Case Study: StackAdapt reduces fraud risk by 86% with impact.com’s Forensiq

StackAdapt - Customer Case Study

StackAdapt is a leading native advertising platform where advanced machine learning meets modern user experience. With a strict anti-fraud stance, the company needed to guarantee that every ad impression was verified and to enforce rigorous quality control before scaling its flagship product, so it set out to find the right verification partner.

StackAdapt partnered with Forensiq and integrated its pre-bid invalid traffic prevention solution to evaluate partner domains and exchanges before bidding. This proactive approach strengthened StackAdapt’s risk management and drove measurable improvements: an 86% reduction in fraud risk versus TAG’s 2017 benchmarks and a 16% improvement versus TAG’s 2017 Certified Channel benchmarks.

StackAdapt

Michael Shang

Programmatic Partnership Manager