CHEQ

The problem CHEQ solves has become harder rather than easier. Ten years ago, ad fraud meant botnets and click farms. Today, it means botnets, residential proxies pretending to be human, AI agents that generate fake form submissions at scale, sophisticated SDK spoofing that fakes mobile app installations, and deepfake browsers that mimic human behavior well enough to defeat traditional fraud detection. The sophistication of fraud has evolved faster than most tools, creating a gap between what ad platforms consider valid and what actually represents legitimate business opportunity. CHEQ's approach to this problem is to build a comprehensive signal processing pipeline that can distinguish legitimate humans from all the ways machines try to impersonate them.

The platform operates at a staggering scale. CHEQ monitors approximately one million domains and processes six trillion signals daily, creating one of the largest datasets in ad fraud detection. These signals include traffic metadata, device characteristics, behavioral patterns, geolocation data, and bot fingerprints. The company feeds all of this into machine learning models that assess whether each visitor is a human, a bot, or an AI agent, and what risk profile that visitor carries. The output is a 0.009 percent false positive rate, which means CHEQ blocks fraud while accidentally filtering fewer than one legitimate visitor per 10,000 real users. This accuracy matters deeply because false positives cost money: they reduce your conversion rate, alienate real customers, and make your conversion data unreliable.

CHEQ's product suite breaks into three main categories. Marketing Security includes CHEQ Acquisition (protecting paid campaigns from click fraud and invalid traffic), CHEQ Form Guard (stopping bots from flooding your forms with fake submissions), and CHEQ Analytics (identifying non-human traffic patterns in your reporting data). Control and Compliance includes CHEQ Manage (centralizing governance of ad tags and data flow to your marketing vendors) and CHEQ Enforce (managing global privacy compliance for GDPR, CCPA, and similar regulations). Trust and Identity includes CHEQ Agent Intent, which classifies visitors by type (human, bot, AI agent) and intent, enabling you to route traffic appropriately based on what kind of actor you're dealing with. This three-layer structure means CHEQ is solving multiple problems simultaneously: fraud, compliance, and understanding visitor composition.

The fraud detection engine relies on continuous behavioral analysis rather than static rules or IP reputation alone. Every visitor generates a pattern of interactions: the sequence of pages visited, the speed of scrolling and clicking, the timing of form fills, the device behavior, the network characteristics. Legitimate humans create recognizable patterns. Botnets create different patterns. AI-generated interactions create yet different patterns. Click farms creating form submissions create patterns that don't match humans either. CHEQ's models learn these patterns from billions of interactions and flag deviations. This dynamic approach handles new fraud techniques faster than rule-based systems, because the underlying patterns humans create remain stable even as fraudsters find new tools. It also avoids over-reliance on IP reputation, which residential proxies have made nearly useless as a fraud signal by themselves.

One challenge with any platform making fraud verdicts at this scale is the false positive rate. An overly aggressive system that catches 99 percent of fraud but also blocks two percent of legitimate traffic will destroy your business. CHEQ's 0.009 percent false positive rate suggests the opposite problem: they might be leaving some fraud unblocked in favor of accuracy. The company's positioning emphasizes "stop fraud without stopping sales," which implies a bias toward not accidentally harming legitimate business. This matters especially for verticals like lead generation and affiliate marketing where the gap between legitimate high-volume traffic and fraud-like patterns can be thin. CHEQ appears to have chosen the side of business continuity over absolute fraud elimination, which aligns well with companies that can tolerate small amounts of fraud but cannot tolerate customers getting blocked.

CHEQ publishes several significant industry reports that provide insight into their data collection and analysis capabilities. Their "State of Fake Traffic 2024" report analyzed more than 15,000 brands and tracked invalid traffic trends across the year. The company found that invalid traffic comprised 17.9 percent of all website traffic in 2023, up from 11.3 percent in 2022, demonstrating the severity of the fraud problem and how it's accelerating. They also publish specialized reports on topics like junk lead generation and fake form submissions. These reports serve dual purposes: they provide value to the industry while demonstrating the depth and breadth of CHEQ's data. A platform that can make definitive claims about how much traffic is fake across 15,000 brands has considerably more evidence than competitors claiming similar capabilities.

The customer base includes Paycor, which reported a 50 percent increase in inbound paid marketing qualified leads after deploying CHEQ. Spark and 1st Franklin Financial also rely on the platform, representing e-payroll, banking, and financial services verticals where invalid traffic directly undermines business metrics. The diversity of customers suggests CHEQ's technology works across different types of fraud problems rather than specializing in only affiliate traffic or only search ads. This breadth makes it suitable for enterprise companies running multiple channels and requiring a unified fraud prevention strategy.

CHEQ's broader focus on compliance and tag management means it's useful for organizations dealing with multi-vendor marketing stacks. If you're running dozens of tracking and measurement tools and need to ensure they're compliant with GDPR and state privacy laws while also filtering bot traffic, CHEQ Manage and CHEQ Enforce add value beyond fraud prevention. Similarly, if you need to understand your visitor composition (how much legitimate traffic, how much bot traffic, how much AI agent traffic), CHEQ Agent Intent provides that classification in a single unified view. This positioning makes CHEQ work better for large organizations with complex marketing operations than for small teams focused narrowly on blocking click fraud.

CHEQ fits best in organizations with sophisticated marketing stacks running multiple channels and traffic sources simultaneously. If you need comprehensive fraud prevention that handles paid campaigns, form submissions, and visitor classification in one platform, if you have privacy compliance requirements beyond GDPR, or if you want actionable understanding of how much of your traffic is composed of bots and AI agents, CHEQ provides that capability at enterprise scale. The tradeoff is cost and implementation complexity compared to simpler single-channel fraud blockers, so it works better for mid-market and enterprise buyers than for startups focused on one advertising channel.