Scalarr Performance is a mobile ad fraud detection and prevention platform targeting app developers and mobile marketers. It analyzes data from mobile ad campaigns across all stages — from initial click through to post-install events — to identify and block fraudulent activity in user acquisition campaigns. The platform uses a combination of neural networks, unsupervised machine learning, and semi-supervised machine learning algorithms to analyze hundreds of features and variables per conversion. Rather than producing scores or probabilities, it delivers binary fraud/no-fraud decisions at the individual conversion level to reduce false positives and false negatives. Key capabilities include: - Campaign monitoring to detect suspicious traffic sources - Drill-down traffic inspection reports down to the sub-sub-publisher level - Personalized ML models tailored to the parameters of each individual app - Detection of attribution fraud, fake installs, fraudulent transactions, new/modified fraud patterns, and mixed fraud attacks - Data visualization tools for understanding fraud crime rings - ROI forecasting model (in closed beta at time of publication) to measure and forecast campaign profitability Integration with the platform is available via customized postback or directly through supported mobile measurement partners (trackers). The platform processed over 426 million installs in 2019 and claims up to 97% detection accuracy.