eCommerce is the backbone of modern digital businesses, combining technology, data, payments, and customer experience to drive online sales at scale. This repository focuses on the analytics and operational side of eCommerce, helping teams understand what really impacts revenue and conversion.
What this covers:
📊 eCommerce Analytics – funnel analysis, conversion rate optimization, drop-offs, refunds & failures 💳 Payments & Checkout – card flows, Bank account, BNPL, online & offline payments, invoices, success vs failure insights 🤖 Automation & AI – predictive analytics, alerting, and workflow automation 📈 Growth Metrics – AOV, CLV, retention, cohort analysis
🧪 Experimentation – release impact analysis, feature performance tracking
Why it matters:
- Small changes in checkout, payments, or UX can create big revenue swings. By using data-driven decision making, this work helps:
- Reduce payment failures
- Improve conversion rates
- Identify hidden revenue leaks
- Enable faster, smarter product decisions
Who this is for:
- eCommerce Business Analysts
- Product Managers
- Data Analysts
- Payment & Checkout Teams
- New Business Analysts