Mobile ad fraud

Mobile ad fraud is a constantly evolving battleground, with fraudsters continually finding new ways to defraud advertisers, publishers, or supply partners by exploiting mobile advertising technology. Keep your advertising budget safe from mobile fraud with Adjust’s tools and techniques to defend against click spamming, click injection, and SDK spoofing.

Blog Topics Mobile ad fraud

Apr 30, 2020

How fraudsters make money: Everything you need to know about ad fraud

Learn how fraudsters make their money with this guide to ad fraud.

Nov 14, 2019

How bot fraud affects Gaming and Ecommerce apps – and how to fight back with anti-bot protection

Learn how to protect your gaming or ecommerce app from in-app bot fraud, here.

May 17, 2019

Fake likes and Play Store bans: How fraud hit the headlines in May

See how mobile fraud hit the headlines in May with our second edition of Adjust's Fraud Roundup

Apr 12, 2019

Pioneering the fight against bot fraud with Unbotify: Data Scientist Ran Arieli’s Employee Story

We sat down with Unbotify’s Data Scientist, Ran Arieli, to discuss working life at the forefront of in-app bot fraud prevention.

Aug 7, 2018

Is machine learning the answer to fraud? Mobile fraud theory, part 3

For many, machine learning is just a catch-all buzzword. After all, you could say it’s just a bunch of ‘if statements’, and (in some cases) you wouldn’t be too far off.

Aug 2, 2018

Detection, prevention and what makes a good fraud fighting filter: Mobile fraud theory, part 2

Moving beyond the types of fraud we discussed in part 1 of our theory series, it’s time we looked at the lack of distinction between fraud solutions.

Aug 1, 2018

Building a solution by defining the problem: Mobile fraud theory, part 1

In this article, we break down ad fraud in a new way - dividing the mass of methods between two very distinct approaches.

Jan 25, 2018

SDK spoofing fraud and Adjust’s solution to it

At the very first signs of SDK spoofing fraud, we began researching the best ways to fight. Here's our solution.

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