Cohort Analysis
Grouping customers by a shared starting point (like signup month) to compare how their behavior changes over time.
In practice
It reveals patterns that a single blended average hides - like whether customers acquired through a recent promotion actually stick around and keep buying, or churn faster than customers acquired through other channels.
A business compares customers who signed up in January against those who signed up in June, and finds the January cohort has a noticeably higher repeat purchase rate.
Why it matters
It surfaces problems and wins a single blended average hides completely - like a channel bringing in customers who buy once and never return, dragging retention down invisibly.
Worth knowing
- Cohorts are usually grouped by signup date, first purchase date, or acquisition channel.
- Reveals whether product or onboarding changes actually improved retention for newer cohorts.
- Most useful when tracked consistently over the same intervals across every cohort.
Start the conversation
Let's talk it through
Tell us where things stand with putting cohort analysis into practice and we'll respond with next steps, no forms, no waiting in a queue.
- A specialist replies directly, not a support queue
- Whichever channel is fastest for you, call, WhatsApp or email
- No long-term contract to start the conversation
