Quintesse offers 5 layers of precise, cookie-free contextualization backed by 21 years of industry-leading technology development.
We use natural language processing (NLP) and computational linguistics to offer the most accurate analysis of content available so brands can scale campaigns using inventory from across the global bidstream that is uniquely relevant to their messaging.
We go far beyond static URL-analysis and basic keyword targeting by contextualizing the entire page, including dynamic content like comment sections, to protect your media investment.
To learn more about our technology and how it can help your campaigns, simply request to start a free trial.
Semantic & Sentiment Recognition
Natural Language Processing and page-to-paragraph-to-word relationship logic reduces ‘false positive’ occurrences, preventing valuable inventory from being inaccurately blocked and increasing CPM’s.
Emotional Tone Detection
Our NLP engine can detect emotional tone across an article and classify the degree of anger, fear, anticipation, trust, surprise, sadness, joy, and disgust associated with the content.
Paragraph-Level Analysis
Complete page contextualization determines the relevancy and safety of the media environment more accurately than basic URL-level blocking technologies.
Curated Machine Learning
Contextual algorithms and expert curators continuously identify, audit and re-prioritize new data within targeting criteria to expand campaign reach and relevance.
Dynamic Content Protection
Real-time page-level understanding ensures brand safety in content that frequently changes like news and comment sections.