Home Antifraud

Antifraud

By Azema
7 articles

How Publisher Risk Scoring Works

Accessing Publisher Risk Scoring Publisher risk scoring is available in the Antifraud > Risk Scoring section of the platform. This tool allows you to analyze the risk profiles of publishers and assess whether their traffic is legitimate or potentially fraudulent. Go to Antifraud > Average Risk Score to open the publisher risk scoring panel, where you can view detailed information about each publisher’s traffic. Key Data Fields in Publisher Risk Scoring The Risk Scoring panel provides several data points for each publisher. These fields help you evaluate the quality of traffic and the likelihood of fraud. Here's a breakdown of the key data fields: Publisher: Displays the username of the publisher whose traffic is being analyzed. Count: The total number of conversions generated by the publisher. Triggered: The percentage of times fraud patterns were triggered based on the publisher's traffic. Avg: The average risk score per conversion. This value shows the overall quality of the publisher's traffic. Several fraud indicators are used to calculate the publisher's risk score: OS Mismatch: Indicates an operating system mismatch, which could suggest the use of an emulator. Connection Type Mismatch: A mismatch between the expected connection type and the actual type, which may be indicative of fraud. Language Mismatch: A difference between the browser language and the user's IP location, suggesting potential fraud. Autonomous System Mismatch: This could point to traffic coming from a bot or a data center. Same IP: Multiple conversions from the same IP could indicate click farms or repeated fraudulent activity. Duplicate Fingerprint: The same device fingerprint being used for multiple conversions raises concerns about fraud. Touch Support: If a device shows unexpected touch support, it may be an emulator. Motivated Traffic: Traffic driven by incentive-based or motivated sources, often fraudulent. Timezone Mismatch: A discrepancy between the time zone of the device and the IP location could suggest fraudulent traffic. Windows Conversions: Use of WinSock (a networking tool often used by bots) could indicate fraud. Analyzing Publisher Traffic Quality By analyzing the data from the risk scoring panel, you can evaluate whether a publisher's traffic is legitimate or if it is possibly fraudulent. Key indicators such as Triggered fraud patterns and the Avg risk score give you a clear picture of the quality of a publisher’s traffic. You can also assess the traffic quality by country using filters. This allows you to pinpoint traffic from regions that may have a higher likelihood of being fraudulent, helping you take informed actions. Taking Action Based on Risk Scoring Data Once you've analyzed the publisher risk profile, you can take appropriate action based on the risk level: Blocking Publishers If a publisher consistently triggers fraud patterns and has a high average risk score, you may decide to block them from working with certain offers or from the platform entirely. This is done by reviewing their risk score and identifying any recurring fraud indicators. Blocking Sub-Sources For affiliate publishers, you may choose to block specific sub-sources that are generating poor-quality traffic or triggering frequent fraud patterns. This helps maintain the integrity of your campaigns without needing to block the entire publisher. Conversion Retention Mode If a publisher's traffic shows signs of potential fraud, you can enable Conversion Retention Mode, which temporarily holds conversions for review before they are processed. This helps prevent fraudulent conversions from being paid out.

Last updated on Jan 31, 2025