In-depth Analysis and Accurate Evaluation of the Life Value of Cross-border E-commerce Consumers based on RFM Model
Abstract
RFM model and K-Means algorithm to identify high-value customers and design targeted marketing strategies. The research evaluates customer value through RFM analysis, segments customers via K-Means clustering, and suggests personalized marketing strategies to enhance
customer satisfaction, loyalty, and market competitiveness. The findings support the development of refined management
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DOI: http://dx.doi.org/10.70711/aitr.v2i9.6870
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