Mastering User Segmentation with K-Means Clustering for Hyper-Personalized Recommendations
While many organizations implement broad personalization strategies, a nuanced approach involves segmenting users based on their engagement behaviors and preferences. This deep-dive explores how to utilize K-Means clustering—a powerful unsupervised machine learning technique—to identify distinct user groups, enabling highly targeted content recommendations that drive engagement, conversions, and loyalty. We will walk through actionable steps, practical …