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Brief
FraudScore

FraudScore

Protects digital advertising investments by detecting and preventing ad fraud through machine learning and real-time traffic analysis, ensuring marketing budgets reach genuine users.

fraudscore.aiFounded 2015

Last updated May 10, 2026 by the ATDb Editorial Team

Industry
Ad Fraud Detection & Prevention
Business Model
SaaS
Target Market
Mid-Market, Enterprise
Employee Count
30
API Available
Yes
Market Position

Ad fraud detection platform serving advertisers, ad networks, and publishers

Overview

FraudScore is an ad fraud detection and prevention platform that serves the digital advertising ecosystem by identifying and blocking invalid traffic across advertising campaigns. The company utilizes machine learning algorithms and big data analytics to detect various forms of ad fraud including bot traffic, click fraud, impression fraud, and other forms of invalid traffic that waste advertiser budgets. By providing real-time monitoring and detailed analytics, FraudScore helps advertisers, ad networks, and publishers maintain traffic quality and ensure their marketing spend reaches genuine users. The platform operates in the ad verification and fraud prevention segment of the AdTech industry, competing in a market where ad fraud represents billions of dollars in annual losses for advertisers globally. FraudScore's technology analyzes traffic patterns, user behavior, device fingerprints, and other signals to distinguish between legitimate users and fraudulent activity, providing actionable insights through comprehensive reporting dashboards.

Products & Features

Ad Fraud Detection

Real-time identification and blocking of invalid traffic including bot traffic, click fraud, and impression fraud

Traffic Quality Analytics

Detailed reporting and insights into traffic quality metrics and fraud patterns

Machine Learning Engine

Advanced algorithms that continuously learn and adapt to new fraud patterns

Key Features
Real-time fraud detectionMachine learning-based analysisBig data analyticsDetailed traffic quality reportsBot detectionClick fraud preventionImpression fraud detectionTraffic pattern analysisDevice fingerprinting
Use Cases
Protecting advertising campaign budgets from fraudEnsuring traffic quality for ad networksPublisher traffic validationPerformance marketing optimizationAffiliate marketing fraud preventionMobile app install fraud detection
Customer Segments
AdvertisersAd NetworksPublishersPerformance MarketersAffiliate NetworksMobile App Developers

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