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The company cited a 100% uplift in Mexico’s average audience versus the 2022 World Cup, which had led to “excellent new customer acquisition” during the tournament.
The supplier’s total B2B revenue increased 14% YoY to €394.8 million, while adjusted EBITDA
increased 75% to €128.1 million.
The only market to report a loss for B2B during the period was the UK, down 8% to €59 million. Playtech said the market was impacted by “certain customer-specific changes and increased Remote Gaming Duty”.
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The 62-minute hearing featuring Kalshi and a prominent lobbyist from the American Gaming Association provided a blueprint for the state’s evaluation of prediction markets next year. Before the calendar turns to 2027, though, stakeholders will monitor races for governor, attorney general and the US Senate on election night. The results in all three Texas races will likely have a major impact on the future of prediction markets inside the state.
Convened by Texas State Senator Bryan Hughes, the hearing in the Senate Committee on State Affairs examined the relationship between federally regulated derivatives markets and state-prohibited gambling. Research from Eilers & Krejcik Gaming in April found that 43% of activity from sports event contracts came from two states, Texas and California. A separate breakout of Texas activity alone is not publicly available.
At Tuesday’s hearing, AGA Vice President Tres York testified before the committee alongside Robert DeNault, head of enforcement and legal counsel at Kalshi. The AGA, one of the nation’s most strident critics of prediction markets, argued that an event contract on the Cowboys to beat the Giants does not differ fundamentally from the same wager placed at a sportsbook.
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The first was direct marketing (emails, texts, push notifications). Citing randomised studies, the committee noted that limiting direct marketing resulted in reduced betting and fewer short-term harms.
Referencing an Australian study on direct marketing and its link to gambling harms, Dr Philip Newall, senior lecturer at the University of Bristol noted that “causality was established by getting a random subset of participants to opt-out of receiving direct marketing offers”.
It was found that “this group then self-reported significantly lower expenditure and harms [ … ] over the next two weeks”.