生成语法
广告
计算机科学
多媒体
人工智能
业务
作者
Madhav Kumar,Anuj Kapoor
出处
期刊:Social Science Research Network
[Social Science Electronic Publishing]
日期:2023-01-01
被引量:3
摘要
We study the effectiveness of personalized video advertisements created using Generative AI(GenAI). We run a mobile ad targeting field experiment on WhatsApp in partnership with a leading B2C e-commerce brand that sells eco-friendly sustainable products. We randomize users intoreceiving ads from one of three targeting conditions – 1) Generative AI-based personalized video ads, 2) personalized image ads, and 3) generic non-personalized video ads. The first group is our main treatment and the latter two serve as baselines. In the personalized treatment conditions, ad content is tailored to individual purchase histories, while in the generic treatment condition, a uniform brand message is delivered to all users. Our results show that Generative AI-based personalized video ads increase engagement by 6-9 percentage points over the baselines. We explore response heterogeneity across important user segments and find that GenAI-based ads increase engagement among potential “high-value” users and historically “non-engaged” users.
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