Optimizing marketing strategies and personalized recommendation systems through precision advertising and customer segmentation with artificial intelligence and business intelligence
Year: 2025
Type: article
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.
Author: Zhexu Wang
Institution: City University of Hong Kong (Dongguan)
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409521442