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[Home](/) [Scenarios](/scenarios) [Fraud Prevention](/scenarios/fraud-prevention) Affiliate Fraud Detection [Back to Fraud Prevention](/scenarios/fraud-prevention) # Affiliate Fraud Detection hard [Fraud Prevention](/scenarios/fraud-prevention)Temperament: angry Tech: advanced Budget: high ## Scenario overview Partner showing fraudulent click/referral patterns ## What the caller is dealing with Affiliate partner's traffic shows suspicious patterns suggesting click fraud or cookie stuffing. ## How to practice this scenario Open this scenario inside [Call Flow's AI role-play](/ai-sales-role-play), choose voice or chat, and Call Flow's AI plays the customer using the temperament, tech level, and budget posture above. Every session is graded instantly across rapport, discovery, objection handling, and closing technique, so reps know exactly what to fix before the next attempt. [See the full feature set](/features) or [start a free team trial](/signup?plan=team-trial). ## Skills you'll build - Spotting social engineering - Holding policy under pressure - Explaining freezes calmly - Documenting evidence - Routing to fraud team ## More scenarios in Fraud Prevention [ ### Account Creation Fraud hard Multiple fraudulent accounts created from same IP ](/scenarios/fraud-prevention/account-creation-fraud-bbf5f0ea)[ ### Business Email Compromise hard Customer's vendor payment instructions were compromised ](/scenarios/fraud-prevention/business-email-compromise-b321ee9e)[ ### Card Testing Attack hard Multiple small charges indicating card testing ](/scenarios/fraud-prevention/card-testing-attack-2e4a90b8)[ ### Elder Fraud Concern hard Elderly customer may be victim of scam ](/scenarios/fraud-prevention/elder-fraud-concern-c82dbb05)[ ### Employee Fraud Suspicion hard Internal report of potential employee fraud ](/scenarios/fraud-prevention/employee-fraud-suspicion-f00b4aa1)[ ### Fake Review Detection medium Customer reported for posting fake reviews ](/scenarios/fraud-prevention/fake-review-detection-d6d85082)[ ### Gift Card Fraud hard Large gift card purchase flagged as potentially fraudulent ](/scenarios/fraud-prevention/gift-card-fraud-1cfcbb96)[ ### Identity Theft Victim hard Customer reporting that someone used their identity ](/scenarios/fraud-prevention/identity-theft-victim-339c5191)[ ### Insurance Fraud Claim hard Customer's damage claim seems inconsistent ](/scenarios/fraud-prevention/insurance-fraud-claim-33bf4ad0)[ ### Merchant Fraud Report medium Customer reporting a fraudulent seller on marketplace ](/scenarios/fraud-prevention/merchant-fraud-report-e2e49550)[ ### Money Laundering Red Flag hard Transaction patterns suggesting potential money laundering ](/scenarios/fraud-prevention/money-laundering-red-flag-32ca8588)[ ### Phishing Site Impersonation hard Customer fell victim to site impersonating company ](/scenarios/fraud-prevention/phishing-site-impersonation-d1da1f31) [Browse all Fraud Prevention scenarios](/scenarios/fraud-prevention) ## Practice "Affiliate Fraud Detection" with realistic AI buyers Voice or chat. 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