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Optimal Bundling of Events

Author

Listed:
  • Sreya Kolay

    (School of Business, University at Albany, State University of New York at Albany, Albany, New York 12222)

  • Rajeev K. Tyagi

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

Abstract

We examine a seller’s optimal bundling strategy when it sells two events offered over time. Given the temporal and perishability features of events, a bundle can be sold only in the first period, and the first-period event is unavailable later. We consider the following features: (i) events may differ in their popularity; (ii) the more popular event is offered first or later; (iii) consumers may be uncertain about their valuation of the later event; (iv) the seller may be unable to commit to the price of a future event; and (v) consumer valuations of events are independently distributed or positively correlated. We show how these market features determine the benefit of segmenting consumers with offers of bundle and individual events, the gains from the unconstrained optimization of the second-period event, and its cannibalization effect on first-period offerings. We demonstrate circumstances where the seller’s optimal strategy is selling only individual events, only the bundle of events, the bundle of events with only the less popular event offered outside the bundle, or the bundle of events and both events offered outside the bundle. We also show that the seller prefers to offer the more popular event later in all these market settings.

Suggested Citation

  • Sreya Kolay & Rajeev K. Tyagi, 2022. "Optimal Bundling of Events," Marketing Science, INFORMS, vol. 41(2), pages 380-400, March.
  • Handle: RePEc:inm:ormksc:v:41:y:2022:i:2:p:380-400
    DOI: 10.1287/mksc.2021.1314
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    References listed on IDEAS

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    1. Hemant K. Bhargava, 2013. "Mixed Bundling of Two Independently Valued Goods," Management Science, INFORMS, vol. 59(9), pages 2170-2185, September.
    2. Byung-Do Kim & Mengze Shi & Kannan Srinivasan, 2001. "Reward Programs and Tacit Collusion," Marketing Science, INFORMS, vol. 20(2), pages 99-120, June.
    3. Stephen K. Happel and Marianne M. Jennings, 1995. "The Folly of Anti-Scalping Laws," Cato Journal, Cato Journal, Cato Institute, vol. 15(1), pages 65-80, Spring/Su.
    4. Alexei Alexandrov & Özlem Bedre-Defolie, 2014. "The Equivalence of Bundling and Advance Sales," Marketing Science, INFORMS, vol. 33(2), pages 259-272, March.
    5. Steven M. Shugan & Jihwan Moon & JQiaoni Shi & Nanda S. Kumar, 2017. "Product Line Bundling: Why Airlines Bundle High-End While Hotels Bundle Low-End," Marketing Science, INFORMS, vol. 36(1), pages 124-139, January.
    6. Daniel A. Levinthal & Devavrat Purohit, 1989. "Durable Goods and Product Obsolescence," Marketing Science, INFORMS, vol. 8(1), pages 35-56.
    7. Mahmood Pedram & Subramanian Balachander, 2015. "Increasing Quality Sequence: When Is It an Optimal Product Introduction Strategy?," Management Science, INFORMS, vol. 61(10), pages 2487-2494, October.
    8. Patrick DeGraba & Rafi Mohammed, 1999. "Intertemporal Mixed Bundling and Buying Frenzies," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 694-718, Winter.
    9. Faye Steiner, 1997. "Optimal Pricing of Museum Admission," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 21(4), pages 307-333, December.
    10. Nancy L. Stokey, 1981. "Rational Expectations and Durable Goods Pricing," Bell Journal of Economics, The RAND Corporation, vol. 12(1), pages 112-128, Spring.
    11. R. Venkatesh & Wagner Kamakura, 2003. "Optimal Bundling and Pricing under a Monopoly: Contrasting Complements and Substitutes from Independently Valued Products," The Journal of Business, University of Chicago Press, vol. 76(2), pages 211-232, April.
    12. John C. Eckalbar, 2010. "Closed‐Form Solutions to Bundling Problems," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(2), pages 513-544, June.
    13. Lorin M. Hitt & Pei-yu Chen, 2005. "Bundling with Customer Self-Selection: A Simple Approach to Bundling Low-Marginal-Cost Goods," Management Science, INFORMS, vol. 51(10), pages 1481-1493, October.
    14. Xianjun Geng & Maxwell B. Stinchcombe & Andrew B. Whinston, 2005. "Bundling Information Goods of Decreasing Value," Management Science, INFORMS, vol. 51(4), pages 662-667, April.
    15. Yannis Bakos & Erik Brynjolfsson, 1999. "Bundling Information Goods: Pricing, Profits, and Efficiency," Management Science, INFORMS, vol. 45(12), pages 1613-1630, December.
    16. Yongmin Chen & Jason Pearcy, 2010. "Dynamic pricing: when to entice brand switching and when to reward consumer loyalty," RAND Journal of Economics, RAND Corporation, vol. 41(4), pages 674-685, December.
    17. William James Adams & Janet L. Yellen, 1976. "Commodity Bundling and the Burden of Monopoly," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(3), pages 475-498.
    18. Jinhong Xie & Steven M. Shugan, 2001. "Electronic Tickets, Smart Cards, and Online Prepayments: When and How to Advance Sell," Marketing Science, INFORMS, vol. 20(3), pages 219-243, June.
    19. Scott Fay & Jinhong Xie, 2010. "The Economics of Buyer Uncertainty: Advance Selling vs. Probabilistic Selling," Marketing Science, INFORMS, vol. 29(6), pages 1040-1057, 11-12.
    20. Ashutosh Prasad & R. Venkatesh & Vijay Mahajan, 2010. "Optimal Bundling of Technological Products with Network Externality," Management Science, INFORMS, vol. 56(12), pages 2224-2236, December.
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