When Should E-Commerce Platforms Offer Data Services to Sellers? Data Analytics, Consumer Privacy, and Platform Competition

E-commerce platforms increasingly use consumer search, browsing, and transaction data to offer sellers data services for keyword optimization, product matching, and targeted marketing. These services improve matching efficiency, but the use of consumer data may heighten privacy concerns and reshape participation on both market sides. We examine when a platform should offer such services under competition. We develop a game-theoretic Hotelling model of two competing two-sided platforms with cross-side network effects, seller entry fees, heterogeneous consumer privacy sensitivity, and inherent search-matching capability. We analyze no provision, unilateral provision, and symmetric provision, and characterize platforms’ equilibrium adoption decisions. The results show that offering data services does not necessarily create a competitive advantage. The provider can attract more sellers and earn more than its rival while serving fewer consumers. Such relative advantages can coexist with lower profits than when neither platform offers data services. When the privacy-sensitive segment is large, offering data services reduces the provider’s profit and may benefit its non-offering rival. Moreover, unilateral provision cannot benefit both platforms simultaneously and may harm both. Symmetric provision intensifies seller entry-fee competition and lowers both platforms’ profits relative to no provision. When the proportion of privacy-sensitive consumers is low, symmetric provision is the unique equilibrium and it exhibits a prisoner’s dilemma; while this proportion is moderate, unilateral provision by either platform is a pure-strategy equilibrium; when it is high, neither platform offering data services is the unique equilibrium. These findings identify consumer privacy sensitivity and inherent matching capability as important boundary conditions for platform data-service and seller entry-fee strategies.