Analytics & Tracking
Player Behaviour Analytics
Cohort, product and behaviour analysis that explains how players find, play and stay across casino and sportsbook

Analytics & Tracking · Player Value Modelling
Models that predict each new player's lifetime value from early behaviour, so channels are judged in weeks rather than months
Waiting a year to learn whether a campaign paid back is too slow. We train predictive LTV models on early signals such as deposit cadence, product mix and verification speed, validate them on held-out cohorts, and publish predictions by player, channel and market. Predictions are refreshed as players mature, and accuracy is tracked openly.
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Analytics & Tracking
Cohort, product and behaviour analysis that explains how players find, play and stay across casino and sportsbook
Analytics & Tracking
Churn definitions and propensity scores tailored to casino and sportsbook rhythms, feeding timely, relevant retention journeys
Analytics & Tracking
Data-driven player segments based on product mix, frequency and value, giving CRM, product and acquisition a shared language
Analytics & Tracking
Player value signals sent to Google and Meta so bidding algorithms chase valuable depositors instead of cheap registrations
Analytics & Tracking
Payback curves by channel, market and month that include bonus cost, gaming taxes and commissions, not just deposits
Analytics & Tracking
Bettor value models built on handle and theoretical margin rather than lucky or unlucky results, so good cohorts aren't cut