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Targeted vs. universal: Optimal strategies for multi-unit purchase coupons

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  • Wang, Yan
  • Xing, Wei
  • Zhao, Xuan
  • Zhou, Yongsheng

Abstract

Multi-unit purchase coupons offer discounts to consumers who purchase a specified quantity of a product. This paper examines a seller's choice between two strategies for multi-unit purchase coupons: the universal coupon strategy (U-Coupon), which offers coupons to all consumers, and the targeted coupon strategy (T-Coupon), which specifically targets consumers who have not made prior purchases. We find that the coupon discount offered under the T-Coupon strategy is higher than that under the U-Coupon strategy, suggesting that the T-Coupon strategy leads to greater price discrimination. Contrary to common wisdom, the T-Coupon strategy, despite its precise consumer targeting, is not always the optimal choice. Indeed, the U-Coupon strategy outperforms the T-Coupon strategy when there are substantial cost reductions from multi-unit sales or when product quality is well-maintained over time. In contrast, the T-Coupon strategy proves more effective when cost reductions are modest and quality retention is moderate. We verify that these findings remain robust, regardless of whether the retail price is determined endogenously or exogenously. Finally, we show that low consumer retention incentivizes the seller to adopt coupon strategies that maximize consumer surplus. Moreover, both coupon strategies enhance the seller's profit and consumer surplus in exogenous price scenarios, whereas the T-Coupon strategy may increase the seller's profit at the expense of consumer surplus in endogenous price scenarios.

Suggested Citation

  • Wang, Yan & Xing, Wei & Zhao, Xuan & Zhou, Yongsheng, 2026. "Targeted vs. universal: Optimal strategies for multi-unit purchase coupons," Journal of Retailing and Consumer Services, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:joreco:v:88:y:2026:i:c:s0969698925002735
    DOI: 10.1016/j.jretconser.2025.104494
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    References listed on IDEAS

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    1. Manish Gangwar & Nanda Kumar & Ram C. Rao, 2021. "Pricing Under Dynamic Competition When Loyal Consumers Stockpile," Decision Analysis, INFORMS, vol. 40(3), pages 569-588, May-June.
    2. Zhang, Hongchao & Yu, Yu & Qin, Yinggao, 2023. "The effects of constrained mobile coupons in the mobile channel," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    3. Xiao Liu, 2023. "Dynamic Coupon Targeting Using Batch Deep Reinforcement Learning: An Application to Livestream Shopping," Marketing Science, INFORMS, vol. 42(4), pages 637-658, July.
    4. Kapil Bawa & Robert Shoemaker, 2004. "The Effects of Free Sample Promotions on Incremental Brand Sales," Marketing Science, INFORMS, vol. 23(3), pages 345-363, November.
    5. Manish Gangwar & Nanda Kumar & Ram C. Rao, 2021. "Pricing Under Dynamic Competition When Loyal Consumers Stockpile," Marketing Science, INFORMS, vol. 40(3), pages 569-588, May.
    6. Bhatt, Siddharth & Pai, Dinesh R. & DelVecchio, Devon, 2023. "The dark side of multiunit discounts: Multiunit discounts reduce rest of basket revenue," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    7. Qiang Lu & Sridhar Moorthy, 2007. "Coupons Versus Rebates," Marketing Science, INFORMS, vol. 26(1), pages 67-82, 01-02.
    8. Ji Wu & Haichuan Zhao & Haipeng (Allan) Chen, 2021. "Coupons or Free Shipping? Effects of Price Promotion Strategies on Online Review Ratings," Information Systems Research, INFORMS, vol. 32(2), pages 633-652, June.
    9. Yi-Chun (Chad) Ho & Yi-Jen (Ian) Ho & Yong Tan, 2017. "Online Cash-back Shopping: Implications for Consumers and e-Businesses," Information Systems Research, INFORMS, vol. 28(2), pages 250-264, June.
    10. Paul B. Ellickson & Wreetabrata Kar & James C. Reeder, 2023. "Estimating Marketing Component Effects: Double Machine Learning from Targeted Digital Promotions," Marketing Science, INFORMS, vol. 42(4), pages 704-728, July.
    11. Srikanth Jagabathula & Dmitry Mitrofanov & Gustavo Vulcano, 2022. "Personalized Retail Promotions Through a Directed Acyclic Graph–Based Representation of Customer Preferences," Operations Research, INFORMS, vol. 70(2), pages 641-665, March.
    12. Aurélie Lemmens & Sunil Gupta, 2020. "Managing Churn to Maximize Profits," Marketing Science, INFORMS, vol. 39(5), pages 956-973, September.
    13. Andrew T. Ching & Matthew Osborne, 2020. "Identification and Estimation of Forward-Looking Behavior: The Case of Consumer Stockpiling," Marketing Science, INFORMS, vol. 39(4), pages 707-726, July.
    14. Ye Qiu & Ram C. Rao, 2020. "Increasing Retailer Loyalty Through the Use of Cash Back Rebate Sites," Marketing Science, INFORMS, vol. 39(4), pages 743-762, July.
    15. Vidyanand Choudhary & Shivendu Shivendu, 2017. "Targeted Couponing in Online Auctions," Information Systems Research, INFORMS, vol. 28(3), pages 490-510, September.
    16. Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
    17. Sanjay K. Dhar & Jagmohan S. Raju, 1998. "The Effects of Cross-Ruff Coupons on Sales and Profits," Management Science, INFORMS, vol. 44(11-Part-1), pages 1501-1516, November.
    18. Hu, Li & Zhang, Mengwei & Wen, Xin, 2023. "Optimal distribution strategy of coupons on e-commerce platforms: Sufficient or scarce?," International Journal of Production Economics, Elsevier, vol. 266(C).
    19. Imke Reimers & Claire (Chunying) Xie, 2019. "Do Coupons Expand or Cannibalize Revenue? Evidence from an e-Market," Management Science, INFORMS, vol. 65(1), pages 286-300, January.
    20. Shanshan Hu & Xing Hu & Qing Ye, 2017. "Optimal Rebate Strategies Under Dynamic Pricing," Operations Research, INFORMS, vol. 65(6), pages 1546-1561, December.
    21. Manish Gangwar & Nanda Kumar & Ram C. Rao, 2014. "Consumer Stockpiling and Competitive Promotional Strategies," Marketing Science, INFORMS, vol. 33(1), pages 94-113, January.
    22. Kapoor, Anuj Pal & Vij, Madhu, 2021. "Following you wherever you go: Mobile shopping ‘cart-checkout’ abandonment," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    23. Arun Gopalakrishnan & Young-Hoon Park, 2021. "The Impact of Coupons on the Visit-to-Purchase Funnel," Marketing Science, INFORMS, vol. 40(1), pages 48-61, January.
    24. Ladhari, Riadh & Hudon, Tristan & Massa, Elodie & Souiden, Nizar, 2022. "The determinants of Women's redemption of geo-targeted m-coupons," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    25. Navdeep S. Sahni & Dan Zou & Pradeep K. Chintagunta, 2017. "Do Targeted Discount Offers Serve as Advertising? Evidence from 70 Field Experiments," Management Science, INFORMS, vol. 63(8), pages 2688-2705, August.
    26. Yuefeng Li & Moutaz J. Khouja & Jingming Pan & Jing Zhou, 2023. "Buy-One-Get-One Promotions in a Two-Echelon Supply Chain," Management Science, INFORMS, vol. 69(9), pages 5234-5255, September.
    27. Subramanian Balachander & Bikram Ghosh & Axel Stock, 2010. "Why Bundle Discounts Can Be a Profitable Alternative to Competing on Price Promotions," Marketing Science, INFORMS, vol. 29(4), pages 624-638, 07-08.
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