To Partner or Not to Partner? The Partnership Between Platforms and Data Brokers in Two-Sided Markets

Xin Zhang (), Lihong Cheng (), Yugang Yu () and Yong Tan ()
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Xin Zhang: Anhui Provincial Key Laboratory of Digital Intelligence Supply Chain, International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, Anhui 230026, China
Lihong Cheng: Anhui Provincial Key Laboratory of Digital Intelligence Supply Chain, International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, Anhui 230026, China
Yugang Yu: Anhui Provincial Key Laboratory of Digital Intelligence Supply Chain, International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, Anhui 230026, China
Yong Tan: Michael G. Foster School of Business, University of Washington, Seattle, Washington 98195

Information Systems Research, 2025, vol. 36, issue 3, 1437-1460

Abstract: Data have become an important competitive asset, especially for online advertising platforms, leading to the emergence of a new data broker industry. Platforms can partner with data brokers to acquire external data to enhance their targeting capabilities, but this practice has stoked growing consumer privacy concerns. This study develops a game-theoretic model to examine the economic mechanism underlying the partnership between competing platforms and a data broker in a two-sided market. Interestingly, our analysis shows that increasing consumer privacy concerns caused by the data broker may encourage platforms to partner with the data broker rather than discourage them. The driving force is that, because of negative cross-side network effects from advertisers to consumers, increased privacy concerns can serve as a strategic lever to soften price competition on the advertiser side. However, when both platforms partner with the data broker, a prisoner’s dilemma may arise in equilibrium even when the data broker can greatly improve the targeting capabilities. We find that the platform-data broker partnership hurts consumer surplus when platforms adopt a pure ad-sponsored model without charging consumers, but it may benefit consumer surplus when platforms adopt a mixed model with ad-sponsored and subscription-based revenue. Moreover, our analysis indicates that platforms may not have incentives to adopt high levels of privacy protection and may instead adopt asymmetric privacy protection strategies, with one platform adopting high privacy protection and the other opting for low protection. A series of model extensions confirm the robustness of our key findings. We conclude with a discussion of managerial and policy implications.

Keywords: platforms; data brokers; platform-data broker partnership; privacy concerns; two-sided market (search for similar items in EconPapers)
Date: 2025
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