Financial Glossary
Cohort Analysis
Cohort analysis is an analytical method that groups customers (or users or employees) into cohorts based on a shared characteristic -- most commonly their acquisition date (the month or quarter they first became a customer) -- and then tracks each cohort's behavior over subsequent periods. This approach reveals how different cohorts perform over their lifetime, isolates the effect of product or policy changes on specific groups, and avoids the averaging distortions of aggregate metrics. Common cohort metrics include retention curves (what percentage of a cohort is still active at month 1, 3, 6, 12), revenue per cohort over time, and average lifetime value by acquisition source.
Problem & Application
A campground membership program acquires 100 members in January, 120 in February, and 150 in March. By month six, 65 of the January cohort are still active (65% retention), 84 of the February cohort (70% retention), and 112 of the March cohort (75% retention). The trend -- improving retention in newer cohorts -- signals that a product change (perhaps better onboarding or a new amenity) is working. Without cohort analysis, the aggregate retention figure would blend the cohorts and mask the improvement. For SaaS companies, cohort analysis by acquisition channel identifies whether paid-search customers retain better than referral customers -- a critical input for LTV:CAC decisions by channel. For STR and campground operators with annual membership programs, cohort analysis by booking origin (direct, OTA, referral) and membership tier reveals which segments have the best repeat-stay economics -- directly informing where to focus marketing spend.
In Short
Cohort analysis is a powerful tool for understanding customer behavior and lifecycle trends. Businesses can use it to enhance decision-making and drive long-term customer engagement.