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Notably, sports bettors prioritised fast and clear information that was delivered without the interventions being disruptive. Casino players wanted accessible explanations and real-time support during play.

Land-based customers often lacked even basic pre-play information, and instead desired subtle, proactive support from staff.

Participants outlined several improvements. Of note were clear and simple financial disclosures, including real-time loss displays and transparent explanations of promotional wagering conditions.

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These are not capabilities that Splash Tech intends to begin developing now the acquisition has completed. Its products are already live with recognised operators including ComeOn, while a number of its free-to-play relationships are entering their fifth year.

Commercial confidentiality prevents Wilson from attaching individual numbers to those partnerships, but he is unequivocal about the jackpot engine’s record. “Every operator or brand that’s launched our jackpot engine has seen an immediate lift in GGR,” he says.

That impact, he argues, comes from preparation as much as product. Splash Tech works with partners to establish expectations and benchmark performance against relevant KPIs before launch. On the free-to-play side, the picture is similarly collaborative rather than automatic.

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“Giving bettors more ways to personalise their wagers around the players and moments they care about was a big takeaway from the tournament and one which continues to inform Kambi’s development of cutting-edge sports betting products,” Lamb says.

Kambi is now rolling out AI trading across other sports, including basketball, ice hockey and American football. Its longer-term ambition extends beyond automating established processes to using the technology to create products that could not previously be delivered at scale.

The aim is an on-demand sportsbook capable of offering the right bet to the right customer at the right time. Lamb believes Kambi’s network of more than 70 partners provides an important advantage in pursuing that goal. More than €17 billion in annual liquidity and billions of bets placed each year give its models a depth of information that can improve pricing, risk management and product development.