Improved Ad Targeting & Performance Informed by Your Content
AUDIENCE BUILDER
Ad Sales & Operations
Improve ad targeting and find more effective placements with better content analytics and tagging, and privacy-friendly audience segmentation.
More Relevant Ad Targeting
Use content relationships to target based on interests and engagement with your content.
Improved Ad Performance
Uncover and reach less competitive but more focused segments to reach receptive audiences.
Privacy-friendly Segmentation
Build segments informed by content relationships, without requiring invasive tracking.
How does Meaningly improve ad targeting, performance, and revenue?
Meaningly combines powerful computer vision (CV) and natural Language processing (NLP) capabilities to see and annotate all of your content, in any format.
Our system creates a normalized set of tags and attributes of all your content, so you can easily segmentation and target your audience.
Because the Meaningly taxonomy engine was built and curated by humans over 20 years, it can see and tag more than just observable objects.
It recognizes situations, relationships, abstract concepts, and sentiment, enabling content annotation with unprecedented emotional depth which all become targetable criteria for your ad team.
Know what ads will work best and why without pricy and inconclusive A/B testing. Get a head start with suggested creative and insights informed by your content.
Winning Creative without Paid Tests
Test real creative with our predictive performance engine without running paid test campaigns.
More Efficient Ad Campaign Spend
Cast a smaller net with impactful ad creative optimized for attracting your target audience.
Meaningful Insights into What Works
Meaningly highlights not just what works, but exactly why, providing actionable direction for your next ad.
How does Meaningly improve campaign outcomes without costly A/B tests?
Our cutting edge language modeling techniques create a deep but also highly consistent mathematical model of all your content and ads.
Combining your campaign data with our content models provide predictive capabilities that stand up to validation even at scale.
Our modeling engine evaluates all media types against success and failure criteria.
More importantly, it describes exactly which objects, themes, or concepts are responsible, and which ones might make it even better.
Our predictive model is not limited to one set of metrics. It performs well across a wide array of marketing outcomes, from awareness to favorability to click-through-rate.
