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Online Advertising, Data Sharing, and Consumer Control

Author

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  • Justin P. Johnson

    (Strategy & Business Economics, SC Johnson Graduate School of Management, Cornell University, Ithaca, New York 14853)

  • Thomas Jungbauer

    (Strategy & Business Economics, SC Johnson Graduate School of Management, Cornell University, Ithaca, New York 14853)

  • Marcel Preuss

    (Strategy & Business Economics, SC Johnson Graduate School of Management, Cornell University, Ithaca, New York 14853)

Abstract

Invoking a property rights approach, we examine how competition between advertising exchanges influences the targeting options that these exchanges make available to advertisers. When advertisers have strong property rights over data regarding consumers’ active purchase interests, competition between ad exchanges leads to too little sharing of data. This may harm consumers, who receive too few pertinent ads, and advertisers themselves can also be harmed due to a situation resembling a prisoner’s dilemma. We find that reallocating property rights to consumers, that is, giving them the right to opt out of tracking may also benefit consumers who allow tracking by altering the incentives of ad exchanges to offer improved targeting options. In addition, we show that initiatives by Apple and Google to limit third-party tracking and to introduce alternative tracking systems such as Google’s Topics might benefit consumers by weakening the data property rights of advertisers. Because more data are shared by default under such systems, this can be true even if these systems are less accurate than third-party tracking systems.

Suggested Citation

  • Justin P. Johnson & Thomas Jungbauer & Marcel Preuss, 2024. "Online Advertising, Data Sharing, and Consumer Control," Management Science, INFORMS, vol. 70(11), pages 7984-8002, November.
  • Handle: RePEc:inm:ormnsc:v:70:y:2024:i:11:p:7984-8002
    DOI: 10.1287/mnsc.2022.03385
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    References listed on IDEAS

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    1. Liao, Changhua & Lu, Qihui & Chen, Xiangfeng & Xie, Shenghao, 2025. "The impact of consumer data sharing on an e-tailer’s private label strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 200(C).
    2. Tommaso Bondi & Omid Rafieian & Yunfei (Jesse) Yao, 2026. "Privacy and Polarization: An Inference-Based Framework," Management Science, INFORMS, vol. 72(2), pages 1389-1409, February.
    3. Xuefeng Zhang & Ji Luo & Xiao Liu, 2025. "Differentiated Advertising, Heterogeneous Consumers and Suitable Design of Platform Merchant," Mathematics, MDPI, vol. 13(10), pages 1-32, May.
    4. Xi, Xuan & Zhang, Yulin & Goh, Mark, 2026. "User information control and its strategic implications for information strategies in digital businesses," European Journal of Operational Research, Elsevier, vol. 330(2), pages 608-626.

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