IDEAS home Printed from https://ideas.repec.org/p/zbw/dicedp/131.html
   My bibliography  Save this paper

Targeted pricing, consumer myopia and investment in customer-tracking technology

Author

Listed:
  • Baye, Irina
  • Sapi, Geza

Abstract

We analyze how consumer myopia influences investment incentives into a technology that enables firms to track consumers' purchases and make targeted offers based on their preferences. In a two-period Hotelling setup firms may invest in customer-tracking technology. If a firm acquires the technology, it can practice first-degree price discrimination among consumers that bought from it in the first period. We distinguish between the cases of all consumers being myopic and when they are sophisticated. In equilibrium firms collect customer data only when consumers are myopic. In that case two asymmetric equilibria emerge, with either one firm investing in customer-tracking technology. We derive several surprising results for consumer policy: First, contrary to conventional wisdom, firms are better-off when consumers are sophisticated. Second, consumers may be better-off being myopic than sophisticated, provided they are sufficiently patient (the discount factor is high enough). Third, in the latter case there is a tension between consumer and social welfare, and correspondingly between consumer and other policies: With myopic consumers, banning customer-tracking would increase social welfare, but may reduce consumer surplus.

Suggested Citation

  • Baye, Irina & Sapi, Geza, 2014. "Targeted pricing, consumer myopia and investment in customer-tracking technology," DICE Discussion Papers 131, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  • Handle: RePEc:zbw:dicedp:131
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/93032/1/779259637.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qihong Liu & Konstantinos Serfes, 2004. "Quality of Information and Oligopolistic Price Discrimination," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 13(4), pages 671-702, December.
    2. Yuxin Chen & Ganesh Iyer, 2002. "Research Note Consumer Addressability and Customized Pricing," Marketing Science, INFORMS, vol. 21(2), pages 197-208, November.
    3. 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.
    4. Drew Fudenberg & Jean Tirole, 2000. "Customer Poaching and Brand Switching," RAND Journal of Economics, The RAND Corporation, vol. 31(4), pages 634-657, Winter.
    5. Shaffer, G. & Zhang, Z.J., 1994. "Competitive Coupon Targeting," Papers 94-02, Michigan - Center for Research on Economic & Social Theory.
    6. Xavier Gabaix & David Laibson, 2018. "Shrouded attributes, consumer myopia and information suppression in competitive markets," Chapters, in: Victor J. Tremblay & Elizabeth Schroeder & Carol Horton Tremblay (ed.), Handbook of Behavioral Industrial Organization, chapter 3, pages 40-74, Edward Elgar Publishing.
    7. Bester, Helmut & Petrakis, Emmanuel, 1996. "Coupons and oligopolistic price discrimination," International Journal of Industrial Organization, Elsevier, vol. 14(2), pages 227-242.
    8. Kfir Eliaz & Ran Spiegler, 2011. "Consideration Sets and Competitive Marketing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 235-262.
    9. Benjamin Reed Shiller, 2013. "First Degree Price Discrimination Using Big Data," Working Papers 58, Brandeis University, Department of Economics and International Business School, revised Jan 2014.
    10. Greg Shaffer & Z. John Zhang, 2002. "Competitive One-to-One Promotions," Management Science, INFORMS, vol. 48(9), pages 1143-1160, September.
    11. Paul Klemperer, 1995. "Competition when Consumers have Switching Costs: An Overview with Applications to Industrial Organization, Macroeconomics, and International Trade," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(4), pages 515-539.
    12. Greg Shaffer & Z. John Zhang, 1995. "Competitive Coupon Targeting," Marketing Science, INFORMS, vol. 14(4), pages 395-416.
    13. Greg Shaffer & Z. John Zhang, 2000. "Pay to Switch or Pay to Stay: Preference‐Based Price Discrimination in Markets with Switching Costs," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 9(3), pages 397-424, June.
    14. Liu, Qihong & Serfes, Konstantinos, 2006. "Customer information sharing among rival firms," European Economic Review, Elsevier, vol. 50(6), pages 1571-1600, August.
    15. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian Trudeau & Zheng Wang, 2015. "Help us to help you: how consumer data can alter quality races," Working Papers 1501, University of Windsor, Department of Economics.
    2. Wan, Qin & Yang, Shilei & Shi, Victor & Qiu, Martin, 2021. "Optimal strategies of mobile targeting promotion under competition," International Journal of Production Economics, Elsevier, vol. 237(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Irina Baye & Geza Sapi, 2020. "Consumer foresight, customer data, and investment in targeting technology," Scottish Journal of Political Economy, Scottish Economic Society, vol. 67(4), pages 363-386, September.
    2. Baye, Irina & Reiz, Tim & Sapi, Geza, 2018. "Customer recognition and mobile geo-targeting," DICE Discussion Papers 285, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    3. Jentzsch, Nicola & Sapi, Geza & Suleymanova, Irina, 2013. "Targeted pricing and customer data sharing among rivals," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 131-144.
    4. Neeraj Arora & Xavier Dreze & Anindya Ghose & James Hess & Raghuram Iyengar & Bing Jing & Yogesh Joshi & V. Kumar & Nicholas Lurie & Scott Neslin & S. Sajeesh & Meng Su & Niladri Syam & Jacquelyn Thom, 2008. "Putting one-to-one marketing to work: Personalization, customization, and choice," Marketing Letters, Springer, vol. 19(3), pages 305-321, December.
    5. Flavio Pino, 2022. "The microeconomics of data – a survey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 635-665, September.
    6. Sapi, Geza & Suleymanova, Irina, 2013. "Consumer flexibility, data quality and targeted pricing," DICE Discussion Papers 117, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    7. Toshihiro Matsumura & Noriaki Matsushima, 2015. "Should Firms Employ Personalized Pricing?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 24(4), pages 887-903, October.
    8. B. P. S. Murthi & Sumit Sarkar, 2003. "The Role of the Management Sciences in Research on Personalization," Management Science, INFORMS, vol. 49(10), pages 1344-1362, October.
    9. Liu, Qihong & Serfes, Konstantinos, 2005. "Imperfect price discrimination in a vertical differentiation model," International Journal of Industrial Organization, Elsevier, vol. 23(5-6), pages 341-354, June.
    10. Esteves, Rosa-Branca, 2010. "Pricing with customer recognition," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 669-681, November.
    11. Belleflamme,Paul & Peitz,Martin, 2015. "Industrial Organization," Cambridge Books, Cambridge University Press, number 9781107687899.
    12. 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.
    13. Vincent Conitzer & Curtis R. Taylor & Liad Wagman, 2012. "Hide and Seek: Costly Consumer Privacy in a Market with Repeat Purchases," Marketing Science, INFORMS, vol. 31(2), pages 277-292, March.
    14. Liu, Qihong & Serfes, Konstantinos, 2006. "Customer information sharing among rival firms," European Economic Review, Elsevier, vol. 50(6), pages 1571-1600, August.
    15. Stefano Colombo, 2018. "Behavior‐ and characteristic‐based price discrimination," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(2), pages 237-250, June.
    16. Chongwoo Choe & Jiajia Cong & Chengsi Wang, 2024. "Softening Competition Through Unilateral Sharing of Customer Data," Management Science, INFORMS, vol. 70(1), pages 526-543, January.
    17. Yunchuan Liu & Z. John Zhang, 2006. "Research Note—The Benefits of Personalized Pricing in a Channel," Marketing Science, INFORMS, vol. 25(1), pages 97-105, 01-02.
    18. Choe, Chongwoo & Matsushima, Noriaki & Tremblay, Mark J., 2022. "Behavior-based personalized pricing: When firms can share customer information," International Journal of Industrial Organization, Elsevier, vol. 82(C).
    19. Chongwoo Choe & Noriaki Matsushima & Mark J. Tremblay, 2020. "Behavior-Based Personalized Pricing: When Firms Can Share Customer Information," ISER Discussion Paper 1083, Institute of Social and Economic Research, Osaka University.
    20. Juanjuan Zhang, 2011. "The Perils of Behavior-Based Personalization," Marketing Science, INFORMS, vol. 30(1), pages 170-186, 01-02.

    More about this item

    Keywords

    Price Discrimination; Customer Data; Consumer Myopia;
    All these keywords.

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:dicedp:131. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/diduede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.