IAS Unveils AI brand safety and suitability measurement for Meta Threads
Integral Ad Science (IAS), a leading global media measurement and optimization platform, announced the expansion of its Total Media Quality (TMQ) for Meta to include Threads, providing third-party, independent Brand Safety & Suitability Measurement on the rapidly growing platform for the first time. Leveraging IAS’s AI-driven Multimedia Technology, which analyzes video, images, audio, and text signals at scale, TMQ for Threads allows advertisers to safeguard brand reputation while confidently scaling campaigns in real time. This expansion complements IAS’s existing pre- and post-bid coverage across Facebook and Instagram Feed and Reels, providing advertisers with comprehensive Meta ecosystem support.
Also Read: Rokt mParticle Launches Hybrid CDP Built on Snowflake AI Cloud
“IAS’s AI-driven content-level analysis enables advertisers to drive performance and confidently scale their investments with trusted, third-party, independent measurement,” said Lisa Utzschneider, CEO of IAS, highlighting the company’s commitment to innovation and partnership with Meta. IAS’s solution offers content-level insights, third-party validation for safe content adjacency, industry-aligned classification across key categories and risk levels, and frame-by-frame AI analysis for precise suitability measurement. With global coverage in 34 languages, TMQ equips advertisers with actionable insights and a unified view of campaigns on Threads, enabling optimized inventory use, campaign performance, and brand safety at scale.
Comments are closed.