DoubleVerify, a software platform for digital media measurement, data and analytics, announced the launch of content-level controls for Meta’s Facebook & Instagram Feed and Reels – expanding the company’s footprint of independent brand suitability and media performance tools. This release will allow advertisers to avoid content they deem unsuitable before their ads are served, enhancing brand impact across Meta’s platforms. This launch builds on last year’s release of post-bid brand safety and suitability measurement on Meta’s Facebook and Instagram Feeds and Reels.

“DoubleVerify’s new content-level controls are a game changer for advertisers,” said Mark Zagorski, CEO of DoubleVerify. “By combining content-level controls with post-bid measurement, we’re enabling brands to maximise both the quality and impact of their campaigns. Advertisers can ensure their ads appear in environments that align with their brand, powering media effectiveness and boosting advertising ROI. This release strengthens our commitment to provide industry-leading, independent solutions that help brands improve quality reach and drive meaningful engagement on platforms like Facebook and Instagram.”

DV’s newly launched content-level controls evaluate inventory before impressions are delivered, and identify content that falls below the brand safety floor and does not align with the company’s suitability tiers in an automated manner – supporting the delivery of ads to appropriate environments. This approach helps brands optimise future campaigns and media investment decisions.

In addition, DV has rolled out 30 new content-level avoidance categories, such as Youth and Young Adults, Youth Entertainment, and Gambling. These expanded categories offer advertisers precise control and protection tailored to their brand preferences.

DV’s solution is powered by its proprietary, AI-powered Universal Content Intelligence classification engine. DV analyses video, image, audio, speech, and text elements to deliver content classifications at scale. Its key frame extraction method is a smarter and faster way to analyse video content. Instead of examining each video frame, key frame extraction focuses only on the most important moments where changes happen. This streamlined approach ensures quicker, more accurate analysis, uses less computing power and reduces environmental impact – ensuring efficient analysis of campaigns, without sacrificing quality or precision.

Measurement data insights and content-level controls are available through DV Pinnacle, the company’s unified service and analytics reporting platform, enabling advertisers to monitor and optimise their Meta ad campaigns.

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Tags: DoubleVerify, dv, facebook, meta, tiktok