Cohort analysis

This post introduces cohort analysis as a method for understanding customer behavior, specifically focusing on retention. It details how to define cohorts based on the month of first purchase, process e-commerce data to calculate customer retention over time, and visualize this data using relative and absolute retention matrices. The technical implementation involves using pandas for data manipulation, matplotlib and seaborn for visualization, and calculating period numbers to track customer activity relative to their initial purchase month.