Selling Data to a Competitor
Ronen Gradwohl, Moshe Tennenholtz

TL;DR
This paper analyzes the strategic selling of consumer data to competitors, revealing mechanisms that can improve profits for firms while also increasing consumer welfare through Pareto improvements and consumer opt-in strategies.
Contribution
It introduces new data selling mechanisms that benefit both firms and consumers, and demonstrates how consumer opt-in can promote Pareto improvements.
Findings
Certain mechanisms increase both firm profits and consumer welfare.
Selling all consumer data may reduce total profits.
Consumer opt-in can incentivize firms to adopt Pareto-improving strategies.
Abstract
We study the costs and benefits of selling data to a competitor. Although selling all consumers' data may decrease total firm profits, there exist other selling mechanisms -- in which only some consumers' data is sold -- that render both firms better off. We identify the profit-maximizing mechanism, and show that the benefit to firms comes at a cost to consumers. We then construct Pareto-improving mechanisms, in which each consumers' welfare, as well as both firms' profits, increase. Finally, we show that consumer opt-in can serve as an instrument to induce firms to choose a Pareto-improving mechanism over a profit-maximizing one.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAuction Theory and Applications · Consumer Market Behavior and Pricing · Experimental Behavioral Economics Studies
