NinaData’s platform uses state-of-the-art AI, NLP and finely tuned language models to achieve a high level of understanding of any web page’s intent. This allows the semantic-based platform to optimize the selling of ad inventory by matching URLs to a viewer’s predicted intent based on page-level context. This in turn allows advertisers, ad agencies and marketplaces to precisely target ads with 90+% accuracy without using browser cookies or any other form of personal identifiers.

– Precise keyword-level page analysis: Continuous page-level analysis of URLs across the web and in programmatic bid requests that exhibit the strongest correlation with specific keywords.

– Real-time semantic targeting: Real-time semantic targeting that deconstructs web page “meaning” at the word level to improve performance against display ad inventory based on voter persona, meaning, sentiment, influence, authority, and emotional connection.

– Exact-match keyword-targeting: Exact-match keyword-targeting, with the strongest semantic disambiguation where multiple meanings exist, on highly relevant web pages.

– Cost-effective and high-quality engagement: High-intent audiences for clicks or conversions at a fraction of the cost of high-demand keywords in search engine bidding.

About NinaData

NinaData builds AI-powered ad tech solutions designed to connect brands with high-intent audiences in their natural digital environments. Our WordIntent™ platform uses semantic analysis, contextual targeting, and real-time programmatic buying to create privacy-safe, performance-driven advertising solutions.

About VRTCAL

VRTCAL is an SSP built to promote Direct Demand-to-Supply Connections, reducing the vertical distance between advertisers and inventory, and developing technologies that make a difference. The VRTCAL platform is a proprietary architecture that offers SDKs, oRTB, multiple mediation types, innovative technologies to increase publisher inventory value, and a Marketplace with premium brands and advertisers.

Please reach out to hello@vrtcal.com for any inquiries.