Detect affiliate fraud on Stripe using pattern queries and automated rules

Detect affiliate fraud on Stripe using pattern queries and automated rules targets a $6.0B = 2.0M businesses x $3K ACV. Assumes 2.0M businesses globally run affiliate or referral programs and would spend an average $3K/year on fraud prevention and monitoring. total addressable market with medium saturation and a year-over-year growth rate of 12% annual growth in e-commerce payments and affiliate program adoption, driving increased demand for payments-tied fraud tools.

Key trends driving demand: Creator economy expansion -- more brands and platforms launch affiliate programs, increasing the surface area for affiliate fraud.; Payments-platform telemetry -- Stripe Sigma, webhooks, and event exports provide structured logs suitable for automated detection.; Real-time payouts and low friction onboarding -- faster payout rails increase incentives for fraud, making faster detection necessary.; Rise of fraud-as-a-service -- organized fraud patterns repeat across merchants, enabling cross-merchant detection value..