JOURNAL ARTICLE

Is the Money Spent on Short-Form Video Social Platforms Worth It? The Role of Advertising Spillover in a Large-Scale Randomized Field Experiment on ByteDance.

  • Published In: Marketing Science (INFORMS), 2025, v. 44, n. 5. P. 1125 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Liang, Yitian; Chen, Xinlei; Han, Shengnan; Zhang, Jinglong; Chen, Yubo 3 of 3

Abstract

This article investigates the role of advertising spillover in the effectiveness of short-form video advertising campaigns on ByteDance, a leading Chinese internet company operating platforms such as Douyin (Chinese TikTok) and Toutiao. Through a large-scale randomized field experiment involving over 84 million users and an automobile brand, the study finds that most advertising conversions occur outside ByteDance, with exposed users being eight times more likely to convert off-platform than on-platform. Ignoring this spillover leads to significant underestimation of advertising effectiveness and misinformed economic evaluations, such as inflated cost per conversion metrics. Additionally, commonly used demographic targeting variables lose predictive power when spillover is considered, whereas a behavioral variable—prior visits to the brand's Douyin home page—effectively moderates advertising impact only when off-platform conversions are included. The findings highlight the critical need for information sharing between platforms and advertisers to accurately assess advertising outcomes and optimize targeting strategies.

Additional Information

  • Source:Marketing Science (INFORMS). 2025/09, Vol. 44, Issue 5, p1125
  • Document Type:Article
  • Subject Area:Marketing
  • Publication Date:2025
  • ISSN:0732-2399
  • DOI:10.1287/mksc.2023.0575
  • Accession Number:188352077
  • Copyright Statement:Copyright of Marketing Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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