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How to play Dragons Clusterbuster
A Detroit business owner will soon face city scrutiny after permitting crypto-based prediction market platform Polymarket to paint an advertisement on a water tower located on his industrial property.
The Detroit Free Press reported on Wednesday (Sept. 16) that a water tower located northeast of the downtown city was recently painted and branded with Polymarket’s likeness. The water tower is located just off Interstate 94 at Mount Elliott Street, Exit 217.
The water tower is specifically located at the business of Mount Elliott Crushing, a recycler of concrete products. While the water tower is on private land, the City of Detroit requires that permits be secured for advertisements on such structures.
How to play Dragons Clusterbuster
The investing and news site announced last week that it halted an arrangement in which it used Polymarket prediction market data for a dedicated hub on the website.
That relationship ended in April, just six months after it started. Yahoo Finance confirmed the end of that agreement to Bloomberg but noted that Polymarket remains an advertising partner.
“The new hub will display probability data from Polymarket for key economic, government, & market outcomes,” said Polymarket in a post on X last November. “Each probability view will be paired with related news, quotes, & analysis from Yahoo Finance + its partners. By combining trusted data with in-depth analysis, the hub will empower investors to make smarter, more strategic prediction market investments.”
What is Dragons Clusterbuster?
Sportsbook operators have an inherent advantage over prediction markets in that the former can offer significantly larger sign-up and retention bonuses and gaming companies are leaning into those expenditures this football season.
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.
