BRANCH FRAUD PROTECTION
Protect your ad spend
Rely on our deep expertise in fraud mitigation for cutting-edge fraud protectionRequest a demo
Safeguard your budget with flexible fraud rules
Create custom rules that block at the event level based on any attribute. Enable AI-generated rules to keep you protected as fraud patterns evolve.
Identify and report on suspicious activity with dashboard visibility
View suspicious patterns in data, separate from healthy analytics, right in the Branch dashboard.
Industry-standard blocking rules based on known fraud patterns
We use constantly advancing proprietary algorithms to dynamically block attributions on browsers and devices showing suspicious behavior across our platform.
Analyze signals to find and block new fraud with AI-based fraud detection
Our advanced machine learning gives you the highest level of attribution while focusing on user privacy.
Detect and block fraud before
Fake devices or click farms
Use emulators and device farms to generate fraudulent clicks.
Blocked 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 or 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 them.
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.
Layer dozens of ads on top of each other, leading to fraudulent clicks on ads that aren’t even visible.
Low click-to-install rates, because this fraud method generates excessive numbers of clicks.
Keys to preventing mobile ad fraud
Scalable, data-driven action
Implementing hard-coded blocking rules (that quickly become stale) allows fraudsters to respond quickly to ever-evolving fraudulent patterns.
Our 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.
Most attribution providers mark fraudulent attribution data as “organic.” This distorts healthy analytics and prevents customers from comparing the quality of traffic across their ad sources.
We allow insight into suspicious patterns in data, separate from healthy analytics, in the Branch dashboard. While attribution data is preserved, we block attribution payouts and take action to remove bad actors in real time, so you do not have to worry about recouping losses.