Seedtag Launches AI Intention Models to Unlock Real-Time User Intent

The Contextual Advertising Leader Introduces AI Intention Models, Advancing Through the Marketing Funnel to Deliver Effective, Privacy-First Advertising to High-Intent Audiences
 

Seedtag, the global contextual advertising company, the global contextual advertising company, has today announced the launch of its AI Intention Models, a context-driven and effective advertising approach that distinguishes between casual browsing and transactional readiness in real-time, without relying on personal data.

Designed to move beyond basic contextual targeting, the AI Intention Models enhance Seedtag’s open web contextual intelligence by leveraging intent signals that enable more effective engagement of action-ready consumers.

While conventional methods rely on static keyword or category-based matching, Seedtag’s proprietary Contextual AI, Liz, continuously refines intent signals in real-time. By analysing content at a deeper level, including sentiment, engagement depth, and contextual nuance, AI Intention Models can then determine whether the reader is seeking more information on a topic or is ready to take action.

This intent-driven approach enables Liz to differentiate between low-intent content, such as an article about the pros and cons of buying vs. leasing a car, and high-intent content, like a car review aimed at potential buyers.

Unlike traditional systems that treat all relevant content equally, Seedtag’s approach with its new AI Intention Models is:
- Trained on intent-labeled datasets to differentiate between informational and transactional content.
- Unique to each campaign, adapting intent scoring based on brand-specific goals and conversion paths.
- Dynamic and continuously optimized, ensuring ad placements adjust in real-time to capture peak user intent.
By integrating Seedtag’s AI Intention Models into its core activation strategies, brands can reduce mid-funnel inefficiencies, increase engagement, and drive measurable business outcomes, proving that Intention Modeling bridges attention to intention.

“The launch of our high-intention models is a pivotal step in enhancing activation effectiveness. By analysing diverse datasets, including search engine positioning, we optimise both reach and profitability. This technology helps us identify new audiences while engaging high-intent users in the decision-making process, driving stronger outcomes across the funnel”, says Fabio Arnau, VP of Brandformance at Seedtag.

Delivering Impactful Outcomes

Leading automotive brand Nissan partnered with Seedtag in Spain to boost the visibility and consideration of the new Nissan Qashqai among potential buyers in the C-SUV segment. Through an innovative digital strategy, the collaboration focused on reaching users in the active evaluation phase, generating interest and high-quality leads. This approach ensured the achievement of key performance metrics aligned with the brand’s efficiency and profitability goals.

The campaign delivered outstanding results. The Cost per Quality Visit (CPQV) averaged 68% below the target, while the Cost per Lead (CPL) was 35% below the goal. Additionally, qualified visits tripled compared to Nissan’s original KPI.

"Our challenge was to optimize Nissan’s full-funnel strategy, improving consideration without compromising efficiency in the lower funnel.” said José Manuel Muries, Cluster Director, Nissan United. “With Seedtag’s intent-based segmentation, we reduced CPQV by 68% and improved performance across all stages. These results confirm that contextual AI is key to driving brand performance."