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The Impact Of Promotion And Advertising: A Latent Class Approach

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  • Richards, Timothy J.

Abstract

Typically, marketers define market segments by their demographic characteristics, assuming that these segments represent consumers with relatively homogeneous buying patterns. A more managerially useful definition, however, groups consumers of similar behavior directly and then seeks to find demographic commonalities among them. This study uses a latent class analysis technique to segment consumers based on their responsiveness to a set of marketing variables, finding that a multiple-segment model provides a better fit to the data, and that these segments differ significantly in their responsiveness. By targeting marketing activities to their most responsive segments, the efficiency of commodity promotion can be dramatically improved.

Suggested Citation

  • Richards, Timothy J., 2000. "The Impact Of Promotion And Advertising: A Latent Class Approach," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(3), pages 1-17, December.
    • Handle: RePEc:ags:joaaec:15307
    DOI: 10.22004/ag.econ.15307
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    References listed on IDEAS

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    1. Randolph E. Bucklin & James M. Lattin, 1991. "A Two-State Model of Purchase Incidence and Brand Choice," Marketing Science, INFORMS, vol. 10(1), pages 24-39.
    2. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, January.
    3. Jonq-Ying Lee & Mark G. Brown & James L. Seale, 1992. "Demand Relationships Among Fresh Fruit and Juices in Canada," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 14(2), pages 255-262.
    4. Diansheng Dong & J.S. Shonkwiler & Oral Capps, 1998. "Estimation of Demand Functions Using Cross-Sectional Household Data: The Problem Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 466-473.
    5. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    6. Rishin Roy & Pradeep K. Chintagunta & Sudeep Haldar, 1996. "A Framework for Investigating Habits, “The Hand of the Past,” and Heterogeneity in Dynamic Brand Choice," Marketing Science, INFORMS, vol. 15(3), pages 280-299.
    7. Lakshman Krishnamurthi & S. P. Raj, 1991. "An Empirical Analysis of the Relationship Between Brand Loyalty and Consumer Price Elasticity," Marketing Science, INFORMS, vol. 10(2), pages 172-183.
    8. George C. Davis & Michael K. Wohlgenant, 1993. "Demand Elasticities from a Discrete Choice Model: The Natural Christmas Tree Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 730-738.
    9. Manrai, Ajay K., 1995. "Mathematical models of brand choice behavior," European Journal of Operational Research, Elsevier, vol. 82(1), pages 1-17, April.
    10. William R. Dillon & Sunil Gupta, 1996. "A Segment-Level Model of Category Volume and Brand Choice," Marketing Science, INFORMS, vol. 15(1), pages 38-59.
    11. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
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    Cited by:

    1. Durham, Catherine A. & Johnson, Aaron J. & McFetridge, Marc V., 2007. "Marketing-Management Impacts on Produce Sales," Journal of Food Distribution Research, Food Distribution Research Society, vol. 38(2), pages 1-17, July.
    2. McFetridge, Marc V. & Durham, Catherine A. & Johnson, Aaron J., 2006. "The Impact of Feature Flier Characteristics on Supermarket Fruit Demand," Journal of Food Distribution Research, Food Distribution Research Society, vol. 37(1), pages 1-2, March.

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