Research Paper on Customer Segmentation Using K-Means Clustering And RFM Analysis

Customer segmentation, a crucial step in data driven marketing and personalization, entails breaking up a customer base into discrete groups that share characteristics or behaviors. Simple demographic divisions, like age or income, have given way to more intricate behavioral and psychographic groupings, influenced by preferences, lifestyle choices, and purchasing patterns, as businesses work to better understand their clientele. Businesses can now create highly refined customer segments using advanced analytical techniques and vast amounts of data thanks to technological advancements. These segments inform personalized customer journeys, product recommendations, and targeted marketing campaigns. This section talks about the increasing importance of customer segmentation and how machine learning has increased the range of possible uses for it, allowing businesses to make well-informed decisions supported by data.