BRANCH FRAUD PROTECTION

Protect your ad spend

Rely on our extensive fraud mitigation expertise for cutting-edge protection measures

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Safeguard your budget with dynamic fraud defense

Protect your ad spend and create custom event-level restrictions based on any attribute. Our proprietary algorithms keep you protected as fraud patterns evolve.

blue icon header for Identify and report on suspicious activity with dashboard visibility

Detect and report suspicious activity with an intuitive dashboard

Easily identify unusual patterns in data, keeping anomalies separate from your healthy ad spend analytics.

blue icon header for Industry-standard blocking rules based on known fraud patterns

Protect against known fraud patterns with industry-standard blocking rules

Continuously block suspicious attributions across browsers and devices with proprietary algorithms and fraud blocking logic.

blue icon header for Analyze signals to find and block new fraud with AI-based fraud detection

Identify and prevent new fraud with advanced detection techniques

Block fraud with statistical methodologies and anomaly detection while ensuring accurate attribution that respects user privacy.

Detect and block fraud before
it happens

Fake devices or click farms

Fraud technique:
Use emulators and device farms to generate fraudulent clicks.

Detection strategy:
Block IP addresses that lead to multiple conversions originating from the same location. Monitor high click-to-install rates as this fraud method thrives when clicks lead to installs.

Install hijacking or click injection

Fraud technique:
Exploit a compromised app already on a device to detect installations and trigger a click just before launching a new app.

Detection strategy:
Look for short click-to-install times, as users typically open apps right after downloading them.

Click flooding

Fraud technique:
Generate millions of clicks by using random device IDs (IDFA or GAID) and hope that some of those users will install later.

Detection strategy:
Identify long click-to-install times that signify no legitimate connection between a click and an install.

Ad stacking

Fraud technique:
Layer dozens of ads on top of each other, leading to fraudulent clicks on ads that are not visible to the user.

Detection strategy:
Spot low click-to-install rates, as this fraudulent method generates an unusually high number of clicks.

Keys to preventing mobile ad fraud

Scalable, data-driven action

Relying on static, hard-coded blocking rules — that quickly become outdated — enables fraudsters to adapt to ever-evolving fraud patterns.

Our unique, cross-platform scale provides the necessary depth and breadth of data required to build resilient, scalable fraud detection models. We automate the detection of statistical anomalies across a vast pool of data signals to identify and block fraudulent patterns as they emerge.

Quality insights

Many attribution providers mark fraudulent attribution data as “organic.” This distorts healthy analytics and prevents customers from comparing traffic quality across their ad sources.

We provide clear visibility into suspicious data patterns, keeping them separate from healthy analytics in your Branch Dashboard. To preserve your attribution data, we proactively block attribution payouts and take action to remove fraudulent activity in real time, so you don’t have to worry about recovering losses.

Ready to fraud-proof your mobile advertising budget?

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Blog

Mobile Ad Fraud Impacts and What To Do About It

Ad fraud is continuously evolving. As marketers get more sophisticated, so do the fraudsters. Part of battling fraud is monitoring metrics so you can ask the right questions and find inconsistencies. Of course, identifying real versus fake clicks and being able to detect downstream fraudulent activity — and doing all this in real time — is not easy. But this is something Branch takes very seriously.