The model examined play frequency, account balances, loss-to-wager ratios, and a separate estimate of whether a user was likely to stop gambling altogether, according to the Times. A higher score meant a customer was predicted to generate more revenue per promotional dollar spent.

Jayden Butts, a former DraftKings data analyst, described the underlying logic to the Times: “We are looking for traits and features that we can target that indicate a good investment.”

The best investment would be a problem gambler. (According to Jayden Butts, former DraftKings data analyst, to The New York Times)

DraftKings executives said data science and analytics improved promotion-driven sportsbook margins by 13% in 2025, and that AI helped personalize hundreds of millions of dollars in promotional spending, according to the Times.

    • dogdeanafternoon@lemmy.ca
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      4 days ago

      Prediction markets are a shit show. 100% shouldn’t be allowed to exist.

      I’m not against sports betting/casino gambling, but I really wish there would be some regulation.

      The algorithm should detect problem gamblers and ban them, or have forced cooldowns, not encourage them to spend more.

      • Fluffy Kitty Cat@slrpnk.net
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        4 days ago

        It’s also a gold mine for intelligence. There’s already been cases where people of placed bets on classified information