Kindred partners with EASG to promote Bettor Time

Kindred Group has struck an alliance with the European Association for the Study of Gambling, which will see the promotion of an app that can help identify early signs of gambling addiction to its customers.

This online gambling group has committed to zero revenue from harmful gambling by 2023, with this partnership to contribute towards achieving this target.

The Bettor Time app has been developed by Zafty Intelligence, which specialises in mobile mental health assessment, using proprietary machine learning software to identify unique changes in user behaviour associated with mental health issues. It will first be available to all Android customers, with iOS to follow.

On the surface, the self-control app is essentially a time tracker that monitors a user’s time spent on gambling-related activities across all operators. To measure their use, the app timestamps recognised gambling products that are open and front of screen.

“For us promoting the Bettor Time App is a given and it is in line with our commitment of zero per cent revenue from harmful gambling by 2023,” Maris Catania, head of responsible gambling and research at Kindred Group, said of the collaboration.

“The technology behind this app with Zafty’s unique machine learning algorithms that take the recorded activity and learn each user’s normal behaviour is very interesting. 

“This app can help users make better informed decisions about their gambling. We are proud to promote this app and I recommend other operators to follow.”

Bettor Time is managed by the EASG, who will control and distribute the aggregated anonymised user data for academic research. The aim will be to share access to this app across all markets and the wider industry, ensuring that operators can offer their customers access and improve their responsible gambling efforts based on any research conducted.

The app utilises Zafty’s machine learning algorithms, which take the recorded activity and learn each user’s normal behaviour. Once this baseline has been established, the system can monitor changes in activity that might indicate early signs of problem behaviour; for example, a player who regularly bets for two hours on a Saturday morning who starts to play at midnight on a Tuesday.

Based on the level of change in the user’s behaviour, the app will recommend tailored features and support that will help the user to restore their gambling behaviour to a healthy level.

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