Platform data rules shape seller profits and consumer prices
The Source of Data Value: Consumer Disclosure, Access Design, and Platform Monetization
Computer Science and Game Theory
Summary
Digital marketplaces often sell data to sellers to help them compete or avoid losing sales to better-informed rivals. This paper analyzes how rules about what data consumers must disclose affect how platforms share data and make money. The authors find that if data collection is mandatory, platforms can profit even when it hurts sellers' sales; but if data is voluntary and privacy matters, sellers might reject data, limiting platform profits. They also show that giving all sellers equal access to data changes incentives and can impact consumer prices and overall market welfare.
What this means in practice
- •For platform product managers: Design data services for sellers considering both revenue boosts and sellers’ likelihood to reject data offers under privacy constraints.
- •For regulators and policymakers: Distinguish rules that mandate equal access to consumer data from those that give consumers control, to better oversee platform pricing and privacy impacts.
A theory result. No direct application yet.
Authors
Hexiao Liu, Lijian Lu, Mingzheng Wang
Abstract
Digital marketplaces increasingly earn revenue from transaction commissions and seller-facing data services. Sellers may purchase data to increase revenue or avoid competing with an informed rival. We examine how consumer disclosure rights shape these motives and the platform's incentive to provide data. We develop a game-theoretic model of a commissioned platform, two differentiated sellers, and privacy-sensitive consumers. Data generates value through bilateral sales-revenue gains and competition threats arising from asymmetric access. Under mandatory collection, the platform can monetize defensive adoption, even when bilateral personalization reduces seller revenue. Under voluntary disclosure, anonymous purchasing and strictly positive privacy costs make unilateral disclosure unattractive in the baseline. Exclusive access thus yields no usable information, restores sellers' no-data rejection payoffs, and eliminates defensive fees. Profitable provision therefore requires nonnegative bilateral revenue gains. Under full fee extraction, sellers retain their no-data net profits. This revenue alignment does not guarantee welfare gains: additional transactions may benefit consumers, whereas segmentation in an already covered market can raise anonymous prices and reduce welfare. Capping anonymous offers at their no-data benchmark protects individual consumers and limits positive-mass provision to the transaction-creation region. Extensions consider access choice, heterogeneous privacy costs, imperfect identification, and limited contractual credibility. Platforms should evaluate data services based on both bilateral-use and seller-rejection outcomes, and sellers should distinguish revenue-enhancing from defensive investments. Regulators should distinguish equal-access rules from effective consumer control and monitor pricing in anonymous channels.