Abstract
User behavior segmentation is a crucial method for understanding and managing customer heterogeneity, enabling enterprises to adopt a data-driven approach to customer classification. This study, based on user behavior data, investigates the role of behavior segmentation in enhancing customer lifetime value (CLV). By systematically collecting and organizing data, calculating key indicators, and estimating lifetime value, enterprises can identify high-value customer segments and develop targeted management strategies. The application of behavior-based segmentation enables optimized marketing resource allocation, improved customer loyalty and repurchase rates, and overall enhancement of CLV. This research offers both theoretical support and practical guidance for enterprises to achieve data-driven customer management and precision marketing.
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How to cite this paper
Application Analysis of User Behavior Segmentation in Enhancing Customer Lifetime Value
How to cite this paper: Xiangping Yu. (2025) Application Analysis of User Behavior Segmentation in Enhancing Customer Lifetime Value. Journal of Humanities, Arts and Social Science, 9(10), 1950-1955.
DOI: http://dx.doi.org/10.26855/jhass.2025.10.019