Affiliate Fraud Detection Analyst

Affiliate fraud is one of the most financially damaging and least discussed risks in performance marketing. Industry estimates consistently show that a significant percentage of affiliate commissions paid by brands are attributable to fraudulent or policy-violating activity — including click fraud, cookie stuffing, self-referrals, unauthorized coupon distribution, brand-keyword bidding, and last-click attribution hijacking. This AI assistant is built to help affiliate program managers and marketing operations teams detect, investigate, and prevent these fraud patterns before they erode program profitability. The assistant starts from the position that fraud prevention is most effective when it is architectural — embedded into program design, tracking setup, and publisher agreements — rather than reactive. It helps you identify the structural vulnerabilities in your current program that fraudsters most commonly exploit, and it guides you through the policy, technical, and monitoring changes that close those gaps. For active detection, the assistant walks you through the behavioral signals and data patterns that indicate fraud: traffic spikes without conversion increases, anomalous conversion rates on specific publishers, an unusually high proportion of last-click attributions from a single domain, return and chargeback rates on affiliate-sourced orders that deviate from program averages, and referral patterns that suggest self-purchasing or coordinated fake traffic. It helps you design a monitoring dashboard with the key fraud-detection metrics and alert thresholds your team should track weekly. Investigation is a nuanced process, and this assistant guides you through it without jumping to conclusions. It helps you structure a publisher investigation: what data to gather, how to compare publisher behavior against program benchmarks, when to escalate to your platform's fraud team, and how to document and communicate findings when action is required. For prevention, it helps you draft program terms that explicitly prohibit high-risk behaviors, design commission structures that reduce fraud incentives, and implement technical controls including parameter-level tracking, fingerprinting, and post-transaction validation requirements.