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GiG exited the B2C space in 2023 when, after a strategic review, the company split its media and platform divisions, the former of which was rebranded as Gentoo Media.

The 888Africa acquisition announcement raises questions about why GiG have opted to return to the B2C sphere. Richards warns against over-analysing the deal as a wholesale return to B2C, insisting that GiG remains a B2B platform and tech business at its core.

Asked why GiG had returned to B2C, Richards explains the decision was threefold.

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The old adage “Everything is Bigger in Texas” does not refer solely to the state’s massive geographic size, which, at 268,820 square miles, ranks as the second-largest state in the US behind Alaska.

Instead, the phrase embodies the ethos of the Lone Star State, where Texans demonstrate a sense of pride and identity that exemplifies the state’s outsized persona. As event contracts proliferate, the adage could be applied to prediction markets, where volume ranks among the highest in the nation. Last Sunday, for instance, trading activity for an NFL matchup between the Dallas Cowboys and the New York Giants topped $208 million across US markets, figures from Aldrin Research show. At Kalshi, volume for the NFC East showdown on Sunday Night Football eclipsed that of any NFL regular-season game last year.

The volume is not only seen across NFL markets, but also on those in college football, which is practically a religion in Texas. When Ohio State faced Texas in a Top 5 matchup on 12 September, volume surpassed 50.7 million contracts traded, according to Odds Shopper, a prediction market tracking site. The robust activity set the stage for an intense legislative hearing three days later in the Texas Senate.

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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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