How to do Funnel Analysis with SQL and Python

This post details how to perform funnel analysis using SQL and Python. It explains the concept of funnel analysis, introduces the AIDA model, and provides a step-by-step guide to building and interpreting funnels using a simulated e-commerce dataset. The post includes SQL queries for event counts and Python code using Plotly to visualize funnel charts. It also discusses how to assess funnel health by comparing observed pass-through rates to business goals and provides a Python function to identify the stage with the largest customer drop-off.