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
Poker value models that weigh rake, rakeback cost and each player's contribution to healthy table liquidity
In poker, a player's worth is more than the rake they pay, because recreational players keep games attractive for everyone else. We model net rake after rakeback and promotions, tournament versus cash game value, and liquidity contribution by stake and time of day. Marketing gets clear guidance on which player types to acquire and which ecosystems to protect.
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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