Integral Ad Science Expands Meta Content Block Lists to Threads
The expansion of its Social Optimization solution provides advertisers with even greater brand protection and the ability to maximise their return on investment (ROI) on Meta.
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Integral Ad Science (IAS), a global media quality company, has announced the expansion of its AI-driven Meta Content Block List optimisation solution to the Threads feed.
This expansion of its Social Optimization solution provides advertisers with even greater brand protection and the ability to maximise their return on investment (ROI) on Meta.
In 2024, IAS was selected by Meta as the provider to develop an independent optimisation solution for its platforms.
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This latest expansion to Threads builds on IAS’s deep partnership with Meta, which includes Content Block List optimisation and Total Media Quality (TMQ) Brand Safety and Suitability Measurement for ads on Facebook and Instagram Feed and Reels, and now Threads feed.
“Our AI-driven, content-level analysis empowers advertisers to drive performance and confidently scale their investments on social platforms with trusted, third-party, independent solutions,” said Lisa Utzschneider, CEO of IAS.
“We continue to innovate and deepen our relationships with global partners like Meta to provide end-to-end campaign support for advertisers, ensuring they can avoid unsuitable content and maximise their campaign effectiveness.”
The expansion of Content Block Lists to the Threads feed provides global advertisers with:
- Customised Control: Advertisers can align Content Block Lists with their unique brand suitability and contextual goals, including Custom Brand Segments designed for nuanced, brand-specific protection, minimising ad waste and reducing brand risk;
- Automatic Protection: A simple one-time activation provides automatic protection against unsuitable content across Facebook and Instagram Feed, Reels, and now Threads. Advertisers benefit from an automatic hourly refresh of content, ensuring their protection keeps pace with the speed of social media;
- AI Classification: Powered by IAS’s proprietary Multimedia Understanding Model (MUM), IAS’s AI technology comprehensively analyses content at a frame-by-frame level, combining image, audio, and text signals for the industry’s most precise and scrutinising classification;
- Global Support: With support for 34 languages, advertisers can scale their brand safety and suitability strategy globally;
- Third-Party Validation: With Brand Safety and Suitability Measurement as part of Total Media Quality (TMQ) for Meta, advertisers can validate that their Content Block Lists are working as intended and make in-flight optimisations to drive campaign suitability.
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IAS is a major partner for Meta to provide advertisers with independent transparency and control. In October 2024, IAS announced the launch of its first-to-market Content Block Lists for Meta, after being selected as the primary provider to develop this optimisation solution.
Most recently, in October 2025, IAS launched Brand Safety and Suitability Measurement for Meta Threads and launched its AI-driven Contextual Category Reporting for Meta in June 2025.
