CRM, Retention & VIP
Churn Analytics & Prediction
Models that flag players likely to churn early enough for CRM to act, along with the reasons behind the risk

CRM, Retention & VIP · Segmentation & Predictive Models
Recency, frequency and value segmentation adapted to gaming, with product mix and risk indicators layered on top
Classic RFM segmentation needs adapting for gaming, where a high-value player can also be a player at risk. We build value segments from recency, frequency, deposits and net gaming revenue, add product preference and tenure, and keep a separate risk dimension so value never overrides safer-gambling signals. Segments are pushed to your CRM and refreshed automatically.
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CRM, Retention & VIP
Models that flag players likely to churn early enough for CRM to act, along with the reasons behind the risk
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