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Match Your Own Price? Self-Matching as a Retailer’s Multichannel Pricing Strategy

Author

Listed:
  • Pavel Kireyev

    (Harvard Business School, Harvard University, Boston, Massachusetts 02163)

  • Vineet Kumar

    (Yale School of Management, Yale University, New Haven, Connecticut 06520)

  • Elie Ofek

    (Harvard Business School, Harvard University, Boston, Massachusetts 02163)

Abstract

Multichannel retailing has created several new strategic choices for retailers. With respect to pricing, an important decision is whether to offer a “self-matching policy,” which allows a multichannel retailer to offer the lowest of its online and store prices to consumers. In practice, we observe considerable heterogeneity in self-matching policies: There are retailers who offer to self-match and retailers who explicitly state that they will not match prices across channels. Using a game-theoretic model, we investigate the strategic forces behind the adoption (or non-adoption) of self-matching across a range of competitive scenarios, including a monopolist, two competing multichannel retailers, as well as a mixed duopoly. Though self-matching can negatively impact a retailer when consumers pay the lower price, we uncover two novel mechanisms that can make self-matching profitable in a duopoly setting. Specifically, self-matching can dampen competition online and enable price discrimination in-store. Its effectiveness in these respects depends on the decision-making stage of consumers and the heterogeneity of their preference for the online versus store channels. Surprisingly, self-matching strategies can also be profitable when consumers use “smart” devices to discover online prices in stores. Our findings provide insights for managers on how and when self-matching can be an effective pricing strategy.

Suggested Citation

  • Pavel Kireyev & Vineet Kumar & Elie Ofek, 2017. "Match Your Own Price? Self-Matching as a Retailer’s Multichannel Pricing Strategy," Marketing Science, INFORMS, vol. 36(6), pages 908-930, November.
  • Handle: RePEc:inm:ormksc:v:36:y:2017:i:6:p:908-930
    DOI: 10.1287/mksc.2017.1035
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    Cited by:

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    2. Cai, Ya-Jun & Lo, Chris K.Y., 2020. "Omni-channel management in the new retailing era: A systematic review and future research agenda," International Journal of Production Economics, Elsevier, vol. 229(C).
    3. Feng, Yue & Zhang, Jianxiong & Feng, Lin & Zhu, Guowei, 2022. "Benefit from a high store visiting cost in an omnichannel with BOPS," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    4. Wei, Jie & Chang, Meijing, 2023. "Are price matching and logistics service enhancement always effective strategies for improving profitability?," European Journal of Operational Research, Elsevier, vol. 307(1), pages 103-115.
    5. Jin, Delong & Caliskan-Demirag, Ozgun & Chen, Frank (Youhua) & Huang, Min, 2020. "Omnichannel retailers’ return policy strategies in the presence of competition," International Journal of Production Economics, Elsevier, vol. 225(C).
    6. Joshi, Raunak & Basu, Sumanta & Jonnalagedda, Sreelata & Avittathur, Balram, 2023. "Multichannel retailer’s channel choice and product pricing: Influence of investment in fit-disclosing technology by competing retailers," International Journal of Production Economics, Elsevier, vol. 262(C).
    7. Zhen, Xueping & Xu, Shuangshuang, 2022. "Who should introduce the third-party platform channel under different pricing strategies?," European Journal of Operational Research, Elsevier, vol. 299(1), pages 168-182.
    8. Konur, Dinçer, 2021. "Keep your enemy close? Competitive online brands’ expansion with individual and shared showrooms," Omega, Elsevier, vol. 99(C).
    9. He, Yi & Xu, Qingyun & Shao, Zhen, 2021. "“Ship-from-store” strategy in platform retailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    10. Mao, Zhaofang & Du, Zelin & Yuan, Ruiying & Miao, Qiqi, 2022. "Short-term or long-term cooperation between retailer and MCN? New launched products sales strategies in live streaming e-commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    11. Wang, Zhanpeng & Ye, Chao & Liu, Xinxin & Ma, Ruize & Sun, Zilai & Ruan, Junhu, 2023. "Optimal retail sales strategies for old and new products in monopoly and horizontal competition scenarios," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).

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