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Forensiq

Forensiq

Forensiq provided real-time, machine learning-powered ad fraud detection that protected advertisers, publishers, and ad networks from invalid traffic and fraudulent activity across display, mobile, and video channels.

forensiq.comNew York, New York, United StatesFounded 2010

Last updated May 11, 2026 by AI Enrichment

Industry
Ad Fraud Detection & Brand Safety
Business Model
SaaS
Target Market
Enterprise
Employee Count
11-50
Funding
acquired
Revenue Range
$10M-$50M
Stock Symbol
N/A
Parent Company
Impact
API Available
Yes
Market Position

A leading independent ad fraud detection provider prior to acquisition, known for high accuracy and MRC accreditation

Overview

Forensiq was a New York-based ad fraud detection company that provided real-time invalid traffic (IVT) detection and brand safety solutions to the digital advertising ecosystem. Founded in 2010, the company built a sophisticated platform that analyzed billions of ad impressions daily, using machine learning and behavioral analysis to identify bot traffic, device hijacking, and other forms of ad fraud. Its technology was widely regarded as among the most accurate in the industry, earning accreditation from the Media Rating Council (MRC). The company served a broad range of clients including advertisers, agencies, ad networks, DSPs, and SSPs, positioning itself as a neutral third-party verification layer in the programmatic advertising supply chain. Forensiq's device hijacking detection capabilities were particularly notable, as the company published influential research exposing large-scale mobile ad fraud operations that garnered significant industry attention and media coverage. In 2016, Forensiq was acquired by Impact (formerly Impact Radius), a partnership automation and performance marketing platform. Following the acquisition, Forensiq's technology and team were integrated into Impact's broader suite of tools. The Forensiq brand was gradually absorbed into Impact's platform, and it no longer operates as a standalone entity. Its fraud detection capabilities became part of Impact's partnership cloud, contributing to the company's efforts to ensure traffic quality and integrity across affiliate and performance marketing channels.

Products & Features

Real-Time IVT Detection

Analyzed ad impressions in real time to identify bot traffic, data center traffic, and other forms of invalid traffic before or as bids were placed.

Device Hijacking Detection

Identified mobile apps and devices that had been compromised to generate fraudulent ad impressions without user knowledge.

Pre-Bid Fraud Filtering

Allowed DSPs and buyers to filter out fraudulent inventory before committing ad spend through programmatic auctions.

Forensiq Score

A proprietary fraud risk score assigned to traffic sources and impressions to help clients make informed buying decisions.

Reporting & Analytics Dashboard

Provided clients with detailed reporting on fraud rates, traffic quality, and suspicious activity across their campaigns.

Key Features
Real-time invalid traffic detectionMachine learning-based behavioral analysisDevice hijacking identificationPre-bid filtering integrationMRC-accredited measurementCross-channel coverage (display, mobile, video)Proprietary fraud scoringBot and non-human traffic classification
Use Cases
Protecting advertiser budgets from bot and invalid trafficPre-bid filtering for programmatic DSPsPublisher traffic quality auditingAd network fraud screeningMobile app fraud detectionCompliance with MRC and IAB traffic quality standards
Customer Segments
Programmatic advertisers and agenciesDemand-side platforms (DSPs)Supply-side platforms (SSPs)Ad networksPublishersPerformance marketers

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