CRM, Retention & VIP
RFM & Player Value Segmentation
Recency, frequency and value segmentation adapted to gaming, with product mix and risk indicators layered on top

CRM, Retention & VIP · Segmentation & Predictive Models
Models that flag players likely to churn early enough for CRM to act, along with the reasons behind the risk
We analyse your player data to find what predicts churn, from session patterns to product mix and payment friction. A scoring model feeds your CRM so retention campaigns reach the right players at the right time. Players showing markers of harm are routed to safer-gambling interactions instead of offers.
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CRM, Retention & VIP
Recency, frequency and value segmentation adapted to gaming, with product mix and risk indicators layered on top
CRM, Retention & VIP
Early predictions of player lifetime value that help CRM, VIP and acquisition teams decide where effort is worth spending
CRM, Retention & VIP
Decision logic that chooses the most useful message for each player, including the option of sending nothing at all
CRM, Retention & VIP
Recommendation models that suggest slots and table games each player is likely to enjoy, across email, push and the lobby
CRM, Retention & VIP
Profiles of each bettor's sports, leagues, teams and bet types that power relevant fixture and odds content in CRM
CRM, Retention & VIP
Uplift models that separate players who return because of an offer from those who would have played anyway