Betflag Leverages SEON to Combat Bonus Abuse and Improve Efficiency by 20%

BetFlag wanted to keep its generous bonus policy to attract new players but also needed to reduce the amount of bonus abuse its platform had received.

Utilizing SEON’s email and phone lookup data, along with customized rules, helped make decisions on who to onboard effectively without false positives.

This resulted in a 15% drop in bonus abuse and a 20% reduction in the time required for manual reviews.

Challenge

After launching its generous bonus policy, Betflag experienced a surge in individuals creating fake profiles to take advantage of the offered bonuses. To tackle this issue, Betflag relied on manual identity verification processes. This proved time-consuming and inefficient.

Betflag decided to deploy SEON due to its ability to gather a substantial amount of data and provide easy management through the platform. Luigi Settimii, Head of Technology Governance and Demand, stated:

Solution

SEON’s integration with Betflag was remarkably efficient, taking just two weeks for complete implementation and testing. This swift integration facilitated Betflag’s prompt adoption of SEON’s fraud prevention features, resulting in significant savings in time and resources.

Upon integration, Betflag immediately leveraged SEON’s customizable rules and Device Intelligence features. They developed specific velocity rules focusing on IP locations and password hashes to pinpoint potentially risky areas and provide distinct risk scores during the customer onboarding process.

Moreover, Betflag’s use of SEON’s capabilities extended beyond these measures. By conducting in-depth email analysis, Betflag could determine the age of email accounts, adding another layer to their risk assessment strategy. This comprehensive approach exemplifies how Betflag harnessed SEON’s tools to enhance its fraud detection and prevention efforts.

Luigi explained the experience of using SEON:

“The ability to analyze and cross-reference data provided by SEON has been instrumental in identifying our genuine customers while detecting and preventing bonus abusers. It’s been especially crucial for us, identifying suspicious email addresses used solely for gaming the system.”

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Results

The implementation of SEON has resulted in a 20% reduction in the time required for manual reviews, and this has been shown to significantly enhance the efficiency of the verification process. Betflag has also observed a 15% decrease in bonus abuse cases – culminating in a substantial reduction in fraudulent activities.

Luigi concluded by saying:

“We are really pleased with SEON’s evolving platform. Having new updates and functions really enhances our fraud detection and helps us to stay ahead of emerging fraud techniques.”

For more information on Betflag, visit www.Betflag.it