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AI in game lobby personalization
The game lobby in iGaming is often underestimated. Many operators still perceive the lobby as an interface layer: a catalog of games, a set of filters, several
AI in iGaming: where it truly drives growth and where it remains marketing wrapping
AI in iGaming today appears in almost every second product, CRM, or investor narrative. Operators talk about personalization, recommendation systems, smarter CR
ML in player segmentation in iGaming
Player segmentation in iGaming has long ceased to be a simple division of the base into “new,” “active,” “sleeping,” and “VIP.” In a mature market, this approac
AI in player segmentation in iGaming
Player segmentation in iGaming has long ceased to be a simple division of the base into “new,” “active,” “sleeping,” and “VIP.” In a mature market, this is no l
ML in churn prediction in iGaming
Churn in iGaming rarely looks like a single event. A player does not wake up one morning and make a rational decision “to stop playing with this brand.” Usually
AI in bonus mechanics of online casinos
Bonus mechanics in online casinos have long been built on a fairly simple logic: welcome for new players, reload for active ones, reactivation for “sleeping” us
ML in VIP management in iGaming
VIP management in iGaming is one of those functions where the cost of error is especially high. In the mass segment, an inaccurate CRM scenario or a weak bonus
AI in VIP management in iGaming
VIP management in iGaming has long ceased to be simply “manual work with high rollers.” In a mature market, it is a distinct layer of commercial strategy where
AI in churn prediction in iGaming
In iGaming, churn prediction has long ceased to be an academic exercise from the category of “let’s try to predict churn.” In a mature market, this is one of th