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Data Tracking Under Competition

Author

Listed:
  • Kostas Bimpikis

    (Graduate School of Business, Stanford University, Stanford, California 94305)

  • Ilan Morgenstern

    (Graduate School of Business, Stanford University, Stanford, California 94305)

  • Daniela Saban

    (Graduate School of Business, Stanford University, Stanford, California 94305)

Abstract

We explore the welfare implications of data-tracking technologies that enable firms to collect consumer data and use it for price discrimination. The model we develop centers around two features: competition between firms and consumers’ level of sophistication. Our baseline environment features a firm that can collect information about the consumers it transacts with in a duopoly market, which it can then use in a second, monopoly market. We characterize and compare the equilibrium outcomes in three settings: (i) an economy with myopic consumers, who, when making purchase decisions, do not internalize the fact that firms track their behavior and use this information in future transactions; (ii) an economy with forward-looking consumers, who take into account the implications of data tracking when determining their actions; and (iii) an economy where no data-tracking technologies are used due to technological or regulatory constraints. We find that the absence of data tracking may lead to a decrease in consumer surplus, even when consumers are myopic. Importantly, this result relies critically on competition : Consumer surplus may be higher when data-tracking technologies are used only when multiple firms offer substitutable products.

Suggested Citation

  • Kostas Bimpikis & Ilan Morgenstern & Daniela Saban, 2024. "Data Tracking Under Competition," Operations Research, INFORMS, vol. 72(2), pages 514-532, March.
  • Handle: RePEc:inm:oropre:v:72:y:2024:i:2:p:514-532
    DOI: 10.1287/opre.2023.2489
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