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The equivalence of bundling and advance sales

Author

Listed:
  • Alexei Alexandrov

    (Consumer Financial Protection Bureau Washington DC)

  • Özlem Bedre-Defolie

    (ESMT European School of Management and Technology)

Abstract

We show that a monopolist's problem of optimal advance selling strategy can be mathematically transformed into a problem of optimal bundling strategy if four conditions hold: i. consumers and the firm agree on the probability of the states occurring, ii. the firm pre-commits to the spot prices to be charged in the advance selling stage, iii. consumers are risk-neutral, and iv. consumers and the firm do not have time preferences or when they do have time preferences, they discount future at the same rate. The result allows both researchers and practitioners to apply the insights from the well-developed vast literature on bundling to advance selling problems. In particular, we show that advance selling is more profitable than spot selling when consumer valuations across the states are independent or negatively dependent or positively dependent up to a point. We furthermore illustrate the effect of advance selling on the spot prices and consumer welfare: When the firm offers advance selling discounts, sets higher spot prices, so consumers who do not buy in advance are worse off due to the firm offering advance selling discounts. We extend our analysis to the cases of more than two states and competition only in one of the states. We also show how advance selling can be used as an entry deterrence strategy.

Suggested Citation

  • Alexei Alexandrov & Özlem Bedre-Defolie, 2013. "The equivalence of bundling and advance sales," ESMT Research Working Papers ESMT-13-11, ESMT European School of Management and Technology.
  • Handle: RePEc:esm:wpaper:esmt-13-11
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    References listed on IDEAS

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    3. Yilin Liang & Yuping Hu & Dongjun Luo & Qi Zhu & Qingxuan Chen & Chunmei Wang, 2023. "Distributed Dynamic Pricing Strategy Based on Deep Reinforcement Learning Approach in a Presale Mechanism," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    4. Zhenhua Gao & Luyao Zhao & Hongjun Wang, 2022. "Supply Chain Coordination of Product and Service Bundling Based on Network Externalities," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    5. Sreya Kolay & Rajeev K. Tyagi, 2022. "Optimal Bundling of Events," Marketing Science, INFORMS, vol. 41(2), pages 380-400, March.
    6. Vithala R. Rao & Gary J. Russell & Hemant Bhargava & Alan Cooke & Tim Derdenger & Hwang Kim & Nanda Kumar & Irwin Levin & Yu Ma & Nitin Mehta & John Pracejus & R. Venkatesh, 2018. "Emerging Trends in Product Bundling: Investigating Consumer Choice and Firm Behavior," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 107-120, March.
    7. Qiu, Shangzhi & Wu, Laurie & Yang, Yanjia & Zeng, Guojun, 2022. "Offering the right incentive at the right time: Leveraging customer mental accounting to promote prepaid service," Annals of Tourism Research, Elsevier, vol. 93(C).
    8. Qianbo Yin & Kwei‐Long Huang & Chia‐Wei Kuo & Sean X. Zhou, 2021. "Add‐On Pricing in a Distribution Channel," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4069-4088, November.

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    More about this item

    Keywords

    Advance selling; bundling; price discrimination;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly

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