AI + Human Intelligence powered solutions are redefining the limits of contextual brand suitability in video.
Imagine if your campaign could target against moments
Introducing Mirrors
Tap into desired in-video contextual moments.
In-Video Contextual Triggers and Precision Targeting
Mirrors is trained to draw insights from millions of pieces of visual content. Mirrors uses computer vision to identify in-video contexts for highly relevant ad placement targeting.
How does it work?
Detect Visual Triggers and Discover Content
Mirrors uses AI and computervision to scan YouTube videos to detect context triggers such as a brand’s Logo,
Faces and Objects in-video.
Example: Pizza Hut (Logo), slice of
pizza (Object)& actor Mike Myers (Faces).
Deliver Ads in Contextual Moments
Once videos with in-video contextual triggers are detected, Mirrors places pre-roll, mid-roll, overlays, companion banners, and CTA in line with relevant moments.
Resume Content
Once the Pizza Hut pre-roll/mid-roll ad has completed, the original video resumes. Companion ad remains.