The Challenge: How do you transform thousands of transaction records into actionable business intelligence? The client needed answers to critical questions: Which customers are at risk of churning? What drives repeat purchases? Where should they focus their marketing efforts?
My Approach: I dove deep into SQL analytics, building comprehensive queries for:
RFM segmentation to identify customer value tiers
Cohort analysis for retention patterns
Geographic performance mapping
Product category profitability analysis
Predictive churn risk modeling