Commercial
Cohort Analysis
Definition
A retention and revenue analysis method grouping players by acquisition period (week, month, campaign) and tracking their behavior over time.
Why it matters
Cohort analysis is the standard analytical method for understanding LTV, retention, and product changes in iGaming. By grouping players by when they were acquired (and often by channel and campaign), operators can see how revenue per cohort decays or sustains over months and years. The shape of the curve reveals retention quality; comparing curves between cohorts reveals the impact of product changes, marketing strategy shifts, or regulatory interventions.
Cohort analysis is foundational to LTV modeling. Realistic LTV projections come from extrapolating partial cohort curves out to expected end-of-life, calibrated against fully-decayed historical cohorts. The discipline also enables clean attribution analysis: a marketing campaign's true value isn't its CAC, it's the LTV of the cohort it acquired against the cost. Operators that don't run rigorous cohort analysis tend to overspend on channels with strong immediate CAC but poor retention.
Frequently asked questions
How long does it take to fully evaluate a cohort?
Depends on the operator's player lifetime distribution. Most cohort curves stabilize at around 24 to 36 months, after which marginal LTV contribution is small. Operators typically wait 12 to 18 months before treating cohort estimates as reliable predictors.
How does cohort analysis relate to A/B testing?
A/B tests typically run on short-window metrics (deposit conversion, session engagement). Cohort analysis is needed to verify that short-window wins translate into long-window LTV. Some A/B-improved conversions hurt cohort retention because they're sourcing lower-value players. Cohort analysis is the longer truth.