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Learn about how these Native and Contextual Advertising vendors stack up against each other by checking out our blurbs, claims, and case studies.

Peer39
"Targets through contextual data for better marketing"
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Peer39 helps marketers optimize ad campaigns by leveraging extensive contextual data. They provide insights for targeting across CTV, web, and mobile platforms without cookies. By understanding content environment and audience mindset, Peer39 ensures relevance, alignment, and improved ad performance. This approach makes it easier to adapt to a constantly changing marketing landscape.
Largest contextual category library
Peer39 claims that it has the industry's largest and most-accurate cookieless pre-bid contextual category library to find the most relevant, suitable, safe, and quality inventory to target.
Advanced analytics for attention
Peer39 claims that it provides modern performance metrics such as Attention and Viewability alongside key insights into ad environments - for web, mobile, CTV, and OLV.
Advanced customization tools
Peer39 claims that it offers the most advanced customization tool set for your contextual strategy, loaded with market-leading and innovative features to plan, create and manage.
Precise
"Contextual and targeted advertising on YouTube."
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Precise.TV helps marketers target YouTube audiences without relying on third-party cookies. They use a proprietary algorithm with machine learning and natural language processing. Their platform predicts performance and audience engagement before campaigns start. It ensures ads are placed next to safe, relevant video content.
Unique Under-18 Solution
Precise TV claims that it launched PACE, the world's first under-18 audience targeting and measurement solution.
Advanced Contextual Intelligence
Precise TV claims that their platform uses advanced ML and NLP to predict performance accurately before a campaign starts.
Superior Ad Placement
Precise TV claims their platform ensures ads appear next to relevant, brand-safe videos, boosting ad spend ROI significantly.