Definition
Churn is the rate at which players stop being active on an iGaming site over a given period. It is the inverse of retention and is one of the most important metrics for evaluating operator health and player lifetime value.
In context
Churn measures the percentage of players who become inactive within a defined period. Monthly churn rates in iGaming typically range from 30% to 60%, meaning a substantial share of active players in any given month will not return the next month.
Churn is calculated at the cohort level: take the cohort of players who deposited in month one and measure how many are still active in month two, three, and beyond.
Churn has multiple causes. Natural churn happens when players lose interest or move to competitors.
Forced churn happens when players self-exclude or are banned for fraud or AML reasons. Bonus-driven churn happens when players sign up solely for a welcome bonus and leave after clearing it.
Game-driven churn happens when an operator catalog becomes stale or fails to add new titles. Each cause requires a different mitigation strategy, which is why churn analysis is segmented by these factors.
Reducing churn is one of the highest-leverage activities in iGaming. A 5% reduction in monthly churn can increase average player lifetime value by 30% or more, since the compounding effect of longer retention multiplies deposits.
CRMs use predictive churn models to flag at-risk players weeks before they actually leave, allowing retention teams to intervene with targeted offers. Common interventions include personalized bonuses, dedicated outreach from VIP managers, and product improvements based on player feedback.
Common operator mistakes include treating all churn as unavoidable, ignoring the difference between natural and forced churn, and reacting to churn only after the player has already left rather than intervening early. Affiliates should monitor operator churn rates as a leading indicator of NGR quality, since high-churn operators generate lower lifetime revenue per player and may revise affiliate commission terms downward to compensate.
Churn data is also a regulatory concern: abnormal churn patterns can signal compliance issues like unauthorized market exits.
Worked example
An operator has 10,000 active players in January and 6,200 of them are still active in February. The monthly churn rate is 38%, which is above the industry benchmark of 30% to 35%.
Related terms
Frequently asked questions
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