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A survey by Fullstory, a behavioral data analytics company, says that amid the evolution of yes/no exchanges, 60% of bettors said prediction markets are altering how they use sportsbooks with 35% admitting that they’ve reduced usage of traditional sports wagering platforms as access to sports event contracts increased.

“Consumers are being presented with more options for how they can participate in online gaming, creating a more competitive landscape where a seamless digital experience is increasingly becoming part of the value proposition,” said Jason Wolf, president of Fullstory, in a statement. “The brands that understand how consumers are navigating, comparing, and engaging with their platforms in real-time can identify where friction is getting in the way of trust and retention.”

A quarter of respondents said they use both prediction markets and sportsbooks depending on the event they’re considering wagering on. While the 35% reduced use figure may sound like a warning shot to gaming companies, a variety of other studies and surveys indicate that when bettors can choose between a sportsbook and an all-or-nothing exchange, they frequently opt for the former.

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“There’s this huge, proven revenue opportunity, but it’s also about continuity of the brand that exists across the whole platform and the whole offering,” Wilson adds.

Even the most flexible technology cannot do all the work itself. Wilson is blunt about what happens when an operator treats an integration as the end of the job.

“If I just give you one of our games or our jackpot engine and you just plug it in and leave it there to collect dust, you will come back and tell me in three months’ time it’s not working,” he says. “And I will say to you, ‘How have you invested in the product?’”

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The company must also provide data to the firms making markets on those events.

“If we just sold the data to Kalshi in order to list the markets but no one was coming in and placing liquidity, there’s no point in them listing the markets,” Monk said. “We also need to supply the data to the market makers to inform their models.”

Catalist initially received a list of fewer than 10 potential market makers from Kalshi. It has since completed agreements with close to 20 and is engaging with approximately another 20.