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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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Kendrick sees a warning in the history of betting exchanges. In their early growth phase, there was sufficient retail liquidity for numerous market makers to profit. As that retail pool weakened, the sharper firms increasingly found themselves trading against one another.
His analogy is a poker table at which the weaker participants sustain the game. If those players disappear, the fourth-best professional at the table can suddenly become a loser because only the three strongest remain.
The US addressable market is vastly larger and customer recruitment remains strong. Marantelli says Kalshi increased its number of clients fivefold during the World Cup, while White Swan predicts that NFL prediction markets could generate between $5 billion and $7 billion of liability in a single week.
About Koi Pond
Then there are the financial implications, namely new revenue streams. Prediction market operators typically pay media companies to integrate their data while some outlets also earn referral commissions for driving new business to yes/no exchanges.
At least one well-known cable network has a financial stake in a major prediction market operator.
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