“Fraudsters are smart and they are constantly coming up with new schemes attempting to steal money from advertisers. With TrafficGuard as our partner, we are better able to stay ahead of the fraudsters and exceed our clients’ goals.”
“As a high growth company, we need to be sure we have accurate and clean traffic in order to keep growing and pushing scale. We were looking for a solution that could help us save time and prevent fraud in a truly automated way. What we had before TrafficGuard was measurement. And that’s kind of useless because it limits optimisation and also meant that the more sources you have, the more time-consuming fraud management would be. We wanted prevention.”

CHEQ is the leading solution in the world for Go-to-Market organizations looking to secure their business from invalid traffic (IVT). CHEQ is bringing cybersecurity solutions to CMOs and Marketing teams, protecting their customer acquisition efforts from bots, fake users and other forms of invalid traffic. CHEQ is trusted by over 12,000 customers worldwide ranging from teams and individuals to the world's leading marketing organizations.
Clixtell is a world leader in providing cutting edge solutions for call tracking and preventing click fraud. The company’s professional track record is based on expertise acquired by years of experience in developing state of the art software providing well established solutions suited for all business. The company provides custom made solutions for large agencies as well as to small businesses worldwide. Its bulletproof and flexible plans are designed to suite all clients according to their specific demands and needs and their field of expertise.
Spider AF is an ad fraud detection tool that detects, blocks, and protects web ads from invalid clicks and conversions. With centralized fraud management and advanced automation, advertisers can easily detect fraudulent activity across published ads. Spider AF provides full digital advertising transparency, allowing advertisers to track ad placement, identify fraudulent behaviors, and analyze clean - fraud free data.






