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About Fraud Monitoring

Last updated on May 13, 2026

Fraud Monitoring Dashboard

Fraud monitoring provides a comprehensive view of suspicious conversion activity, enabling traffic managers to quickly detect, assess, and mitigate fraudulent traffic patterns in real time.

Dashboard Overview

The Fraud Monitoring dashboard gives you a high-level snapshot of your traffic quality and conversion health. All metrics are filterable by date range — you can use custom ranges or presets such as last 7 days, today, or last 30 days.

Approved vs. Declined Conversions

  • Visualization: A line graph tracks approved (green) vs. declined (red) conversions over the selected period.

  • Key Insight: A sudden spike in declined conversions is a strong signal of potential fraud that warrants immediate investigation.

Detected Fraud Indicators

The dashboard flags specific fraud patterns with occurrence counts. Each indicator points to a different type of suspicious activity:

  • Autonomous system mismatch: Traffic originating from known data centers, often associated with bot activity.

  • Connection type mismatch: Unexpected proxy or VPN usage detected.

  • Duplicate fingerprint: The same device fingerprint appears across multiple conversions.

  • Language mismatch: The device language does not match the offer's target region.

  • Motivated source: Incentivized traffic that may reduce conversion quality.

  • OS mismatch: Inconsistent operating system across conversions, suggesting emulated devices.

  • Same IP: Repeated IP usage across conversions, indicative of automated or fraudulent activity.

  • Timezone mismatch: The user's timezone does not align with the Geo-targeted offer.

  • Touch support mismatch: Lack of touch input detection, suggesting a desktop emulator.

Top Sales Countries

  • Visualization: A circular chart breaks down traffic by country.

  • Filters: Toggle between all traffic, only approved conversions, or only declined conversions.

  • Use Case: Quickly identify geographic regions associated with suspicious activity and adjust targeting or blocking rules accordingly.

Top 10 Suspicious Offers

  • Visualization: A table ranks offers with the highest fraud activity.

  • Toggle Views: Switch between offers with high fraud rates and publishers involved in these conversions.

  • Use Case: Prioritize which campaigns, offers, or partners require closer review or stricter controls.

Key Benefits

  • Monitor traffic quality trends over time.

  • Understand why conversions are being declined.

  • Detect fraud patterns by region, offer, or partner.

  • Take timely action — block traffic sources, apply stricter conversion checks, or adjust campaign settings.

  • Best Practice: Check the dashboard regularly to maintain ongoing traffic quality and campaign performance.