Total revenue can hide important trends. A store can grow overall while each new group of customers is less loyal than the last. Cohort analysis reveals what averages conceal.
Step 1: Group customers by first purchase
A cohort is simply a group of customers who made their first purchase in the same period — for example, everyone who first bought in March.
Step 2: Track repeat behavior
For each cohort, measure what share returned to purchase in month one, month two, month three and beyond.
Averages tell you where you are. Cohorts tell you where you're heading.
— Qelvoryxa Research Team
Step 3: Compare cohorts
If newer cohorts retain worse than older ones, something has changed — acquisition channel mix, product quality, or the post-purchase experience.
Sample repeat-purchase rate by month (%)
Practical recommendations
- 1Start with monthly cohorts and a 6-month window.
- 2Segment cohorts by acquisition channel to compare quality.
- 3Watch the month-one repeat rate as an early health indicator.
Conclusion
Cohort analysis is one of the simplest and most revealing tools in e-commerce analytics. Run it regularly, and growth decisions become much clearer.
Qelvoryxa Research Team
Analysis and insights from the Qelvoryxa team
