Cohort Analysis
Definition
A cohort analysis compares groups sharing a common starting characteristic or event over time.
Instead of summarizing all users together, customers are separated by first purchase month, campaign, or onboarding week. This reveals retention and behavior over time.
Simply explained
Like viewing birth cohorts separately instead of averaging all individuals together.
Why it matters in practice
Relevant for customer retention, product usage, marketing, and recurring revenues.
Example from business
A company compares how many leads from different months remain active after 30, 60, and 90 days.
Limits and pitfalls
- Defining cohorts incorrectly; comparing different observation windows; overinterpreting small groups.
Origin & history
Cohort analyses originate from statistics, epidemiology, and customer analysis and have been widely operationalized with digital analytics systems.
Use in mid-sized companies
- Possible application in SMEs: comparing retention, activation, or repurchase by acquisition period or customer group.
Frequently asked questions
Is a cohort the same as a segment?
A cohort typically has a shared temporal event; segments can be more general.
Sources
- Cohort exploration · Google Analytics, Cohort exploration
Sources checked on 10.10.2026.
Editorially reviewed on: