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Targeted Couponing in Online Auctions

Author

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  • Vidyanand Choudhary

    (Paul Merage School of Business, University of California, Irvine, Irvine, California 92697)

  • Shivendu Shivendu

    (Muma College of Business, University of South Florida, Tampa, Florida 33620)

Abstract

To study the role of targeted couponing in auctions, we develop a stylized model in which bidders have heterogeneous valuations and participation costs wherein their entry probabilities are endogenous. Couponing impacts the seller’s profit in two ways: (i) impact on bidders’ entry probability including negative externalities for the bidder who does not receive a coupon and (ii) value extraction. We find that targeting a coupon to the low-valuation bidder can be optimal for the firm even if it leads to a reduction in the joint entry probability of the two bidders because of the benefit from value extraction. A novel result is that in the context of auctions it can be optimal for the seller to issue targeted coupons to the high-valuation bidder. We also find that an increase in the bidders’ valuation or reduction in the participation cost can lead to lower profit for the seller. This result is driven by the nonmonotonicity of the joint entry probability of the two bidders and the seller profits being nonmonotone functions of bidders’ valuations and participation costs.

Suggested Citation

  • Vidyanand Choudhary & Shivendu Shivendu, 2017. "Targeted Couponing in Online Auctions," Information Systems Research, INFORMS, vol. 28(3), pages 490-510, September.
  • Handle: RePEc:inm:orisre:v:28:y:2017:i:3:p:490-510
    DOI: 10.1287/isre.2017.0688
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    References listed on IDEAS

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    4. Zhe (James) Zhang & Shivendu Shivendu & Peng Wang, 2021. "Is Investment in Data Analytics Always Profitable? The Case of Third‐Party‐Online‐Promotion Marketplace," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2321-2337, July.

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