Blood Shadow

About Blood Shadow

Of the KSA’s update, Fuchs said: “If you [as an operator] have a clean sheet, there are some hoops, but for various modules you can just send a declaration which states that you’re compliant.”

He emphasised the new system would make burdens less demanding than before, but the new ‘exit plan’ requirement and sharper duty‑of‑care definitions do bring some added complexity.

The KSA said that applicants were previously required to detail corrective actions taken to address previous breaches and outline measures to prevent future violations.

How to play Blood Shadow

Advertising prohibited: Direct or indirect marketing communication regarding betting on radio and television, newspapers, magazines, outdoor media, streaming services, podcasts, social networks, video platforms, apps, websites, blogs, forums, search engines and other internet environments is prohibited.

Messaging and targeted advertising: The restriction also extends to instant messaging, SMS, email, notifications, advertising automatically targeted by algorithms, telemarketing – which shows ads again to people who have already been exposed to certain content – and profiling based on user behaviour.

Other means of dissemination: The prohibition includes advertising in electronic games and esports, sports uniforms and equipment, public transport and affiliate content, tipsters, comparison sites and other paid intermediaries.

What is Blood Shadow?

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.