This study investigates the impact of personalized AI-generated video advertisements on consumer click-through rates (CTR), aiming to understand the effectiveness of personalized content in the digital advertising landscape. Utilizing a mixed-methods approach, including quantitative analysis and qualitative feedback, we examined the correlation between ad personalization, emotional engagement, and consumer behavior across various demographics. Data collected through a structured questionnaire revealed that personalized ads significantly improve CTR compared to traditional formats, primarily attributable to higher perceived relevance and emotional appeal. The findings suggest that when consumers perceive ads as personally relevant, their likelihood to engage with the content increases, thus enhancing marketing strategies. Furthermore, the moderation effects of perceived relevance on emotional appeal were explored, highlighting the necessity for advertisers to consider consumer preferences to maximize engagement. This research contributes to the evolving discussion surrounding AI in advertising, providing insights into effective personalization strategies that may lead to improved consumer-brand relationships in digital marketing.
Cite this paper
Querch, N. and Zhu, P. (2025). The Impact of Personalized AI-Generated Video Ads on Consumer Click-Through Rates. Open Access Library Journal, 12, e3607. doi: http://dx.doi.org/10.4236/oalib.1113607.
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