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It is said that all great poker players have an exit strategy, and that theory should hold for all those who bring the game to fans and players, too. Calvin Ayre has been at the personal and professional forefront of poker coverage for many years.
For so long, CalvinAyre.com has been a beacon in the poker reporting landscape but as the outgoing incumbent of this position of privilege, I haven’t been at the centre of this role for so long as to claim anywhere near all the credit.
A huge thanks for his outstanding reporting on this site should go to Lee Davy, who for many years, brought poker to life on Calvin Ayre. I personally owe a huge debt of gratitude to Lee for the efforts he made in not only making me feel so well prepared to take up the mantle when he moved on to pastures new, but in establishing the Calvin Ayre brand so well for so many years within the poker world.
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“I started thinking about how to combine the really great monetisation of randomness in casino games with the attention loop of social media platforms,” Yashin says. “The idea was: what if you could bet on the result of a short video or a short TikTok?”
That question eventually became Swipe Games, a Cyprus-based business that is well on the way to establishing swipe games as a casino category in its own right. Still in its commercial infancy, the company has rapidly gained traction across the industry since beginning sales late last year.
Instead of asking players to select individual titles from a conventional lobby, Swipe Games takes its cues from the social-media feed. Players enter an endless stream of short videos and have three to five seconds to choose between three possible outcomes. For example, in a football penalty shoot-out game that could mean a goal, miss or a save.
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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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