Seedtag Introduces AI Intention Models for Enhanced Advertising

Seedtag Introduces AI Intention Models for Enhanced Advertising

Seedtag has launched AI Intention Models to improve real-time user intent analysis, enhancing advertising effectiveness without personal data reliance.

Seedtag has launched its AI Intention Models, a new approach to contextual advertising that distinguishes between casual browsing and transactional readiness in real-time, announced in a press release. This innovation aims to enhance advertising effectiveness by leveraging intent signals without relying on personal data.

The AI Intention Models utilize Seedtag's proprietary Contextual AI, Liz, to analyze content at a deeper level, including sentiment and engagement depth. This allows the system to differentiate between low-intent and high-intent content, optimizing ad placements dynamically to capture peak user intent.

Seedtag's approach is designed to reduce mid-funnel inefficiencies and increase engagement, as demonstrated in a campaign with Nissan in Spain. The campaign achieved significant results, with the Cost per Quality Visit averaging 68% below target and the Cost per Lead 35% below goal, proving the effectiveness of intent-based segmentation.

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