                            • Age        • Occupation            • Region         • State size
                                            • Gender     • Family size           • Urban, suburban,  • Market density
                                            • Race       •  Family life cycle     rural           • Climate
                                            • Ethnicity  • Religion              • City size      • Terrain
                                            • Income     • Social class          • County size
                                            • Education


                                            Psychographic variables              Behavioristic variables
                                            • Personality attributes             • Volume usage
                                            • Motives                            • End use
                                            • Lifestyles                         • Benefit expectations
                                                                                 • Brand loyalty
                                                                                 • Price sensitivity




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