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Dio Rizkyandita

Paper · Published

CLV-Enhanced RFM Framework for Customer Segmentation in Indonesian SMEs Using K-Means Clustering

Universitas Mataram May 2026

Abstract

This study examines Recency, Frequency, Monetary (RFM) metrics and Customer Lifetime Value within the context of MSMEs in Indonesia, specifically in the city of Mataram. The research focuses on F&B businesses particularly coffee shops exploring how to capture customer value through segmentation and translate these insights into sound business decisions that ensure the sustainability of MSMEs.