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The Power of Opaque Products in Pricing

Author

Listed:
  • Adam N. Elmachtoub

    (Department of Industrial Engineering and Operations Research, Columbia University, New York, New York 10027)

  • Michael L. Hamilton

    (Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, Pennsylvania 15260)

Abstract

We study the power of selling opaque products, that is, products where a feature (such as color) is hidden from the customer until after purchase. Opaque products, which are sold with a price discount, have emerged as a powerful vehicle to increase revenue for many online retailers and service providers that offer horizontally differentiated items. In the opaque selling models we consider, all of the items are sold at a single common price alongside opaque products that may correspond to various subsets of the items. We consider two types of customers, risk-neutral ones, who assume they will receive a truly random item of the opaque product, and pessimistic ones, who assume they will receive their least favorite item of the opaque product. We benchmark opaque selling against two common selling strategies: discriminatory pricing, where one explicitly charges different prices for each item, and single pricing, where a single price is charged for all the items. We give a sharp characterization of when opaque selling outperforms discriminatory pricing; namely, this result holds for situations where all customers are pessimistic or the item valuations are supported on two points. In the latter case, we also show that opaque selling with just one opaque product guarantees at least 71.9% of the revenue from discriminatory pricing. We then provide upper bounds on the potential revenue increase from opaque selling strategies over single pricing and describe cases where the increase can be significantly more than that of discriminatory pricing. Finally, we provide pricing algorithms and conduct an extensive numerical study to assess the power of opaque selling for a variety valuation distributions and model extensions.

Suggested Citation

  • Adam N. Elmachtoub & Michael L. Hamilton, 2021. "The Power of Opaque Products in Pricing," Management Science, INFORMS, vol. 67(8), pages 4686-4702, August.
  • Handle: RePEc:inm:ormnsc:v:67:y:2021:i:8:p:4686-4702
    DOI: 10.1287/mnsc.2020.3750
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    References listed on IDEAS

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    Cited by:

    1. Alonso, Juana M. & Socorro, M. Pilar, 2024. "Blind booking: The effects on passengers' purchase decision, airlines’ profitability, and tourist destinations," Research in Transportation Economics, Elsevier, vol. 105(C).
    2. Nie, Tengfei & Bao, Hengjia & Huang, Rongji & Du, Shaofu, 2026. "Opaque pricing strategy with social network effects," Omega, Elsevier, vol. 138(C).
    3. Adam N. Elmachtoub & Vishal Gupta & Michael L. Hamilton, 2021. "The Value of Personalized Pricing," Management Science, INFORMS, vol. 67(10), pages 6055-6070, October.
    4. Shixin Wang, 2025. "The Power of Simple Menus in Robust Selling Mechanisms," Management Science, INFORMS, vol. 71(6), pages 5268-5287, June.
    5. Chen, Ming & Chen, Zhi-Long, 2024. "Stop clicking around and book direct: Impact of best rate guarantee on hotel pricing," European Journal of Operational Research, Elsevier, vol. 313(3), pages 1088-1104.
    6. Wenchang Zhu & Huseyin Topaloglu, 2024. "Performance Guarantees for Network Revenue Management with Flexible Products," Manufacturing & Service Operations Management, INFORMS, vol. 26(1), pages 252-270, January.
    7. Guang Yang & Ying Wang & Mulin Liu, 2023. "Optimal Policy for Probabilistic Selling with Three-Way Revenue Sharing Contract under the Perspective of Sustainable Supply Chain," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
    8. Shixin Wang, 2023. "The Power of Simple Menus in Robust Selling Mechanisms," Papers 2310.17392, arXiv.org, revised Sep 2024.
    9. Will Ma, 2023. "When Is Assortment Optimization Optimal?," Management Science, INFORMS, vol. 69(4), pages 2088-2105, April.
    10. Yang, Guang & Tian, Lin & Cai, Mei & Cao, Jie & Gong, Zaiwu, 2025. "Vertically probabilistic selling mechanism under asymmetric quality-tier competition: An analytical exploration," International Journal of Production Economics, Elsevier, vol. 286(C).
    11. Alonso, Juana M. & Socorro, M. Pilar, 2025. "Blind tickets to solve the inefficiencies of subsidies for residents in air transport markets," Transport Policy, Elsevier, vol. 171(C), pages 140-156.
    12. Guo, Xiaolong & Bian, Junsong & Wu, Peiyan & Shi, Victor & Chen, Huangen, 2023. "Probabilistic product design with regret-anticipated consumers," International Journal of Production Economics, Elsevier, vol. 263(C).
    13. Daniel Freund & S'ebastien Martin & Jiayu Kamessi Zhao, 2024. "Two-Sided Flexibility in Platforms," Papers 2404.04709, arXiv.org, revised Mar 2026.
    14. Hang Ren & Tingliang Huang, 2022. "Opaque Selling and Inventory Management in Vertically Differentiated Markets," Manufacturing & Service Operations Management, INFORMS, vol. 24(5), pages 2543-2557, September.
    15. Sasanuma, Katsunobu & Hibiki, Akira & Sexton, Thomas, 2022. "An opaque selling scheme to reduce shortage and wastage in perishable inventory systems," Operations Research Perspectives, Elsevier, vol. 9(C).
    16. Scott Fay & Shahryar Gheibi, 2024. "The Effect of Probabilistic Selling on Channel Dynamics in Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 26(2), pages 632-645, March.
    17. Zhang, Zihao & Zhang, Mengying, 2024. "Pricing and Capacity Allocation in Opaque Selling," European Journal of Operational Research, Elsevier, vol. 318(1), pages 230-241.
    18. Ben Li & Xiaolong Guo & Liang Liang, 2024. "Optimal pricing decision and capacity allocation of opaque selling in airline revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(4), pages 356-368, August.

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