Protect your ad budget from advanced fraud.
Prevent wasted spend with higher quality data based on a privacy-focused attribution model and a combination of accurate detection and quick, flexible response. Branch utilizes AI-based fraud detection to analyze signals to find and block new fraud. Along with industry-standard blocking rules, Branch generates helpful dashboard views on how well your ad spend is protected.
|Fraud Indicator||✔️ Fraud Method||❌ Detection Strategy|
|Fake Devices/Click Farms||Use emulators and device farms to generate fraudulent clicks.||Blacklisted IPs, because many conversions will come from the same IP address; high click-to-install rates, because this fraud method is most cost-effective when clicks lead to installs|
|Install Hijacking/Click Injection||Use a compromised app already on the device to detect installs, and fire off a click just before the new app is opened.||Short click-to-install times, because users typically open apps right after downloading|
|Click Flooding||Generate millions of clicks with random device IDs (IDFA or GAID), and hope that some of those users will install later.||Long click-to-install times, because there is no legitimate connection between click and install.|
|Ad Stacking||Layers dozens of ads on top of each other, leading to fraudulent clicks on ads that aren't visible.||Low click-to-install rates, because this fraud method generates excessive numbers of clicks.|
|Device Reset||New devices from suspicious IPs.||High click to install rates, because devices can repeatedly reset themselves and keeping an eye on user value metrics.|
How does it work?
Branch’s unique, cross-platform scale provides the data depth and breadth required for a resilient, scalable detection model based on machine learning. We automate the detection of statistical variations across a vast pool of data signals to spot and block fraudulent patterns as they emerge.
We use constantly advancing proprietary algorithms to dynamically block attributions on browsers and devices showing suspicious behavior across our platform. Our advanced machine learning gives you the highest level of attribution while focusing on user privacy.
What does it look like?
After the fraud rules are set for your Branch app, the Branch Dashboard will generate reports for you to determine how well your spend is protected:
More details on what fraud protection looks like can be found here.
Updated 2 months ago