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
Casino value models that use theoretical win from turnover and RTP, adjusted for bonus cost and jackpot contributions
Casino GGR is noisy at player and cohort level because of volatility and occasional big wins. We calculate theoretical win from turnover and each game's return to player, adjust for bonus cost, jackpot contributions and provider fees, and compare it with actual results over time. Live casino and slots are modelled separately because their margins and volatility differ.
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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
Models that predict each new player's lifetime value from early behaviour, so channels are judged in weeks rather than months
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