IDEAS home Printed from https://ideas.repec.org/p/zbw/dicedp/117.html
   My bibliography  Save this paper

Consumer flexibility, data quality and targeted pricing

Author

Listed:
  • Sapi, Geza
  • Suleymanova, Irina

Abstract

We investigate how firms' incentives to acquire customer data for targeted offers depend on its quality. A two-dimensional Hotelling model is proposed where consumers are heterogeneous both with respect to their locations and transportation cost parameters (flexibility). Firms have perfect data on the locations of consumers while data on their flexibility is imperfect. When consumers are relatively homogeneous in their flexibility, in equilibrium both firms acquire customer data regardless of its quality. This increases profits but harms consumers. When consumers are relatively differentiated in flexibility, data acquisition incentives depend on its quality. Only if the data is sufficiently precise, both firms acquire it and their profits decrease, while consumers are better-off. Our model has particular relevance for location-based marketing such as in mobile telephony, where firms have near-perfect information on the proximity of customers but may have imperfect knowledge of other consumer characteristics.

Suggested Citation

  • Sapi, Geza & Suleymanova, Irina, 2013. "Consumer flexibility, data quality and targeted pricing," DICE Discussion Papers 117, University of Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  • Handle: RePEc:zbw:dicedp:117
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/88095/1/772154481.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Kenneth S. Corts, 1998. "Third-Degree Price Discrimination in Oligopoly: All-Out Competition and Strategic Commitment," RAND Journal of Economics, The RAND Corporation, vol. 29(2), pages 306-323, Summer.
    2. Greg Shaffer & Z. John Zhang, 2002. "Competitive One-to-One Promotions," Management Science, INFORMS, vol. 48(9), pages 1143-1160, September.
    3. 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.
    4. Greg Shaffer & Z. John Zhang, 1995. "Competitive Coupon Targeting," Marketing Science, INFORMS, vol. 14(4), pages 395-416.
    5. David Besanko & Jean-Pierre Dubé & Sachin Gupta, 2003. "Competitive Price Discrimination Strategies in a Vertical Channel Using Aggregate Retail Data," Management Science, INFORMS, vol. 49(9), pages 1121-1138, September.
    6. Liu, Qihong & Shuai, Jie, 2013. "Multi-dimensional price discrimination," International Journal of Industrial Organization, Elsevier, vol. 31(5), pages 417-428.
    7. Bester, Helmut & Petrakis, Emmanuel, 1996. "Coupons and oligopolistic price discrimination," International Journal of Industrial Organization, Elsevier, vol. 14(2), pages 227-242.
    8. 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.
    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. 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.
    11. Severin Borenstein, 1985. "Price Discrimination in Free-Entry Markets," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 380-397, Autumn.
    12. Shaffer, G. & Zhang, Z.J., 1994. "Competitive Coupon Targeting," Papers 94-02, Michigan - Center for Research on Economic & Social Theory.
    13. 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.
    14. 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. Irina Baye & Irina Hasnas, 2017. "Consumer flexibility, data quality and location choice," Journal of Economics, Springer, vol. 120(2), pages 135-169, March.
    2. Hasnas, Irina, 2014. "A note on consumer flexibility, data quality and collusion," DICE Discussion Papers 140, University of Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    3. Baye, Irina & Hasnas, Irina, 2014. "Consumer flexibility, data quality and location choice," DICE Discussion Papers 139, University of Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

    More about this item

    Keywords

    Price Discrimination; Customer Data; Market Segmentation;

    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:117. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics). General contact details of provider: http://edirc.repec.org/data/diduede.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.