A Power BI dashboard built to analyze churn behavior across 6,687 customers for a business struggling with unclear retention insights. The dashboard combines geographic churn mapping, category-wise breakdown (Competitor, Attitude, Price), root-cause analysis by churn reason, and demographic segmentation by age group — all powered by Power Query for data modeling and DAX for calculated measures like churn percentage and churn weight. Key finding: price sensitivity drove 62% of churn, and customers under 30 represented the highest-risk segment at 56.6% of total churn weight. The result is a single-page, self-service view that lets stakeholders prioritize retention strategy by actual cause instead of guesswork.