📊 Customer Analytics & RFM Segmentation Dashboard
🔗 Live Project:
https://bhanu-kumar-1.github.io/Customer-Analytics-RFM-Dashboard/
📌 Project Overview
This project presents an end-to-end customer analytics solution built using SQL and Power BI. It analyzes customer purchasing behavior, revenue trends, and customer value to support data-driven business decisions using RFM (Recency, Frequency, Monetary) segmentation.
📸 Dashboard Screenshots
Home – Executive Summary

Customer Overview

Customer Segmentation

Project Summary

- SQL (MySQL)
- Power BI
- Excel
📊 Dashboards Included
- Executive Summary (Home Page)
- Customer Overview Dashboard
- Customer Segmentation Dashboard
- Project Summary & Conclusion
🔍 Key Insights
- Champions customers contribute the highest revenue
- Need Attention segment has the largest customer base
- At Risk customers require re-engagement to prevent churn
- Average order value indicates mid-value transactions
💡 Business Recommendations
- Retain Champions through loyalty programs
- Re-engage At Risk customers with targeted offers
- Upsell Need Attention customers to increase customer value
👤 Author
Bhanu Kumar
Tools: SQL | Power BI | Excel