Fat Santa

About Fat Santa

“Consumers are being presented with more options for how they can participate in online gaming, creating a more competitive landscape where a seamless digital experience is increasingly becoming part of the value proposition,” said Jason Wolf, president of Fullstory, in a statement. “The brands that understand how consumers are navigating, comparing, and engaging with their platforms in real-time can identify where friction is getting in the way of trust and retention.”

A quarter of respondents said they use both prediction markets and sportsbooks depending on the event they’re considering wagering on. While the 35% reduced use figure may sound like a warning shot to gaming companies, a variety of other studies and surveys indicate that when bettors can choose between a sportsbook and an all-or-nothing exchange, they frequently opt for the former.

While sports event contracts are currently the tentpole category for the prediction market industry, data indicate bettors and traders are embracing other categories.

What is Fat Santa?

“They lose quicker, dry up quicker, recruitment or re-recruitment,” he says. “If the recruitment of players dries up, then what are you going to do? Definitely there can be components like that.”

For now, the growth provides room for multiple market makers. Marantelli expects margins to “stay good during the growth period” before contracting as competition intensifies. The more complex RFQ and parlay markets may offer the best protection against that compression.

The result is an emerging ecosystem that looks less like millions of customers casually trading predictions with one another and more like an outsourced sportsbook trading room. Exchanges own the platform and recruit the customers; specialist firms price the risk and provide the money needed to make those markets function.

How to play Fat Santa

After play, some looked to banks or regulatory bodies for oversight on total spend across platforms.

Within this shared model, there was a clear preference for personalised interventions over generic ones. 

Tailored, behaviour-triggered messages were seen as more effective than generic warnings, but many participants simultaneously expressed mistrust towards operators collecting behavioural data.