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Price Discrimination in the Information Age: Prices, Poaching, and Privacy with Personalized Targeted Discounts

Author

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  • Simon Anderson
  • Alicia Baik
  • Nathan Larson

Abstract

We study list price competition when firms can individually target consumer discounts (at a cost) afterwards, and we address recent privacy regulation (like the GDPR) allowing consumers to choose whether to opt-in to targeting. Targeted consumers receive poaching and retention discount offers. Equilibrium discount offers are in mixed strategies, but only two firms vie for each contested consumer and final profits on them are Bertrand-like. When targeting is unrestricted, firm list pricing resembles monopoly. For plausible demand conditions and if targeting costs are not too low, firms and consumers are worse off with unrestricted targeting than banning it. However, targeting induces higher (lower) list prices if demand is convex (concave), and either side of the market can benefit if list prices shift enough in its favour. Given the choice, consumers opt in only when expected discounts exceed privacy costs. Under empirically plausible conditions, opt-in choice makes all consumers better off.

Suggested Citation

  • Simon Anderson & Alicia Baik & Nathan Larson, 2023. "Price Discrimination in the Information Age: Prices, Poaching, and Privacy with Personalized Targeted Discounts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2085-2115.
  • Handle: RePEc:oup:restud:v:90:y:2023:i:5:p:2085-2115.
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    File URL: http://hdl.handle.net/10.1093/restud/rdac073
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    Cited by:

    1. Junbao Li & Chengying He & Zhanzhong Shi, 2025. "Platform search design with heterogeneous consumers," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    2. 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.
    3. Laussel, Didier & Long, Ngo Van & Resende, Joana, 2019. "The Curse of Knowledge: Having Access to Customer Information Can be Detrimental to Monopoly’s Profit," Discussion paper series HIAS-E-93, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    4. Garella, Paolo G. & Laussel, Didier & Resende, Joana, 2021. "Behavior based price personalization under vertical product differentiation," International Journal of Industrial Organization, Elsevier, vol. 76(C).
    5. Delbono, Flavio & Reggiani, Carlo & Sandrini, Luca, 2024. "Strategic data sales with partial segment profiling," Information Economics and Policy, Elsevier, vol. 68(C).
    6. Didier Laussel & Ngo Van Long & Joana Resende, 2023. "Profit Effects of Consumers’ Identity Management: A Dynamic Model," Management Science, INFORMS, vol. 69(6), pages 3602-3615, June.
    7. Didier Laussel & Joana Resende, 2022. "When Is Product Personalization Profit-Enhancing? A Behavior-Based Discrimination Model," Management Science, INFORMS, vol. 68(12), pages 8872-8888, December.
    8. Didier Laussel & Ngo V. Long & Joana Resende, 2020. "The curse of knowledge: having access to customer information can reduce monopoly profits," RAND Journal of Economics, RAND Corporation, vol. 51(3), pages 650-675, September.
    9. Didier Laussel & Joana Resende, 2022. "When Is Product Personalization Profit-Enhancing? A Behavior-Based Discrimination Model," Post-Print hal-03740642, HAL.
    10. Qiuyu Lu & Noriaki Matsushima, 2024. "Personalized Pricing When Consumers Can Purchase Multiple Items," Journal of Industrial Economics, Wiley Blackwell, vol. 72(4), pages 1507-1524, December.
    11. Pape, Louis-Daniel & Helmers, Christian & Iaria, Alessandro & Wagner, Stefan & Runge, Julian, 2025. "Personalized content, engagement, and monetization in a mobile puzzle game," International Journal of Industrial Organization, Elsevier, vol. 98(C).
    12. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2019. "Exclusive Data, Price Manipulation and Market Leadership," CESifo Working Paper Series 7853, CESifo.
    13. Laussel, Didier & Long, Ngo Van & Resende, Joana, 2020. "Quality and price personalization under customer recognition: A dynamic monopoly model with contrasting equilibria," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    14. Stefano Colombo & Paolo G. Garella & Noriaki Matsushima, 2023. "Strategic anonymity and behavior-based pricing," ISER Discussion Paper 1219, Institute of Social and Economic Research, The University of Osaka.
    15. Heiny, Friederike & Li, Tianchi & Tolksdorf, Michel, 2025. "We value your privacy: Behavior-based pricing under endogenous privacy," VfS Annual Conference 2025 (Cologne): Revival of Industrial Policy 325415, Verein für Socialpolitik / German Economic Association.
    16. Peng Xu & Yibing Wang & Qin Zhang, 2025. "Personalized Pricing of an e‐Tailer in the Presence of Identity Management," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(5), pages 3226-3243, July.
    17. Matveenko, Andrei & Starkov, Egor, 2023. "Sparking curiosity or tipping the scales? Targeted advertising with consumer learning," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 172-192.

    More about this item

    Keywords

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    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

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