Doval, Laura; Skreta, Vasiliki; (2023) Purchase History and Product Personalization. In: EC '23: Proceedings of the 24th ACM Conference on Economics and Computation. (pp. p. 537). ACM (Association for Computing Machinery): New York, NY, USA.

Preview

Text pld-for-rand.pdf - Other Download (640kB) | Preview

Abstract

The trade-off between product personalization and price discrimination is at the center of the debate about the use of consumer data. Whereas firms use consumer data for product personalization, allowing the firm to better meet consumers' needs, consumer data in the form of purchase histories is also used for personalized pricing. Policy makers note that rich product lines may compensate for the costs of personalized pricing. Absent from this debate is that consumer data in the form of purchase histories is endogenously determined. On the one hand, the data is selected as it reflects the consumer's trade-off between a better product match and the costs of price discrimination. On the other hand, the firm designs which products the consumer can choose from, thereby controlling how informative purchase histories may be about the consumer's preferences.

Download activity - last month

Export as CSVXMLJSON

Download activity - last 12 months

Export as CSVJSONXML

Downloads by country - last 12 months

Export as CSVJSONXML

Archive Staff Only

View Item