Engagement Patterns in TikTok: An Analysis of Short Video Ads

Joni Salminen, Risqo Wahid, Yanwu Yang, Bernard Jansen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Short videos have become one of the dominant formats of social media content. Such short videos are often boosted by advertising to increase their reach and visibility. We investigate user churn (i.e., drop or loss of consumers during the video viewing) of short video ads on TikTok. Data from the TikTok Ads account of an e-commerce company was analyzed using logistic regression to examine how gender, age groups, and video duration affect users' video viewing behaviors. The findings indicate that (1) most customers leave the ads within the first quarter of the video; (2) males and females exhibit similar viewing behaviors, but (3) age groups vary by their viewing behaviors. Somewhat surprisingly, we discovered that (4) there is no significant correlation between user churn and ads performance metrics (i.e., cost-per-mille, cost-per-click, and click-through rate).

Original languageEnglish
Title of host publicationHT 2024
Subtitle of host publicationCreative Intelligence - 35th ACM Conference on Hypertext and Social Media
PublisherAssociation for Computing Machinery, Inc
Pages323-329
Number of pages7
ISBN (Electronic)9798400705953
DOIs
Publication statusPublished - 10 Sept 2024
Event35th ACM Conference on Hypertext and Social Media, HT 2024 - Poznan, Poland
Duration: 10 Sept 202413 Sept 2024

Publication series

NameHT 2024: Creative Intelligence - 35th ACM Conference on Hypertext and Social Media

Conference

Conference35th ACM Conference on Hypertext and Social Media, HT 2024
Country/TerritoryPoland
CityPoznan
Period10/09/2413/09/24

Keywords

  • short video ads
  • social media ads
  • TikTok advertising
  • user behavior
  • user churn

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