About this app
What is Wild Beans?
Here, advertising for online betting sites is positioned differently. Presented as news, the content talks about the highest odds on the market, features offered by operators, regulatory changes and various cases of bettors, ranging from those who made huge financial gains to those who lost everything.
It is very common among the different profiles identified to refer to regulatory bodies, such as the National Advertising Self-Regulation Council and SIGAP (Brazil’s betting management system). They also speak of responsible gaming in a generic way. In many cases, this is associated with illegal operators and potentially irregular advertising practices.
In this context, the regulations developed to protect players begin to function as a means of legitimisation, with illegal operators even using the term “authorised” in their communication and the “.bet” extension in their domain, which is intended only for licensed operators.
About Wild Beans
Kevin O’Neal, a DOCV board member, argued the scale of the investigation calls the GGL’s broader black market estimates into question. He cited the regulator’s 2025 activity report, which put the 2024 share at 23% (€547 million in gross gaming revenue), against Nielsen data suggesting a share of around 56%.
The trade body has long been critical over the discrepancy between channelisation estimates made by the regulator, and other independent reviewers.
The DOCV reinforced its calls for a unified federal licensing regime for online casino games and stronger enforcement mechanisms against illegal operators.
About Wild Beans
“[At] above roughly 150 players per manager, personal knowledge stops scaling. The fix is not fewer players or more managers – it is showing each manager which few accounts actually need them today,” she added.
Satisfaction with existing tools scored an average of 6 out of 10. Co-author Gali Hartuv, CEO and co-founder at WarriorLab described this “middling satisfaction” as “the most expensive kind”.
While VIP managers welcomed AI for prioritising their workload, the report suggested they remained cautious about delegating a final judgment to opaque automated systems.