Integral Ad Science (IAS), a global leader in media quality, today announced the expansion of its AI-driven Meta Content Block List optimization solution to Threads feed. This expansion of its Social Optimization solution provides advertisers with even greater brand protection and the ability to maximize their return on investment (ROI) on the rapidly growing social platform, which grew to over 400 million monthly active users (MAUs) globally in 2025.
IAS expands Content Block Lists to Threads feed after being first provider selected by Meta to develop independent optimization solution in 2024.
Threads grew to over 400 million monthly active users globally in 2025.
Supports 34 languages for global brand safety and suitability strategy.
Powered by IAS's proprietary Multimedia Understanding Model (MUM) analyzing image, audio, and text signals frame-by-frame.
Includes Custom Brand Segments for nuanced, brand-specific protection.
Automatic hourly refresh of content keeps protection current with social media speed.
“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 maximize their campaign effectiveness.”
The expansion of Content Block Lists to Threads feed provides global advertisers with customized control, automatic protection, industry-leading AI classification, global support across 34 languages, and third-party validation through Brand Safety and Suitability Measurement as part of Total Media Quality (TMQ) for Meta.
Customized 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, minimizing 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.
Industry-Leading AI Classification: Powered by IAS's proprietary Multimedia Understanding Model (MUM), IAS's AI technology comprehensively analyzes content at a frame-by-frame level, combining image, audio, and text signals for the industry's most precise and scrutinizing 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 optimizations to drive campaign suitability.
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry's most actionable data to drive superior results for the world's largest advertisers, publishers, and media platforms. IAS's software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers.
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