This repository provides tools for analyzing e-commerce conversion funnels and conducting A/B tests. It includes funnel conversion analysis, drop-off analysis, and statistical tests like the two-proportion Z-test and Welch's T-test.
From the README
E-Commerce Growth Funnel & A/B Testing What is this? This project helps analyse an e-commerce conversion funnel and test whether a product change actually improves results. Example funnel: The project can show where users leave the funnel and can compare two experiment groups. How it works Main features • Funnel conversion analysis • Drop-off analysis • Device/source comparisons • A/B testing • Two-proportion Z-test • Welch's T-test • Confidence intervals • Sample-size calculation • Minimum Detectable Effect (MDE) • Streamlit dashboard Files • datagenerator.py — creates sample clickstream data • funnelanalytics.py — calculates funnel metrics • abtestingharness.py — statistical...
Skills
- Python
