Mirrors Contextual Targeting Solution for Video Ads | Silverpush

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Take your video ad campaign to the next level with video -level contextual targeting that gets more views, higher engagement, and better conversions by reaching specific videos based on specific moments, not just keywords.

Unified Contextual Intelligence Across Platforms

Mirrors ensures the same contextual strategy translates seamlessly across screens and formats.

YouTube

Mirrors for YouTube empowers brands and agencies to connect with their audiences by delivering ads that perfectly match the content they’re watching. Powered by the award-winning Mirrors AI Engine, this ensures your ads appear in the most relevant and brand-safe environments to drive higher view-through rates, better ad efficiency, and superior performance.

Programmatic

Go beyond cookies and deliver ads based on the context of the page as your audience is browsing. Mirrors Programmatic helps brands get the most out of each video ad placement by making sure that each ad unit is relevant to the user experience, instead of relying on third-party identifiers.

CTV

Boost your CTV ad performance with Mirrors’ advanced AI technology, scanning 70M+ videos across streaming apps and smart TVs. Achieve higher efficiency, transparency, and engagement with custom audience segments and video-level targeting strategies designed to drive real results.

Social

Power your social ads with a layer of contextual intelligence that gets your video ads in front of the most relevant influencers, pages, and profiles on Instagram and Facebook to drive higher engagement and conversion from social audiences.

Why Mirrors?

2x Brand lift
90% Avg VTR
#1 Video-Level Brand
Safety Solution
20% Lower Costs than
the Competition
30+ Awards for
Campaign Performance

Mirrors AI: Award-Winning Contextual Technology

Get instant contextual insights with real-time data.

Measure performance as it's happening.

Mirrors AI delivers real-time insights and a clear view of your campaign performance. Tracking millions of URLs and analyzing half a billion seconds of video daily, our AI uses historical data to help you quickly understand metrics, adapt strategies, and optimize the outcome of your ad spending.

There’s no challenge too big forAI

Experience

Learn more on how Mirrors creates a strong brand connect with your customers.

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    Frequently Asked Questions

    Mirrors is Silverpush's AI-powered Contextual Intelligence Suite that enables video-level contextual targeting across YouTube, programmatic, CTV, the open web, and social platforms. Using proprietary AI, it analyzes video content to understand context and match ads with the most relevant environments. Powered by a multi-agent AI framework, specialized agents manage campaign setup, brand-safe delivery, real-time optimization, and performance analysis, continuously learning to improve results.

    Unlike keyword targeting, which relies on topic matching, Mirrors uses proprietary AI to understand the context and meaning of video content, identifying what a moment actually means to viewers. Its multi-agent system then uses this intelligence to automatically plan, place, optimize, and learn from campaigns in real time. When a contextual signal, such as a podcast, tutorial, or influencer category, drives stronger performance, the system automatically shifts budget toward it across active platforms.

    Yes. Mirrors is recognized as the #1 video-level brand safety solution, giving brands granular control over where their ads appear. It combines brand suitability filters with contextual relevance, ensuring ads run next to appropriate content across all supported platforms.

    Mirrors supports contextual targeting on YouTube, programmatic display and video, CTV, TikTok, Openweb, Facebook, and Instagram - providing a unified contextual strategy across all screens.

    Mirrors analyzes over 500 million seconds of video content daily, delivering a 90% average VTR, 2x brand lift, and 20% lower costs than competing contextual solutions - recognized across 30+ industry awards.