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Unlike regulated sportsbooks, prediction markets allow customers between the ages of 18 and 21 to trade on sports-event contracts. Craig Carton, a sports talk host with WFAN 660 AM in New York, criticised the athletes for their endorsement of Polymarket. Carton, a recovering compulsive gambler, opined that the “unregulated” gambling markets are driving Americans into bankruptcy and kids out of school. Regulated books prohibit those under 21 from betting on their platform, leading Carton to question the celebrities for promoting the company.

“At what point does someone come along where you say no to the offer?” Carton asked.

A Bank of America study released on 1 September found that the median deposit account balance of households that participated in online betting was 59% higher than households that avoided the activity. As prediction markets rapidly expand alongside traditional sports betting, the findings have prompted “some to blur the lines between entertainment and investment”, according to a proprietary study undertaken by BofA.

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That growth reflects the expanding number and variety of sports contracts. ITF tennis is particularly dependent on official data because its more than 60,000 annual matches are not generally televised. Unofficially monitoring a tour moving between locations such as Bogotá and Bali would be difficult, Monk noted.

Streaming is also becoming part of the product. Monk said prediction market interfaces had moved beyond their earlier trading-led presentation to incorporate streams, player propositions and combinations resembling sportsbook bet builders.

“It was still very much a trading kind of UX,” he said of Kalshi at the beginning of the year. “The actual product offering has come a long way.”

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Promotional spending is nice and has proven to be an effective customer acquisition tool, but both sportsbooks and prediction markets would do well to emphasize bespoke experiences for clients because they’re looking for customization.

“Twelve percent of respondents have switched platforms because another offered personalization aligned with their interests, while 9% said recommendations based on their interests would make them more likely to try a prediction market,” concludes Fullstory.

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