Beyond Demographics: How Artificial Intelligence redefines customer segmentation in digital marketing

This article examines the transformative impact of artificial intelligence on customer segmentation strategies in contemporary marketing practices. By leveraging advanced machine learning algorithms, businesses can now transcend traditional demographic segmentation to identify nuanced behavioral patterns, preference structures, and predictive purchase indicators. The article synthesizes empirical evidence from multiple industry sectors to demonstrate how AI-driven segmentation enables the development of hyper-targeted campaigns with significantly enhanced engagement metrics. Through analysis of technological frameworks, implementation challenges, and case studies, this article provides a comprehensive understanding of how predictive analytics can optimize customer lifecycle management, reduce churn, and identify cross-selling opportunities. The article indicates that organizations implementing AI-powered segmentation strategies achieve more personalized customer experiences while simultaneously improving operational efficiency. This article contributes to marketing literature by proposing an integrated framework for AI adoption in segmentation practices while addressing critical considerations in data governance, privacy, and ethical implementation.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-04-13
DOI
https://doi.org/10.30574/wjarr.2025.26.1.1121
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond Demographics: How Artificial Intelligence redefines customer segmentation in digital marketing

N. V. Subba Reddy
World Journal of Advanced Research and Reviews
Digital Marketing and Social Media
article

Beyond Demographics: How Artificial Intelligence redefines customer segmentation in digital marketing

N. V. Subba Reddy
article en

Abstract

This article examines the transformative impact of artificial intelligence on customer segmentation strategies in contemporary marketing practices. By leveraging advanced machine learning algorithms, businesses can now transcend traditional demographic segmentation to identify nuanced behavioral patterns, preference structures, and predictive purchase indicators. The article synthesizes empirical evidence from multiple industry sectors to demonstrate how AI-driven segmentation enables the development of hyper-targeted campaigns with significantly enhanced engagement metrics. Through analysis of technological frameworks, implementation challenges, and case studies, this article provides a comprehensive understanding of how predictive analytics can optimize customer lifecycle management, reduce churn, and identify cross-selling opportunities. The article indicates that organizations implementing AI-powered segmentation strategies achieve more personalized customer experiences while simultaneously improving operational efficiency. This article contributes to marketing literature by proposing an integrated framework for AI adoption in segmentation practices while addressing critical considerations in data governance, privacy, and ethical implementation.

World Journal of Advanced Research and ReviewsVol. 26(1)
Openalex Percentile: Top 90%
Digital Marketing and Social Media
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Beyond Demographics: How Artificial Intelligence redefines customer segmentation in digital marketing — N. V. Subba Reddy · World Journal of Advanced Research and Reviews (2025) | TGRS Research Map | TGRS