A Study on Re-targeting Strategy for In-Feed Advertising:The Perspective of the User's Dynamic Information Processing

Xiao Bangming, Zhang Hao,Liu Sizhe

Journal of Marketing Science ›› 2025, Vol. 5 ›› Issue (1) : 136-156.

PDF(1162 KB)
PDF(1162 KB)
Journal of Marketing Science ›› 2025, Vol. 5 ›› Issue (1) : 136-156.
Special Topic: Digital Intelligence Marketing

A Study on Re-targeting Strategy for In-Feed Advertising:The Perspective of the User's Dynamic Information Processing

  • Xiao Bangming, Zhang Hao,Liu Sizhe
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Abstract

The dynamic and responsive nature of feed-based media platforms grants users the freedom to filter and block information, while simultaneously allowing the platform to adjust its subsequent content delivery strategies based on user feedback. Currently, the behavior of users blocking feed advertisements is widespread; however, the findings of traditional ad avoidance research cannot be directly applied to the context of retargeting in feed ads. From the perspective of user dynamic information processing, this research explores users’ In-feed naive advertising blocking and redirection strategies in different information processing states. Through mining and analysis of a large amount of observation data combined with laboratory experiments, the results show that for users who are in the fast processing mode to block In-feed native advertising, the subsequent promotion of advertisements for different types of products can bring more positive advertising attitudes; For users who are in the slow processing mode to block In-feed native advertising, the subsequent push, and blocking of similar products can bring a more positive advertising attitude. The research conclusions have management implications for the practice of In-feed native advertising.

Key words

in-feed native advertising; advertising blocking; re-targeting; information pro-cessing mode; information processing fluency

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Xiao Bangming, Zhang Hao,Liu Sizhe. A Study on Re-targeting Strategy for In-Feed Advertising:The Perspective of the User's Dynamic Information Processing[J]. Journal of Marketing Science. 2025, 5(1): 136-156
PDF(1162 KB)

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