Considering that the promotion strategies adopted by the platform can increase consumer expectations, the paper constructs decision models for the platform profits maximisation problem and analyse the optimal advertising volume, optimal pricing and optimal promotion strategies of the platform. The results show that the platform is able to influence advertising volume, pricing, or market demand through its promotion strategies, thereby increasing the video profits. Before the video is launched in the market, there exists an optimal promotion period and an optimal allocation proportion of promotion investment. The optimal promotion period before the video is launched in the market is the same under different business models. The optimal promotion investment before video launched is the largest in paid model, the second largest in mixed model, and the smallest in free model.
CNNIC (2023) The 52th China Statistical Report on Internet Development. (In Chinese) https://www.cnnic.com.cn/index.htm
Carroni, E. and Paolini, D. (2020) Business Models for Streaming Platforms: Content Acquisition, Advertising and Users. Information Economics and Policy, 52, Article ID: 100877. https://doi.org/10.1016/j.infoecopol.2020.100877
Cheng, X., Mu, L., Sun, Y. and Bian, Y. (2018) Optimal Pricing Decisions for the Online Video Platform under Customer Choice. Asia-Pacific Journal of Operational Research (APJOR), 35, Article ID: 1850002. https://doi.org/10.1142/s0217595918500021
Xu, S., Ling, L. and Zhao, G. (2020) Which Is the Optimal Commercial Mode for a Video Site: Paid, Free, or Hybrid? Asia-Pacific Journal of Operational Research, 37, Article ID: 2050022. https://doi.org/10.1142/s0217595920500220
Zennyo, Y. (2020) Freemium Competition among Ad-Sponsored Platforms. Information Economics and Policy, 50, Article ID: 100848. https://doi.org/10.1016/j.infoecopol.2019.100848
Franses, P.H. (2021) Modeling Box Office Revenues of Motion Pictures. Technological Forecasting and Social Change, 169, Article ID: 120812. https://doi.org/10.1016/j.techfore.2021.120812
Kampani, J., Nicolaides, C. and Nicolaides, C. (2023) Information Consistency as Response to Pre-Launch Advertising Communications: The Case of YouTube Trailers. Frontiers in Communication, 7, Article ID: 1022139. https://doi.org/10.3389/fcomm.2022.1022139
Lee, Y., Kim, S.H. and Cha, K.C. (2021) Impact of Online Information on the Diffusion of Movies: Focusing on Cultural Differences. Journal of Business Research, 130, 603-609. https://doi.org/10.1016/j.jbusres.2019.08.044
Meng, Q.G. and He, Y.Y. (2022) Prerelease Consumer Buzz: Current State of Research and Future Research Ideas. Journal of Sensors, 2022, Article ID: 2948653. https://doi.org/10.1155/2022/2948653
Karray, S. and Debernitz, L. (2017) The Effectiveness of Movie Trailer Advertising. International Journal of Advertising, 36, 368-392. https://doi.org/10.1080/02650487.2015.1090521
Trehan, G.S.M.K. (2013) Uses and Functions of Teaser Campaigns in Advertising and Promotion: A Content Analysis of Newspaper and Television Advertisements in India. Journal of Mass Communication & Journalism, 3, Article ID: 1000145. https://doi.org/10.4172/2165-7912.1000145
Li, J., Gong, S. and Li, X. (2023) Coopetitive Strategy Optimization for Online Video Platforms with Multi-Homing Subscribers and Advertisers. Journal of Theoretical & Applied Electronic Commerce Research, 18, 744-764. https://doi.org/10.3390/jtaer18010038
Rong, K., Xiao, F., Zhang, X. and Wang, J. (2019) Platform Strategies and User Stickiness in the Online Video Industry. Technological Forecasting and Social Change, 143, 249-259. https://doi.org/10.1016/j.techfore.2019.01.023
Chiang, I., et al. (2020) Competition through Exclusivity in Digital Content Distribution. Production and Operations Management, 29, 1270-1286. https://doi.org/10.1111/poms.13156
Alaei, S., Makhdoumi, A., Malekian, A. and Peke, S. (2022) Revenue-Sharing Allocation Strategies for Two-Sided Media Platforms: Pro-Rata versus User-Centric. Management Science, 68, 8699-8721. https://doi.org/10.2139/ssrn.3645521
Kim, Y. and Mo, J. (2019) Pricing of Digital Video Supply Chain: Free versus Paid Service on the Direct Distribution Channel. Sustainability, 11, Article No. 46. https://doi.org/10.3390/su11010046
Fan, M., Kumar, S. and Whinston, A.B. (2007) Selling or Advertising: Strategies for Providing Digital Media Online. Journal of Management Information Systems, 24, 143-166. https://doi.org/10.2753/mis0742-1222240305
Chi, X., Fan, Z.-P. and Wang, X.H. (2021) Pricing Mode Selection for the Online Short Video Platform. Soft Computing, 25, 5105-5120. https://doi.org/10.1007/s00500-020-05513-3
Ehrenberg, A.S.C. (2000) Repetitive Advertising and the Consumer. International Review of the Red Cross, 40, 39-48. https://doi.org/10.4135/9781452231501.n6
Hixson, T.K. (2006) Mission Possible: Targeting Trailers to Movie Audiences. Journal of Targeting, Measurement and Analysis for Marketing, 14, 210-224. https://doi.org/10.1057/palgrave.jt.5740182
Finsterwalder, J., Kuppelwieser, V.G. and Villiers, M.D. (2012) The Effects of Film Trailers on Shaping Consumer Expectations in the Entertainment Industry—A Qualitative Analysis. Journal of Retailing and Consumer Services, 19, 589-595. https://doi.org/10.1016/j.jretconser.2012.07.004
Rennhoff, A.D. (2011) The Effectiveness of Post-Release Movie Advertising. International Journal of Advertising, 30, 305-328. https://doi.org/10.2139/ssrn.1106932
Lambrecht, A. and Misra, K. (2017) Fee or Free: When Should Firms Charge for Online Content? Management Science: Journal of the Institute of Management Sciences, 63, 1150-1165. https://doi.org/10.1287/mnsc.2015.2383
Li, S., Luo, Q., Qiu, L., Bandyopadhyay, S. and Singhal, K. (2020) Optimal Pricing Model of Digital Music: Subscription, Ownership or Mixed? Production and Operations Management, 29, 688-704. https://doi.org/10.2139/ssrn.2884252
Cooper, D.A., Yalcin, T., Nistor, C., Macrini, M. and Pehlivan, E. (2023) Privacy Considerations for Online Advertising: A Stakeholder’s Perspective to Programmatic Advertising. Journal of Consumer Marketing, 40, 235-247. https://doi.org/10.2139/ssrn.4012936
Wu, J.H., Zong, Y. and Liu, X. (2023) Cooperative Advertising in Dual-Channel Supply Chain under Asymmetric Demand Information. International Journal of Electronic Commerce, 27, 100-128. https://doi.org/10.1080/10864415.2022.2158597
Dall, F. and Vakratsas, D. (2023) The Impact of Advertising Creative Strategy on Advertising Elasticity. Journal of Marketing, 87, 26-44. https://doi.org/10.1177/00222429221074960
Liu, X.Y. (2022) Competitive Pricing and Advertising with Spillover. Journal of Mathematical Economics, 101, Article ID: 102660. https://doi.org/10.1016/j.jmateco.2022.102660
Thomas, M. (2020) Spillovers from Mass Advertising: An Identification Strategy. Marketing Science, 39, 807-826. https://doi.org/10.1287/mksc.2019.1217
Asdemir, K., Kumar, N. and Jacob, V.S. (2021) Pricing Models for Online Advertising: CPM vs. CPC. Information Systems Research, 23, 804-822. https://doi.org/10.1287/isre.1110.0391
Lin, M., Ke, X.Q. and Whinston, A.B. (2012) Vertical Differentiation and a Comparison of Online Advertising Models. Journal of Management Information Systems, 29, 195-236. https://doi.org/10.2753/mis0742-1222290106
Gavious, A. and Lowengart, O. (2012) Price-Quality Relationship in the Presence of Asymmetric Dynamic Reference Quality Effects. Marketing Letters, 23, 137-161. https://doi.org/10.1007/s11002-011-9143-4
He, Y.Y., Zhang, J., Gou, Q.L. and Bi, G.B. (2018) Supply Chain Decisions with Reference Quality Effect under the O2O Environment. Annals of Operations Research, 268, 273-292. https://doi.org/10.1007/s10479-016-2224-2