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Purchase History and Product Personalization

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. Green open access

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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.

Type: Proceedings paper
Title: Purchase History and Product Personalization
Event: EC '23: 24th ACM Conference on Economics and Computation
ISBN-13: 9798400701047
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3580507.3597683
Publisher version: http://dx.doi.org/10.1145/3580507.3597683
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Mechanism design; limited commitment; information design; privacy
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Economics
URI: https://discovery.ucl.ac.uk/id/eprint/10185610
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