E-commerce Analytics Platform with CLV & Churn Prediction

Problem

E-commerce and growth teams managed multiple KPIs (revenue, CLV, churn, product mix) without a unified interactive platform for cohort filtering and time-range analysis. Spreadsheets could not handle real-time dashboard requirements.

Approach

Built a comprehensive analytics platform using Python and Pandas for data aggregation with 15+ interactive Plotly charts. Implemented Customer Lifetime Value (CLV) calculations, churn analysis, and revenue tracking in a multi-page Streamlit application with linked filters. Designed for regular business review cycles.

Result

Live analytics dashboard serving as the single operational review surface for e-commerce teams. Tracks comprehensive KPIs including CLV, churn rates, revenue metrics, sales performance, customer behavior, product trends, and demographic analysis.

• ◆15+ interactive visualizations
• ◆Full KPI coverage: CLV, Churn, Revenue
• ◆Multi-page dashboard with linked filters
• ◆Product trends and demographic analysis