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Brand Loyalty Programs: Are They Shams?

Author

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  • Steven M. Shugan

    (Warrington College of Business, University of Florida, 201 Bryan Hall, Box 117155, Gainesville, Florida 32611)

Abstract

Brand loyalty and the more modern topics of computing customer lifetime value and structuring loyalty programs remain the focal point for a remarkable number of research articles. At first, this research appears consistent with firm practices. However, close scrutiny reveals disaffirming evidence. Many current so-called loyalty programs appear unrelated to the cultivation of customer brand loyalty and the creation of customer assets. True investments are up-front expenditures that produce much greater future returns. In contrast, many so-called loyalty programs are shams because they produce liabilities (e.g., promises of future rewards or deferred rebates) rather than assets. These programs produce short-term revenue from customers while producing substantial future obligations to those customers. Rather than showing trust by committing to the customer, the firm asks the customer to trust the firm—that is, trust that future rewards are indeed forthcoming. The entire idea is antithetical to the concept of a customer asset. Many modern loyalty programs resemble old-fashioned trading stamps or deferred rebates that promise future benefits for current patronage. A true loyalty program invests in the customer (e.g., provides free up-front training, allows familiarization or customization) with the expectation of greater future revenue. Alternative motives for extant programs are discussed.

Suggested Citation

  • Steven M. Shugan, 2005. "Brand Loyalty Programs: Are They Shams?," Marketing Science, INFORMS, vol. 24(2), pages 185-193.
  • Handle: RePEc:inm:ormksc:v:24:y:2005:i:2:p:185-193
    DOI: 10.1287/mksc.1050.0124
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    1. Peter J. Danaher & Isaac W. Wilson & Robert A. Davis, 2003. "A Comparison of Online and Offline Consumer Brand Loyalty," Marketing Science, INFORMS, vol. 22(4), pages 461-476, February.
    2. Steven M. Shugan, 2004. "The Impact of Advancing Technology on Marketing and Academic Research," Marketing Science, INFORMS, vol. 23(4), pages 469-475.
    3. Byung-Do Kim & Mengze Shi & Kannan Srinivasan, 2001. "Reward Programs and Tacit Collusion," Marketing Science, INFORMS, vol. 20(2), pages 99-120, June.
    4. Kapil Bawa & Robert Shoemaker, 2004. "The Effects of Free Sample Promotions on Incremental Brand Sales," Marketing Science, INFORMS, vol. 23(3), pages 345-363, November.
    5. Bolton, R.N. & Lemo, K.N. & Verhoef, P.C., 2002. "The Theoretical Underpinnings of Customer Asset Management," ERIM Report Series Research in Management ERS-2002-80-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. J. Miguel Villas-Boas, 2004. "Consumer Learning, Brand Loyalty, and Competition," Marketing Science, INFORMS, vol. 23(1), pages 134-145, December.
    7. Richard B. Maffei, 1960. "Brand Preferences and Simple Markov Processes," Operations Research, INFORMS, vol. 8(2), pages 210-218, April.
    8. Baohong Sun & Jinhong Xie & H. Henry Cao, 2004. "Product Strategy for Innovators in Markets with Network Effects," Marketing Science, INFORMS, vol. 23(2), pages 243-254, October.
    9. Eyal Biyalogorsky & Eitan Gerstner & Barak Libai, 2001. "Customer Referral Management: Optimal Reward Programs," Marketing Science, INFORMS, vol. 20(1), pages 82-95, August.
    10. Spulber, Daniel F, 1984. "Competition and Multiplant Monopoly with Spatial Nonlinear Pricing," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(2), pages 425-439, June.
    11. Alan L. Montgomery & Shibo Li & Kannan Srinivasan & John C. Liechty, 2004. "Modeling Online Browsing and Path Analysis Using Clickstream Data," Marketing Science, INFORMS, vol. 23(4), pages 579-595, November.
    12. Nitin Mehta & Surendra Rajiv & Kannan Srinivasan, 2003. "Price Uncertainty and Consumer Search: A Structural Model of Consideration Set Formation," Marketing Science, INFORMS, vol. 22(1), pages 58-84, June.
    13. Jie Zhang & Lakshman Krishnamurthi, 2004. "Customizing Promotions in Online Stores," Marketing Science, INFORMS, vol. 23(4), pages 561-578, June.
    14. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    15. Ran Kivetz, 2003. "The Effects of Effort and Intrinsic Motivation on Risky Choice," Marketing Science, INFORMS, vol. 22(4), pages 477-502, December.
    16. P. B. Seetharaman, 2004. "Modeling Multiple Sources of State Dependence in Random Utility Models: A Distributed Lag Approach," Marketing Science, INFORMS, vol. 23(2), pages 263-271, April.
    17. John R. Hauser & Duncan I. Simester & Birger Wernerfelt, 1994. "Customer Satisfaction Incentives," Marketing Science, INFORMS, vol. 13(4), pages 327-350.
    18. Otto A. Davis, 1959. "The Economics of Trading Stamps," The Journal of Business, University of Chicago Press, vol. 32, pages 141-141.
    19. Roland T. Rust & J. Jeffrey Inman & Jianmin Jia & Anthony Zahorik, 1999. "What You Know About Customer-Perceived Quality: The Role of Customer Expectation Distributions," Marketing Science, INFORMS, vol. 18(1), pages 77-92.
    20. Shugan, Steven M, 1980. "The Cost of Thinking," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(2), pages 99-111, Se.
    21. Birger Wernerfelt, 1991. "Brand Loyalty and Market Equilibrium," Marketing Science, INFORMS, vol. 10(3), pages 229-245.
    22. Christophe Van den Bulte & Stefan Stremersch, 2004. "Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test," Marketing Science, INFORMS, vol. 23(4), pages 530-544, July.
    23. van den Bulte, C. & Stremersch, S., 2003. "Contagion and heterogeneity in new product diffusion: An emperical test," ERIM Report Series Research in Management ERS-2003-077-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    24. John R. Hauser & Glen L. Urban, 1977. "A Normative Methodology for Modeling Consumer Response to Innovation," Operations Research, INFORMS, vol. 25(4), pages 579-619, August.
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