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“Just better margins,” he says of that decision. “I think it’s more defendable. It’s the area that fewer people can do well. So I think it’s more defendable margin, more ability to get long-term contracts and beneficial positions.”
Singles can be profitable, but parlay pricing requires the market maker to calculate the correlations between multiple outcomes and respond dynamically to individual requests. It is a skill set built over years in the sharper regions of the existing sports betting ecosystem.
Marantelli identifies White Swan and Susquehanna as two firms operating at industrial scale in parlays, with Jump Trading, Mojo and DL Trading among the possible leading group. Below them are numerous smaller syndicates, some managing between $5 million and $10 million, alongside sports-specific specialists.
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“We would like to see stronger player protection measures across African markets,” Akolade adds. “That includes enforcement of effective age and identity verification, meaningful self-exclusion systems, responsible gambling advertising standards, improved access to counselling and treatment services and stronger action against illegal operators.
“The current landscape pays lip service to responsible gaming, and you’d hardly see effective player protection architecture other than messages asking players to gamble responsibly and surface-level awareness campaigns.
“Having a minimum standard in player protection is one of the aims of the network. Our view is that responsible gaming regulations need to move beyond being paper-based requirements to actual standards that are upheld as a regulatory requirement.”
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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.