The Device Anomaly Detection feature detects fraudulent clicks and conversions from outdated devices are blocked, maintaining data accuracy. This guide explains how to configure and optimize this feature.
Why Device Anomaly Detection Matters
Outdated devices often generate fraudulent activity, corrupting your metrics and data analysis. Implementing this feature safeguards data integrity and enhances your fraud prevention measures.
Threshold Percentage:
Define what portion of traffic triggers blocking for outdated devices.
Minimum Click Count:
Set the minimum clicks before detection is activated to avoid false positives.
Lookback Time:
Establish the evaluation period for outdated device traffic.
SubID-Level Check:
Enable detailed traffic analysis at the SubID level for granular fraud detection.
Filter by OS and Browser:
Specify minimum versions for operating systems and browsers to define "outdated devices."
Benefits of Device Anomaly Detection
Device anomaly detection is essential for protecting your ad spend and ensuring data accuracy. By configuring this feature, you can effectively identify and block outdated devices, preventing fraudulent clicks and conversions.