Stop referral fraud with device identity
Prevent fake referrals and incentive loops by detecting multi-accounting, device farms, and repeated redemptions across devices and accounts.
Protect referral programs at scale
Detect repeated devices
Identify repeated redemptions and self-referrals linked to the same device.
Stop coordinated rings
Detect clusters of accounts operating together to exploit referral payouts.
Low-friction enforcement
Apply step-up checks only when device intelligence indicates elevated risk.
Referral fraud is one of the fastest ways attackers monetize onboarding. Common patterns include self-referrals, referral loops, device farms, and multi-accounting rings that repeatedly claim payouts or credits.
Deep ID stops referral abuse by linking referrals to persistent device identity and detecting coordinated clusters. Use tiered enforcement so legitimate users can share links normally, while suspicious devices and rings are stepped up or blocked.
Referral fraud FAQs
Common questions about self-referrals, incentive loops, and device-level enforcement.
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