Fraud Detection & Prevention
Identify suspicious activity, implement security measures, and maintain network integrity.
Step 1
Monitor Traffic Patterns
Regularly review traffic data for unusual patterns or anomalies.
- Click Patterns: Unusual spikes, consistent click rates
- IP Analysis: Multiple clicks from same IP, proxy/VPN usage
- Time Patterns: Clicks at regular intervals, unnatural timing
- Device/Browser: Same device multiple conversions
Step 2
Analyze Conversion Quality
Examine conversion data for signs of fraudulent activity.
- Conversion Rates: Unusually high CR (above 50%)
- Data Consistency: Matching form data across conversions
- Time to Convert: Instant conversions after clicks
- Pattern Recognition: Similar conversion times/data
Step 3
Check for Common Fraud Types
Identify specific types of fraudulent activities.
- Click Fraud: Bots, click farms, automated scripts
- Conversion Fraud: Fake leads, stolen credit cards
- Cookie Stuffing: Unauthorized attribution
- Ad Stacking/Hidden Frames: Non-visible traffic
Step 4
Use Detection Tools
Leverage available tools and systems for fraud detection.
- Review Postback Logs for irregularities
- Check IP Quality Score databases
- Use Device Fingerprinting tools
- Monitor Real-time Alerts for suspicious activity
Step 5
Take Action Against Fraud
Implement appropriate measures when fraud is detected.
- Immediate Action: Pause traffic from suspicious source
- Investigation: Gather evidence, review patterns
- Communication: Contact publisher for explanation
- Final Decision: Warning, payout hold, or termination
Documentation: Keep detailed records of all fraud cases.
Step 6
Preventive Measures
Implement systems to prevent fraud before it occurs.
- Set Click-to-Conversion Time minimums
- Implement CAPTCHA on high-value offers
- Use IP Filtering for known fraud sources
- Regular Publisher Education on policies