What is Cohort Analysis?
Cohort Analysis is a core concept in modern B2B revenue. Here is a clear, accurate definition, why it matters, and how Ardovo handles it.
Short answer
Cohort analysis groups customers by a shared start characteristic, usually the period they signed up, and tracks how each group behaves over time. It reveals retention, expansion, and churn patterns that blended averages hide, showing whether newer cohorts perform better or worse than older ones as the business changes.
Key takeaways
- Groups customers by signup period or shared trait.
- Tracks retention, revenue, and behavior over time per group.
- Exposes trends that blended averages conceal.
- Shows whether newer customers behave better than older ones.
Why it matters
Averages hide the truth. Cohort analysis reveals whether a product change improved retention or whether growth is masking a worsening base, which single aggregate numbers cannot show.
How Ardovo handles it
Ardovo builds cohorts from your live customer data and tracks retention and expansion by cohort automatically, so you can see whether recent changes are improving how customers behave over time.
Frequently asked questions
Why use cohort analysis instead of averages?
Averages blend old and new customers and hide trends. Cohorts isolate each group so you can see, for example, whether customers who joined this quarter retain better than last year's, revealing real progress or decline.
What can you learn from cohort analysis?
Retention curves, payback timing, expansion patterns, and the impact of product or pricing changes. It answers whether the business is getting healthier over time, not just bigger.