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Personalized Pricing and Distribution Strategies

Author

Listed:
  • Bruno Jullien

    (Toulouse School of Economics, Centre national de la recherche scientifque (CNRS), 31000 Toulouse, France)

  • Markus Reisinger

    (Frankfurt School of Finance & Management, 60322 Frankfurt am Main, Germany)

  • Patrick Rey

    (Toulouse School of Economics, University Toulouse Capitole, 31000 Toulouse, France)

Abstract

The availability of consumer data is inducing a growing number of firms to adopt more personalized pricing policies. This affects both the performance of, and the competition between, alternative distribution channels, which in turn has implications for firms’ distribution strategies. We develop a formal model to examine a brand manufacturer’s choice between mono distribution (selling only through its own direct channel) or dual distribution (selling through an independent retailer as well). We consider different demand patterns, covering both horizontal and vertical differentiation and different pricing regimes, with the manufacturer and retailer each charging personalized prices or a uniform price. We show that dual distribution is optimal for a large number of cases. In particular, this is always the case when the channels are horizontally differentiated, regardless of the pricing regime; moreover, if both firms charge personalized prices, a well-designed wholesale tariff allows them to extract the entire consumer surplus. These insights obtained here for the case of intrabrand competition between vertically related firms are thus in stark contrast to those obtained for interbrand competition, where personalized pricing dissipates industry profit. With vertical differentiation, dual distribution remains optimal if the manufacturer charges a uniform price. By contrast, under personalized pricing, mono distribution can be optimal when the retailer does not expand demand sufficiently. Interestingly, the industry profit may be largest in a hybrid pricing regime, in which the manufacturer forgoes the use of personalized pricing and only the retailer charges personalized prices.

Suggested Citation

  • Bruno Jullien & Markus Reisinger & Patrick Rey, 2023. "Personalized Pricing and Distribution Strategies," Management Science, INFORMS, vol. 69(3), pages 1687-1702, March.
  • Handle: RePEc:inm:ormnsc:v:69:y:2023:i:3:p:1687-1702
    DOI: 10.1287/mnsc.2022.4437
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    1. Andrew Rhodes & Jidong Zhou, 2022. "Personalized Pricing and Competition," Cowles Foundation Discussion Papers 2329, Cowles Foundation for Research in Economics, Yale University.
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    3. Chen, Claire Y.T. & Sun, Edward W. & Miao, Wanyu & Lin, Yi-Bing, 2024. "Reconciling business analytics with graphically initialized subspace clustering for optimal nonlinear pricing," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1086-1107.
    4. Harold Houba & Evgenia Motchenkova & Hui Wang, 2022. "Personalized Pricing, Competition and Welfare," Tinbergen Institute Discussion Papers 22-020/VII, Tinbergen Institute.

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    More about this item

    Keywords

    personalized pricing; distribution strategies; vertical contracting; downstream competition;
    All these keywords.

    JEL classification:

    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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