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
Churn definitions and propensity scores tailored to casino and sportsbook rhythms, feeding timely, relevant retention journeys
A sportsbook player who takes the summer off is not the same as a casino player who stops logging in. We define churn per product and player type, build propensity models that flag rising risk, and pass scores to CRM with the drivers behind them. Players showing harm markers are routed to safer-gambling processes, never to reactivation offers.
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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
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