This study provides an overview of fraud types in different app categories and regions of the world. Using the Fraud Scanner tool, we analyzed over 800M installs over 2021 and analyzed them for click, hardware and post-install types of fraud.

In this guide, we will look at working with raw data and fraud using the Quick Installs metric.

Learn how to give your ad partners a clear picture on install fraud and move to a new level of fraud analytics.

Welcome the solution that enables you to promptly assess your project’s overall fraud situation in both web and mobile.

All you need to know about the five types of mobile ad fraud (click flooding, click injection, bots, prohibited traffic, and SDK spoofing) and how to identify fraud using special fraud metrics.

We'll walk you through 3 easy steps to detecting and preventing fraud in e-commerce apps and give actionable tips on how to communicate with your ad partner once fraud had been detected.

All you need to know about detecting bots in mobile apps in our guide!

Only 60% of internet traffic is human, with the remainder generated by various bots. Learn about different types of e-commerce fraud to take adequate measures to improve your earnings and boost your app’s efficiency.

This article will walk you through 4 easy steps towards detecting and reporting mobile fraud using the Fraud Scanner tool by MyTracker.