Risk Intelligence · AI model
Bonus Abuse Detection
Protect your promotions budget from players who only play for the bonus.
In short
GAMWIT's Bonus Abuse model flags players and groups exploiting promotions, such as bonus hunting and low-risk wagering patterns, before bonuses are paid out.
What it looks at
- Wager-through and low-risk betting patterns
- Bonus-only play
- Withdrawal timing after bonus release
- Promotion uptake clusters
- Bet-size symmetry across accounts
What you get
- Abuse risk score per player
- Type of abuse detected
- Review queue before payout
- Risk cost by campaign
Who uses it
Risk, fraud and promotions teams
Part of Risk Intelligence. Runs on GAMWIT's 500+ gaming variables with no player PII.
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See what GAMWIT would find in your data.
Book a 30-minute demo with our gaming analysts, or start with a health check to see where your business is leaking value.