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Peru’s regulated market went live in February 2024 and has since attracted a host of international operators, establishing a competitive market that includes legacy domestic operators such as market leader Apuesta Total.

According to Jennyfer Escobar, Stake’s Peru country manager, Peru is one of the most competitive in Latin America. “In the early stages, competition was largely driven by marketing investment, including advertising, sponsorships etc,” Escobar tells iGB. “Today, product quality, platform performance and the overall user experience are becoming much stronger differentiators.

“Players are more informed, have higher expectations and will switch brands if those expectations aren’t met.”

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Three months later, Judge Denise Cote ordered Papaya to pay Skillz $719 million in damages for poaching players from its skill gaming platform on the belief that Papaya had more players and therefore facilitated considerably faster peer-to-peer pairing times.

Papaya, headquartered in Israel, quickly secured a temporary stay of proceedings from the Tel Aviv District Court and filed a Chapter 15 petition with Delaware’s U.S. Bankruptcy Court. The Chapter 15 petition seeks to prevent Skillz from initiating collection efforts until its appeals play out.

Papaya concedes that it cannot immediately pay the $719 million judgment, arguing that allowing the company to pay the penalty over multiple years would “preserve … the rights of all parties.”

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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.