Newsazenplay.comDraftKings said it uses data science and machine learning to select promotional audiences, but denied using AI to identify customers likely to lose. The operator also described eligibility checks and customer-preference data used in its messaging and promotional systems.
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The Washington Post reported that gambling companies collect extensive data on betting behavior, timing and losses, which can be used to model individual customer activity. The article examined how AI and personalization may increase the precision of promotional targeting and player reactivation.
Sportradar describes a player-facing AI recommendation engine that selects sports, events, markets and bets for individual users. The system is designed to personalize sportsbook surfaces from a customer’s first visit through live in-play betting.
BetConstruct AI CEO Lana Yasir said the company is working toward combining recommendation, betting, CRM and risk-management tools into one AI suite. She also described CRM models that identify potential player churn in advance so operators can intervene earlier.