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Superior Knowledge, Price Discrimination, and Customer Inspection

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  • Xi Li

    (Faculty of Business and Economics, University of Hong Kong, Hong Kong)

  • Zibin Xu

    (College of Business, City University of Hong Kong, Hong Kong)

Abstract

Firms in many industries obtain superior knowledge of customer preferences through industry experience or data analytics, whereas customers often need costly efforts to learn their match values. In this paper, we examine the situations under which a customer chooses whether to inspect upon observing her personalized price from a firm with superior knowledge. On the surface, it seems that the firm can use personalized prices to directly communicate the customers’ match value, and thus there is no need for customers to expend inspection efforts. However, we find that in equilibrium the firm may trick low-preference customers into overpaying more than their match value, even when the inspection cost is low. The opportunistic incentives induce customer suspicions, which may lead to excessive customer inspection that would be avoided if the firm were not capable of price discrimination. Therefore, personalized pricing cannot obviate customer inspection. Since inspection cost raises a deadweight loss in social welfare, public policies that prevent firms from price-discriminating against customers may benefit both firms and customers.

Suggested Citation

  • Xi Li & Zibin Xu, 2022. "Superior Knowledge, Price Discrimination, and Customer Inspection," Marketing Science, INFORMS, vol. 41(6), pages 1097-1117, November.
  • Handle: RePEc:inm:ormksc:v:41:y:2022:i:6:p:1097-1117
    DOI: 10.1287/mksc.2022.1355
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    References listed on IDEAS

    as
    1. In-Koo Cho & David M. Kreps, 1987. "Signaling Games and Stable Equilibria," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 179-221.
    2. Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
    3. Jiwoong Shin & K. Sudhir, 2010. "A Customer Management Dilemma: When Is It Profitable to Reward One's Own Customers?," Marketing Science, INFORMS, vol. 29(4), pages 671-689, 07-08.
    4. Ki-Eun Rhee & Raphael Thomadsen, 2017. "Behavior-Based Pricing in Vertically Differentiated Industries," Management Science, INFORMS, vol. 63(8), pages 2729-2740, August.
    5. Chen, Yuxin & Zhang, Z. John, 2009. "Dynamic targeted pricing with strategic consumers," International Journal of Industrial Organization, Elsevier, vol. 27(1), pages 43-50, January.
    6. K. Sridhar Moorthy, 1984. "Market Segmentation, Self-Selection, and Product Line Design," Marketing Science, INFORMS, vol. 3(4), pages 288-307.
    7. Thisse, Jacques-Francois & Vives, Xavier, 1988. "On the Strategic Choice of Spatial Price Policy," American Economic Review, American Economic Association, vol. 78(1), pages 122-137, March.
    8. Yuxin Chen & Xinxin Li & Monic Sun, 2017. "Competitive Mobile Geo Targeting," Marketing Science, INFORMS, vol. 36(5), pages 666-682, September.
    9. Shugan, Steven M, 1980. "The Cost of Thinking," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(2), pages 99-111, Se.
    10. Banks, Jeffrey S & Sobel, Joel, 1987. "Equilibrium Selection in Signaling Games," Econometrica, Econometric Society, vol. 55(3), pages 647-661, May.
    11. Liang Guo & Yue Wu, 2016. "Consumer deliberation and quality signaling," Quantitative Marketing and Economics (QME), Springer, vol. 14(3), pages 233-269, September.
    12. Liang Guo & Juanjuan Zhang, 2012. "Consumer Deliberation and Product Line Design," Marketing Science, INFORMS, vol. 31(6), pages 995-1007, November.
    13. Bing Jing, 2011. "Seller honesty and product line pricing," Quantitative Marketing and Economics (QME), Springer, vol. 9(4), pages 403-427, December.
    14. Luc Wathieu & Marco Bertini, 2007. "Price as a Stimulus to Think: The Case for Willful Overpricing," Marketing Science, INFORMS, vol. 26(1), pages 118-129, 01-02.
    15. Yuk-fai Fong, 2005. "When Do Experts Cheat and Whom Do They Target?," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 113-130, Spring.
    16. Xi Li & Yanzhi Li & Mengze Shi, 2019. "Managing Consumer Deliberations in a Decentralized Distribution Channel," Marketing Science, INFORMS, vol. 38(1), pages 170-190, January.
    17. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    18. Asher Wolinsky, 1993. "Competition in a Market for Informed Experts' Services," RAND Journal of Economics, The RAND Corporation, vol. 24(3), pages 380-398, Autumn.
    19. Yuxin Chen & Ganesh Iyer, 2002. "Research Note Consumer Addressability and Customized Pricing," Marketing Science, INFORMS, vol. 21(2), pages 197-208, November.
    20. Ming Hu & Xi Li & Mengze Shi, 2015. "Product and Pricing Decisions in Crowdfunding," Marketing Science, INFORMS, vol. 34(3), pages 331-345, May.
    21. Bita Hajihashemi & Amin Sayedi & Jeffrey D. Shulman, 2022. "The Perils of Personalized Pricing with Network Effects," Marketing Science, INFORMS, vol. 41(3), pages 477-500, May.
    22. Liang Guo, 2016. "Contextual Deliberation and Preference Construction," Management Science, INFORMS, vol. 62(10), pages 2977-2993, October.
    23. Zibin Xu & Anthony Dukes, 2019. "Product Line Design Under Preference Uncertainty Using Aggregate Consumer Data," Marketing Science, INFORMS, vol. 38(4), pages 669-689, July.
    24. Baojun Jiang & Jian Ni & Kannan Srinivasan, 2014. "Signaling Through Pricing by Service Providers with Social Preferences," Marketing Science, INFORMS, vol. 33(5), pages 641-654, September.
    25. Krista J. Li & Sanjay Jain, 2016. "Behavior-Based Pricing: An Analysis of the Impact of Peer-Induced Fairness," Management Science, INFORMS, vol. 62(9), pages 2705-2721, September.
    26. Xinyu Cao & Juanjuan Zhang, 2021. "Preference Learning and Demand Forecast," Marketing Science, INFORMS, vol. 40(1), pages 62-79, January.
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    Cited by:

    1. Xi Li & Xin (Shane) Wang & Barrie R. Nault, 2024. "Is Personalized Pricing Profitable When Firms Can Differentiate?," Management Science, INFORMS, vol. 70(7), pages 4184-4199, July.

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