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Optimal pricing strategy: How to sell to strategic consumers?

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  • Wu, Meng
  • Ran, Yun
  • Zhu, Stuart X.

Abstract

Technological advances are preparing consumers to plan their purchases strategically. Selling to strategic consumers at a fixed price forgoes the profit from salvaging inventory, whereas high-low pricing, as a ubiquitous pricing strategy, is costly due to the offered markdown discount. This research explores the overall impact of consumer's strategic buying behaviour on a pricing strategy, and identifies conditions where fixed pricing, strategic high pricing, or high-low pricing is the best approach by analytically comparing the profits of the three pricing strategies. Our results show that high-low pricing is appropriate only if the offered markdown discount is relatively small. If strategic consumers have a small population and the needed markdown discount is relatively large, retailers can ignore strategic buying behaviour and sell products at a fixed price. Our results emphasize that the markdown discount for clearance sales and the market structure of heterogeneous consumers play vital roles in determining the optimal pricing strategy.

Suggested Citation

  • Wu, Meng & Ran, Yun & Zhu, Stuart X., 2022. "Optimal pricing strategy: How to sell to strategic consumers?," International Journal of Production Economics, Elsevier, vol. 244(C).
  • Handle: RePEc:eee:proeco:v:244:y:2022:i:c:s0925527321003431
    DOI: 10.1016/j.ijpe.2021.108367
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    2. He, Peng & He, Yong & Zhou, Li, 2023. "Channel strategies for dual-channel firms to counter strategic consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
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    5. Liu, Zhuojun & Zhang, Michael & Chen, Jing & Diallo, Claver, 2023. "Buy now or later? New or remanufactured? How to attract strategic customers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    6. Limor Dina Gonen & Tchai Tavor & Uriel Spiegel, 2024. "Unlocking Market Potential: Strategic Consumer Segmentation and Dynamic Pricing for Balancing Loyalty and Deal Seeking," Mathematics, MDPI, vol. 12(21), pages 1-31, October.

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