What is Cohort Analysis?
Cohort Analysis is Grouping accounts or contacts by a shared characteristic (signup month, source, segment) and tracking their behavior over time.
Definition
Cohort analysis groups records by a common attribute (month they became a lead, acquisition channel, company size tier) and compares how each group performs over time. In B2B, common cohorts are monthly sign-up cohorts (do January leads convert differently from March leads?), source cohorts (do inbound leads have higher LTV than outbound?), and segment cohorts (do enterprise accounts retain better than mid-market?). The analysis reveals trends that aggregate metrics hide. Your overall conversion rate might look flat while one cohort improves 20% and another declines 30%.
Why It Matters
Aggregate metrics lie by averaging. If your Q1 leads convert at 25% and Q2 leads convert at 15%, your overall rate might show a stable 20%. Cohort analysis surfaces the drop immediately, letting you investigate what changed: did lead quality decline, did the sales process change, or did a market shift affect conversion? Revenue teams that run cohort analysis monthly catch problems 2-3 quarters earlier than those relying on aggregate dashboards.
Example
A SaaS company runs monthly cohort analysis on customer retention. They discover January 2026 sign-ups have 30% higher churn than December 2025 sign-ups. Investigation reveals a January promotion attracted price-sensitive customers who cancel after the discount period. They adjust the promotion to require annual commitment and the next cohort's retention returns to baseline.
Tools for Cohort Analysis
Find the Right Cohort Analysis Tool
Not sure which tool fits your needs? Check out our curated recommendations: