End-to-End RevOps & Customer Behavior Analysis for Retail Growth Optimization

This project focuses on understanding customer churn, retention, and revenue dynamics to help businesses make smarter strategic decisions. The dashboard integrates key performance indicators (KPIs), cohort analysis, and predictive insights to identify high-value customers, analyze churn patterns, and highlight revenue at risk.

Key components include:

Churn Analysis: Breakdown of churned customers, churned revenue, and VIP customer losses to quantify the business impact.

Customer Segmentation: Evaluation of churn and retention trends across customer value segments (High, Medium, Low, VIP) to prioritize engagement strategies.

Cohort Analysis: Month-over-month retention tracking to monitor how long customers stay active after acquisition.

Revenue Impact: Insights into how churn affects overall and VIP revenues, with trend lines for monitoring improvements or declines.

Action Priority Framework: A classification of churned customers into urgency levels (urgent action, monitor, personal outreach, email nurture) to guide retention strategies.

Predictive Analysis: Comparison of current revenue with predicted customer lifetime value (CLV) to highlight future growth opportunities and at-risk accounts.

Overall, this project delivers a comprehensive view of customer health and revenue impact, enabling non-technical business leaders to understand churn drivers, prioritize actions, and invest in the most effective retention strategies.