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PAYMENT PROBABILITY

— gambling BETMASTER

the Challenge

BETMASTER had to wait, on average, 30 days to know accurately if users who were registering on the site would remain active after spending the courtesy amount that the company gives to new players.

the Proposal

We developed a predictive algorithm to identify players with high probability of remaining active on the site and therefore motivate them efficiently.

We collected and grouped historical data from the company, such as the number of bets placed,

user characteristics (geolocation, activity, among others),

win records, and several aspects of each player’s bets

THE IMPACT

We predicted 90% of the users who remained active on the site.

Thanks to efficient motivation strategies focused on users with a higher probability of becoming active players, we increased the number of users by 35% YoY.

We predicted 90% of the users who remained active on the site.

Thanks to efficient motivation strategies focused on users with a higher probability of becoming active players, we increased the number of users by 35% YoY.