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“These were serious breaches by Dabble. Wagering providers must have robust systems in place to protect people who have chosen to self-exclude,” Lidgerwood added.
Tabcorp Holdings Limited, one of Australia’s largest wagering and media companies was also fined more than AU$2.7 million earlier this year. ACMA clarified that Tabcorp had violated telemarketing and spam regulations over a 16-month period.
It had sent over 217,000 marketing emails and SMS messages within a 16-day window to customers who had explicitly unsubscribed. ACMA regarded the volume and timing of these messages as significant enough to warrant enforcement action.
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While the Polymarket/Yahoo Finance situation is one of the earliest examples of a severed relationship between a prediction market operator and a media entity, that doesn’t mean those “divorces” will permeate the two industries.
There’s widespread belief that old guard media companies are incentivized to feature event contract data on their sites or reference it in select publications as a way of better connecting with younger readers and viewers.
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.
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The consumer battle in prediction markets is increasingly visible. Kalshi, Polymarket and newer entrants are expanding their sports products, while DraftKings, Flutter, Robinhood and a host of others are investing in exchanges, distribution and market-making capabilities.
In fact, behind those brands, a whole new sector is taking shape. Data and streaming suppliers, specialist market makers and technology companies are quickly invading the space.
The investment banking and capital markets firm Jefferies said in a September report that sports had become prediction markets’ “most important liquidity driver”, with combo and parlay-style contracts accounting for an increasing share of activity. But the analysts cautioned that prediction markets are scale businesses with relatively low revenue yields, leaving their economics dependent on sustained liquidity, engagement and trading activity.
