Scalarr is an innovative, Machine Learning based anti-fraud solution that detects the mobile app install fraud with dramatically improved accuracy. There are a lot of different types of app install ad fraud, although the traditional rules-based analysis used by existing solutions helps to detect only few of them. By applying to both unsupervised and semi-supervised machine learning algorithms, Scalarr solves the problem by analyzing deeply hundreds of features and variables, thus reducing efficiently the number of false positive and false-negative errors. With its unique self-learning engine it helps mobile advertisers to stay ahead of fraudsters without any need to update constantly the rules, as they modify their attack techniques.
"Fraud is a scary subject for many new marketers. It can be tempting to look the other way and just accept any good looking ad traffic as legitimate but a company that wants to survive in this highly competitive industry needs to be vigilant. We are confident in our partnership with Scalarr that can delivery high quality real users for the company’s portfolio of apps."
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