Comprehensive E-commerce Analytics built with Python & Streamlit to optimize marketing ROI, conversion funnels, product perfromance, and customer loyalty through data-driven insights.
Project Status: This projeic is Under Development. Features and documentaions are being updated in real-time.
Dataset contains data of an ecommerce retailer. This project aims to transform raw database exports into actionable business intelligence using a modern data stack.
The analysis is structured into four major domains:
1. Marketing Channel Efficieny: Optimizing spend across Gsearch, Bsearch, and social channels.
2. Conversion Funnel Optimization: Identifying user drop-off points from landing pages to checkout.
3. Product Performance: Measuring the impact of products and monitoring refund rates.
4. Customer Lifecycle: Analyzing repeat purchase behavior and long-term user value.