Churn rate is the share of active players who become inactive over a period — the mirror image of retention. It is calculated as players lost during the period divided by players active at the start, and it can be measured on the whole base or on a specific cohort or segment.
Definition
Churn rate is the share of active players who become inactive over a period — the mirror image of retention. It is calculated as players lost during the period divided by players active at the start, and it can be measured on the whole base or on a specific cohort or segment.
As with retention, the inactivity threshold must be defined (no bet or no login for 30, 60 or 90 days is common), and the choice affects the figure.
Churn is used two ways. As a health metric it tracks whether the active base is leaking faster or slower over time.
As an operational trigger it feeds retention marketing: when a player's individual churn probability rises — deposits slowing, sessions shortening, a withdrawal with no redeposit — the operator can intervene with a targeted offer or contact before the player is gone.
In context
In iGaming, churn is high and front-loaded: most players who will leave do so within the first few weeks, and the remaining core churns slowly. This means a single blended churn number is nearly useless; it must be split by tenure (new versus established players), by value tier, and by acquisition source.
A rise in blended churn can simply mean a recent large intake of low-quality traffic working through its early drop-off, not a problem with the established base.
Predictive churn modelling uses behavioural features — deposit recency and frequency, bet size trend, session gaps, bonus dependence, support contacts, withdrawal patterns — to score each active player's likelihood of lapsing, so retention spend goes to players who are both at risk and worth keeping. This has a responsible-gambling boundary: the same signals that predict valuable-player churn can also indicate a player cutting back deliberately or after a problem, and win-back marketing must exclude self-excluded and at-risk players and must not pressure someone who is reducing their play by choice.
Ethical churn management retains players who want to stay; it does not chase back players who are trying to stop.
Worked example
An operator's churn model flags a mid-value player: deposits dropped from weekly to none in 18 days, last session half the usual length. Retention sends a modest reload offer and it works.
A second flagged player shows the same pattern plus a deposit-limit decrease and a responsible-gambling page visit; that player is excluded from win-back entirely.
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