AppsFlyer releases Active Fraud Insights 2.0

Posted on Monday, May 29, 2017 by RICHARD HARRIS, Executive Editor

AppsFlyer has announced Active Fraud Insights 2.0 in conjunction with a release addressing the responsibility of ad networks to combat mobile fraud and beginning an initiative to regulate the AppsFlyer ecosystem with a review of its 2,500+ integrated ad networks to ensure they are minimizing fraudulent traffic being sent to marketers.

Active Fraud Insights 2.0 is part of their Active Fraud Suite and is now available. Since Active Fraud Insights' introduction in 2016, dozens of large marketing teams have been able to identify and stop offending campaigns, networks and even siteIDs before significant damage was done - detecting and addressing tens of millions of dollars in fraud.

The result of close collaboration between AppsFlyer's fraud scientists and app marketers, Active Fraud Insights 2.0 provides marketers with the visual clarity, dynamic filters and proprietary insights to quickly identify fraud and take corrective action.

Key features:


- New multi-select grouping filters by media source and siteID, allowing marketers to quickly identify offending sub-publishers

- Device-based distribution analysis: Visual aids help marketers identify deviceID reset fraud, install fraud hiding behind limit ad tracking, installs from devices flagged as suspicious and installs from devices known to be fraud-free

- DeviceID Reset Fraud Detection: Powered by DeviceRank proprietary device-ratings, marketers can easily detect sources with problematic concentrations of installs from 'new devices' (devices with deviceIDs not previously seen)

- Install fraud hiding behind limit ad tracking: Detects unusual concentrations of installs with limit ad tracking enabled

- Installs from devices with suspicious profiles: Detects dense pockets of installs from devices flagged by DeviceRank as suspected of perpetrating fraud. In contrast, devices known to perpetrate fraud are automatically blocked

- Install hijacking and click flooding detection: Built on advanced click to install time (CTIT) distribution

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