Optimizing marketing strategies and personalized recommendation systems through precision advertising and customer segmentation with artificial intelligence and business intelligence

Modern marketing strategies have transformed through the combined power of Artificial Intelligence (AI) and Business Intelligence (BI) which improve customer segmentation and personalize marketing activities. This research examines how AI recommendation systems alongside BI tools influence marketing performance through customer interaction and conversion metrics. The research shows how AI and BI technologies produce effective marketing initiatives by analyzing consumer behavior data from transaction histories, browsing patterns, and social media activities. The study shows major enhancements in essential performance metrics including click-through rates and conversion rates with increased customer satisfaction when businesses implement AI-based systems over traditional marketing techniques. The research indicates that businesses using BI tools to implement AI-based customer segmentation achieve better conversion rates across different consumer demographics. Organizations that utilize both AI and BI systems can develop market advantages by improving customer targeting methods and enhancing their advertising approaches. The study offers important information that helps businesses boost their marketing performance while keeping pace with changing consumer behaviors in a competitive environment.

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Publication Details

Journal
Advances in Operation Research and Production Management
Published
2025-04-02
DOI
https://doi.org/10.54254/3029-0880/2025.21864
Citations
2
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
4.15
Controls
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article

Optimizing marketing strategies and personalized recommendation systems through precision advertising and customer segmentation with artificial intelligence and business intelligence

Zhujun Wang
2 citations
Advances in Operation Research and Production Management
Customer churn and segmentation
4.15
article

Optimizing marketing strategies and personalized recommendation systems through precision advertising and customer segmentation with artificial intelligence and business intelligence

Zhujun Wang
article en
2 citations

Abstract

Modern marketing strategies have transformed through the combined power of Artificial Intelligence (AI) and Business Intelligence (BI) which improve customer segmentation and personalize marketing activities. This research examines how AI recommendation systems alongside BI tools influence marketing performance through customer interaction and conversion metrics. The research shows how AI and BI technologies produce effective marketing initiatives by analyzing consumer behavior data from transaction histories, browsing patterns, and social media activities. The study shows major enhancements in essential performance metrics including click-through rates and conversion rates with increased customer satisfaction when businesses implement AI-based systems over traditional marketing techniques. The research indicates that businesses using BI tools to implement AI-based customer segmentation achieve better conversion rates across different consumer demographics. Organizations that utilize both AI and BI systems can develop market advantages by improving customer targeting methods and enhancing their advertising approaches. The study offers important information that helps businesses boost their marketing performance while keeping pace with changing consumer behaviors in a competitive environment.

Advances in Operation Research and Production ManagementVol. 4(1)
City University of Hong Kong (HK)
Openalex Percentile: Top 7%
Customer churn and segmentation
4.15
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