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The anatomy of mobile ad fraud: Mixed Fraud
In 2019 the level of fraudsters’ sophistication increased dramatically: they have learned to blend together different techniques and manipulate the system by imitating real user beha...
True Machine Learning is the Strongest Weapon to Fight App Install Ad Fraud - A Fireside Chat with Draftkings. MAU 2019
Don’t let fraud dictate your user acquisition strategy. Learn why a manual, rules-based approach to fraud detection pales in comparison to an advanced machine learning based approach
The issue with rules is that they tend to be outdated very quickly. Fraudsters are able to reverse-engineer them very quickly and you are not protected let alone from any sophisticat...
Real-time app install ad fraud prevention: is it working?
The phrase “real-time” is widely used in the mobile ads' ecosystem. But in the app install ad fraud sphere, the phrase “real-time prevention” is just a fancy word without much meanin...
What are the “Mixes” and how to identify this type of app install fraud
The general principle of “mixes” grounds on the conscious use of several various types of fraud to get over the known protection measures of fraud detection tools
Shopping apps is a tidbit for mobile fraudsters in 2018: dive insight into Joom experience
Shopping apps, for which the CPI is 35% higher than the average, are at high risk for the mobile ad fraud. Let’s dive into Joom experience of dealing with the app install fraud
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The only solution for mobile advertisers is to partner with anti-fraud tools that make use of powerful and intelligent technologies such as machine...
The road to Scalarr's foundation was paved with challenges and opportunities and in this in-depth conversation, you'll learn the story of Scalarr f...