Augmenting Advertiser Decision Support with Generative AI and Interactive Analytics

In the competitive landscape of advertising, decision-making can be complex and multifaceted. To support advertisers in navigating this landscape, we introduce a novel framework that integrates Generative AI with interactive analytics. This innovative approach aids in enhancing decision support by delivering actionable data insights and enabling automated content generation tailored to specific marketing campaigns. By merging user-friendly analytics tools that facilitate data visualization with Generative AI's capabilities, advertisers can access real-time data to inform their strategies. This system not only enhances efficiency in decision-making but also promotes personalized marketing content creation that captures audience interest more effectively. Comprehensive evaluations highlight the framework's effectiveness in improving advertising performance and user engagement. The integration of Generative AI with interactive analytics tools marks a significant advancement in the advertising sector, providing marketers with the resources needed to effectively tackle intricate decision-making challenges.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/iccea65460.2025.11103197
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Augmenting Advertiser Decision Support with Generative AI and Interactive Analytics

Shujian Chen, Minhui Xie
Big Data and Business Intelligence
article

Augmenting Advertiser Decision Support with Generative AI and Interactive Analytics

Shujian Chen, Minhui Xie
article en

Abstract

In the competitive landscape of advertising, decision-making can be complex and multifaceted. To support advertisers in navigating this landscape, we introduce a novel framework that integrates Generative AI with interactive analytics. This innovative approach aids in enhancing decision support by delivering actionable data insights and enabling automated content generation tailored to specific marketing campaigns. By merging user-friendly analytics tools that facilitate data visualization with Generative AI's capabilities, advertisers can access real-time data to inform their strategies. This system not only enhances efficiency in decision-making but also promotes personalized marketing content creation that captures audience interest more effectively. Comprehensive evaluations highlight the framework's effectiveness in improving advertising performance and user engagement. The integration of Generative AI with interactive analytics tools marks a significant advancement in the advertising sector, providing marketers with the resources needed to effectively tackle intricate decision-making challenges.

Carnegie Mellon University (US), Columbia University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 66%
Big Data and Business Intelligence
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Augmenting Advertiser Decision Support with Generative AI and Interactive Analytics — Shujian Chen, Minhui Xie · (2025) | TGRS Research Map | TGRS