Machine Learning-Inspired Customer Segmentation Analysis

Build a sophisticated customer segmentation tool using advanced Excel techniques that mimics machine learning clustering approaches. Develop a model that uses weighted scoring across multiple dimensions (purchase history, engagement metrics, demographic data) to create dynamic customer personas. Implement conditional formatting and visualization techniques that automatically highlight high-value customer segments and predict potential churn risks.