mFaaS

mFaaS is a mobile ad fraud detection platform that aims to assist companies of varying sizes in combating fraudulent activities in their mobile advertising campaigns. According to the vendor, this solution is utilized by marketing professionals, advertising agencies, mobile app developers, e-commerce companies, and gaming companies. The main purpose of mFaaS is to identify and prevent various types of ad fraud in real-time, using machine learning algorithms and comprehensive analytics to provide actionable insights and customizable dashboards for brand safety and performance optimization.

Key Features

Machine Learning Based Real-Time Ad Fraud Detection: According to the vendor, mFaaS utilizes advanced machine learning algorithms to detect ad fraud in real-time, identifying fraudulent traffic across 15+ fraud types. It offers behavioral and pattern recognition capabilities, along with customizable dashboards and deeply sliced visuals, to provide insights into fraudulent traffic sources.

Exhaustive Traffic Analysis: mFaaS conducts multi-level quality checks across campaigns and analyzes traffic sources based on device-based properties. The vendor claims that it utilizes an inbuilt library of blacklisted and whitelisted IPs and sub media channels/apps, enabling the detection of anomalies and traffic dissection in real-time.

Brand Safety: According to the vendor, mFaaS ensures brand safety by checking content compatibility and preventing ads from being displayed on inappropriate or unsafe platforms. It protects against fake devices and blacklisted IPs, allowing configurable rules at the publisher and sub-publisher levels for real-time blacklisting and blocking.

Performance Based Optimization: mFaaS provides multi-tiered reporting dashboards for analysis, offering insights into fraudulent traffic across various fraud reason codes. The vendor claims that it assists in optimizing performance by identifying and blocking invalid traffic sources, enabling data-driven optimization levers for maximizing ROI.

Detection of Human vs. Machine Traffic: According to the vendor, mFaaS identifies human and machine traffic at the individual campaign level, providing visibility into fraud at the user acquisition level. It ranks publishers based on their performance and evaluates key performance indicators (KPIs) for effective fraud prevention.

Industry Specific Solutions for Ad Fraud Prevention: mFaaS offers verticalized solutions tailored to specific industries, deriving fraud scores based on industry-specific key performance indicators (KPIs). The vendor claims that it provides comprehensive fraud analytics and prevention across customizable thresholds, helping mitigate the risk of ad fraud in user acquisition campaigns.