Fraud detection cuts bonus abuse and saves operator $25,000 in a single day
A case study from Frogo demonstrates how behavioural analysis, device fingerprinting and graph-based detection identified 314 fraudulent accounts linked to bonus abuse, preserving $25,000 in promotional spend and reducing abuse rates from 18 per cent to under three per cent over six months.
Did you know that two-thirds of your “new users” acquired through promotions might not even exist? In this case, $25,000 in promo budget was saved. Affiliate traffic brought in 314 new accounts for the iGaming platform. No red flags on the surface: completed registrations, valid-looking emails, bonuses claimed. But the fraud prevention system revealed something was off:
– Unusual device distribution
– Instant deposit request
– The same device fingerprints across dozens of accounts
– Identical payment methods
– Over 90 per cent of traffic came from known VPN ranges.
All 314 accounts were grouped into 30 clusters with shared devices and similar patterns: bonus claim → minimum wagering → immediate payout requests.
The fraud detection system applied behavioral analysis, device fingerprinting and graph-based analysis to flag bonus abusers in real time. It stopped margin leakage by isolating fraudulent traffic within a separate segment.
The results: $25,000 preserved in one day, reducing the bonus abuse from 18 per cent to under three per cent over the next six months. On top of that, the LTV extended with promo ROI improvement from 14 to 32 per cent. As a result, genuine players who were registering at that time didn’t notice the “fraud cleaning” and were left untouched.
Today anti-fraud systems are no longer just a cost center that stops fraud. The tools help teams unlock additional revenue and gain valuable data about players.
Bonus abusers will always hit your platform. It’s a matter of whether you are prepared to endure and counter-attack them.
Visit Frogo for more risk control practices in the iGaming market
