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Optimizing Free-to-Play Multiplayer Games with Premium Subscription

Author

Listed:
  • Yunke Mai

    (Gatton College of Business and Economics, University of Kentucky, Lexington, Kentucky 40506)

  • Bin Hu

    (Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080)

Abstract

We consider the optimal operating policies of a free-to-play multiplayer game with a premium subscription to maximize its lifetime operating profit. Accounting for social comparisons between free and premium players, we model the game attracting or losing players with a hybrid of the Bass diffusion model and the replicator equation in evolutionary game theory. Leveraging optimal control theory, we characterize optimal dynamic pricing and advertising policies and show that the developer should prioritize initial growth through aggressive advertising, while postponing the introduction of a premium subscription. Surprisingly, the optimal subscription price may start high and gradually decrease. We further show that the developer should strengthen social-comparison effects, that payment-based matchmaking can be an effective monetization driver, and that our main findings remain robust when allowing individual in-game item purchases/partial premium subscription. These findings are potentially instructive for game developers adopting the premium subscription model.

Suggested Citation

  • Yunke Mai & Bin Hu, 2023. "Optimizing Free-to-Play Multiplayer Games with Premium Subscription," Management Science, INFORMS, vol. 69(6), pages 3437-3456, June.
    • Handle: RePEc:inm:ormnsc:v:69:y:2023:i:6:p:3437-3456
    DOI: 10.1287/mnsc.2022.4510
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    References listed on IDEAS

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