Marketplace Fraud Prevention Template

Industry benchmarks range from 0.1% to 1.0% of GMV depending on category. Physical goods marketplaces typically target 0.2-0.5%. Service marketplaces target 0.1-0.3% because there are fewer chargebacks. High-value marketplaces (luxury goods, vehicles) should target under 0.1% because individual losses are large. If your fraud loss rate exceeds 1%, you likely have a systemic vulnerability that needs immediate attention.

Start with a third-party solution (Sift, Forter, Stripe Radar) for payment fraud and account-level risk scoring. These services have cross-network intelligence that a single marketplace cannot match. Build in-house for marketplace-specific fraud: fake listings, review manipulation, shill bidding. These require domain knowledge that generic tools lack. Use the [build vs. buy assessment](/tools) framework to evaluate the tradeoff.

Define clear dispute policies before you need them. Publish policies on your help center. Standard framework: (1) buyer files a claim within X days, (2) seller has Y days to respond with evidence, (3) your team reviews and decides within Z days, (4) loser can appeal within W days. For claims under a threshold ($20-50), auto-resolve in the buyer's favor. The cost of reviewing small claims exceeds the loss.

When fraud-related work consumes more than 20% of your product or engineering team's time, or when your manual review queue exceeds 100 items per day. The first hire should be a Trust and Safety PM who owns the fraud prevention roadmap. The second hire should be a senior analyst who can tune detection rules and build dashboards. Reviewers can be contractors initially.

The key is making verification invisible for low-risk transactions. Use risk scoring to apply friction only when needed. A returning buyer with 50 successful transactions should have a frictionless checkout. A new account buying a high-value item from a new seller should face additional verification. This risk-based approach keeps [conversion rates](/glossary/conversion-rate) high for the majority while catching fraud at the edges. ---