Prevent mobile ad fraud in real time

Fraud drains your ad budgets, ruins data sets and
limits your potential growth. Our Fraud Prevention
Suite proactively prevents mobile ad fraud, in real
time so you can spend your budget with confidence.

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Fraud Prevention

Learn how we stop mobile fraud in two minutes

Watch our CEO, Paul H. Müller, break down how mobile ad fraud works and why Adjust’s Fraud Prevention Suite is the best way to fight it.

Fighting fraud on all fronts

In order to fight fraud, you have to understand how it works from the ground up. We’ve spent years researching to identify all forms of ad fraud, which fall into four major categories. Here’s how we fight fraud effectively on all fronts, to block the vast majority of ad fraud in real time.

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Fraud type Our solution
SDK Spoofing SDK Signature
Fraudsters can replicate how SDKs communicate and make up engagements, installs, and events from thin air. When a SDK is compromised, a fraudster can commit fraud at scale. Encryption is the only way to effectively stop SDK Spoofing, and we’re the only provider that offers cutting-edge multi-layered encryption to protect against SDK Spoofing at no extra charge.
Click Injection Click Injection Filter
Fraudsters will sometimes inject an engagement when they know an app is being downloaded, hijacking credit for the install and making you pay for performance that isn’t there. We leverage signals sent by Google to deterministically reject any and all attempts at Click Injection
Device Farms Anonymous IP Filter
There are click farms and data centers hosting emulated devices, solely built to give you hollow engagements and installs. Click farms and data centers rely on obfuscating their locations and masking or obfuscating IPs. We undercut this by rejecting any and all installs that are associated with compromised IPs.
Click Spamming Distribution Modelling
Fraudsters will leverage malware on user devices to consistently send clicks to MMPs, which can misattribute credit to publishers for installs that were really organic to begin with. This solution is made up of two sub-filters that work in unison: the 'Hyper-engagement filter' and the 'Distribution Outlier' We use models fed with years of research and petabytes of data to determine which clicks are real and which clicks are spam.

Prevent ad fraud, so you can focus on your app and your users

When you prevent fraud from even entering
your ecosystem, you’ll be able to:

  • Spend, measure, and experiment confidently with any partner

  • Remove limitations on growth by wiping all hollow metrics out that could endanger your success

  • Save time and stress spent on arguing with partners over refunds

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The Coalition Against Ad Fraud (CAAF) — because fighting fraud is a team effort

In order to fight fraud, you have to understand how it works from the ground up. We’ve spent years researching to identify all forms of ad fraud, which fall into four major categories. Here’s how we fight fraud effectively on all fronts, to block the vast majority of ad fraud in real time.

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CAAF

CAAF Members

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The Adjust Guide to Mobile Fraud

Want to learn more about different types of ad fraud? Adjust defines all forms of app fraud in our latest guide. This report will show you:

  • The types and methods of fraud which exist in mobile advertising today

  • How fraud affects your campaigns and dirties your datasets

  • Why the industry needs to come together to stop ad fraud for good

Download the guide

Trusted by over 50,000 apps worldwide

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Take control of your mobile marketing

Learn more about Adjust’s Attribution, Analytics, Audience Builder, Control Center and Unbotify products to find out how Adjust can help you take full control of your mobile growth.

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