Hub/Affiliate Programs/Detect and Prevent Affiliate Fraud
Task IntentAffiliate Programs

Detect and Prevent Affiliate Fraud

Identify suspicious affiliate behavior, set up fraud detection rules, and protect your program from commission abuse and fake traffic.

What This Sidekick Query Does

Identify suspicious affiliate behavior, set up fraud detection rules, and protect your program from commission abuse and fake traffic.

Prompts

Copy, adapt, and run this directly in Shopify Sidekick.

Help me build a fraud detection and prevention system for my Shopify affiliate program.

Current Setup:

  Affiliate app: [AFFILIATE_APP_NAME]
  Number of active affiliates: [COUNT]
  Monthly affiliate revenue: [REVENUE]
  Monthly commissions paid: [COMMISSIONS]
  Cookie duration: [DAYS] days
  Payout delay: [PAYOUT_DELAY_DAYS] days


Fraud Types to Detect:


  Self-Referral Fraud (affiliate buys through own link):
    
      Detection: cross-check affiliate email addresses with customer email list
      Flag: affiliate account email matches any customer email in the same household IP
      Action: cancel commission, warn affiliate, suspend on second offense
    
  
  Cookie Stuffing:
    
      Detection: identify affiliates with conversion rates above [THRESHOLD]% (industry normal is 1-5%)
      Flag: any affiliate with 10%+ conversion rate consistently over 30 days
      Action: request traffic source documentation, review referring URLs
    
  
  Return Fraud:
    
      Detection: identify affiliates whose referred orders have refund rates above [REFUND_THRESHOLD]%
      Flag: refund rate 3x the store average for any affiliate
      Action: implement automatic commission clawback within [CLAWBACK_WINDOW] days of refund
    
  
  Fake or Bot Traffic:
    
      Detection: high click counts with zero or near-zero conversions over 30+ days
      Flag: affiliates with 500+ clicks and 0 conversions in a single month
      Action: request traffic source URL, check referring domain quality
    
  
  Coupon Site Last-Click Hijacking:
    
      Detection: orders where the customer used a discount code and the affiliate link was the last touch
      Flag: affiliates whose commission share comes primarily from coupon-code orders
      Action: reduce or eliminate commissions for pure coupon-redirect traffic
    
  
  Duplicate Account Fraud:
    
      Detection: multiple affiliate accounts from same IP address or email domain
      Flag: more than one account with matching PayPal email, IP, or device fingerprint
    
  


Monthly Audit Checklist:

  Run self-referral email cross-check
  Review all affiliates with conversion rate above [X]%
  Review all affiliates with refund rate above [Y]%
  Check for IP address clusters among affiliate accounts
  Review any affiliate with 3x traffic spike vs their prior 30-day average
  Verify top 10 affiliates’ traffic sources manually


Program Rules to Add to Terms:

  Minimum [DAYS] day payout delay (allows refund window to close before commission is paid)
  Minimum payout threshold of [AMOUNT] to reduce micro-fraud profitability
  Prohibition of paid search ads using brand name keywords
  Required FTC-compliant disclosure on all promotional content
  Right to withhold or clawback commissions on refunded orders


Fraud Response Workflow:

  Document evidence with screenshots and data export
  Reverse fraudulent commissions in [AFFILIATE_APP_NAME]
  Send formal warning or suspension notice
  Add affiliate to internal blocklist
  Update terms and conditions if a new fraud pattern is discovered


Provide a monthly fraud audit checklist I can run in under 30 minutes, plus specific configuration settings for [AFFILIATE_APP_NAME] to minimize fraud exposure.

Expected Output

Identify suspicious affiliate behavior, set up fraud detection rules, and protect your program from commission abuse and fake traffic.

Tips to Improve Results

Copy the prompt above
Open Shopify Sidekick in your Shopify admin
Paste the prompt and replace the bracketed placeholders with your details
Review Sidekick's response and apply the suggestions