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Management Science
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Article . 2018 . Peer-reviewed
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Competitive Personalized Pricing

Authors: Zhijun Chen; Chongwoo Choe; Noriaki Matsushima;

Competitive Personalized Pricing

Abstract

We study a model where each competing firm has a target segment where it has full consumer information and can exercise personalized pricing, and consumers may engage in identity management to bypass the firm’s attempt to price discriminate. In the absence of identity management, more consumer information intensifies competition because firms can effectively defend their turf through targeted personalized offers, thereby setting low public prices offered to nontargeted consumers. But the effect is mitigated when consumers are active in identity management because it raises the firm’s cost of serving nontargeted consumers. When firms have sufficiently large and nonoverlapping target segments, identity management can enable firms to extract full surplus from their targeted consumers through perfect price discrimination. Identity management can also induce firms not to serve consumers who are not targeted by either firm when the commonly nontargeted market segment is small. This results in a deadweight loss. Thus, identity management by consumers can benefit firms and lead to lower consumer surplus and lower social welfare. Our main insight continues to be valid when a fraction of consumers are active in identity management or when there is a cost of identity management. We also discuss the regulatory implications for the use of consumer information by firms as well as the implications for management. This paper was accepted by Juanjuan Zhang, marketing.

Keywords

L13, ddc:330, customer targeting, L5, D8, identity management, D43, Personalized pricing

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    128
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
128
Top 1%
Top 10%
Top 10%
bronze