Seedtag, a global leader in contextual advertising, has announced the launch of its AI Intention Models, a cutting-edge technology designed to identify and engage action-ready consumers in real time—without relying on personal data. This innovation marks a significant advancement in contextual advertising, moving beyond traditional keyword-based targeting to analyze true user intent.
Bridging the Gap Between Attention and Intention
Unlike conventional methods that rely on static keyword or category-based matching, Seedtag’s proprietary Contextual AI, Liz, continuously refines intent signals in real time. By analyzing content at a deeper contextual level, including sentiment, engagement depth, and nuanced intent signals, the AI Intention Models determine whether a user is simply exploring a topic or is ready to take action.
For instance, while conventional advertising might target any article about cars, Seedtag’s AI Intention Models differentiate between:
- Low-intent content, such as an article discussing the pros and cons of buying vs. leasing a car.
- High-intent content, like a detailed car review aimed at potential buyers actively evaluating their next vehicle.
This intent-driven approach enables brands to deliver smarter, more efficient ad placements, ensuring messages reach users at the most impactful moments.
How AI Intention Models Elevate Campaign Performance
- Trained on intent-labeled datasets – AI models distinguish between informational and transactional content, ensuring more precise targeting.
- Customizable for each campaign – Intent scoring is dynamically tailored to brand-specific goals and conversion paths.
- Continuously optimized in real time – Ads automatically adjust to capture peak user intent, driving better performance across the funnel.
By integrating AI Intention Models into core activation strategies, brands can minimize mid-funnel inefficiencies, enhance engagement, and drive measurable business outcomes—bridging attention to intention like never before.
Also Read: Amagi and Olyzon Partner to Revolutionize CTV Advertising with Innovative Ad Formats
“The launch of our high-intention models is a pivotal step in enhancing activation effectiveness. By analyzing diverse datasets, including search engine positioning, we optimize 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,” said Fabio Arnau, VP of Brandformance at Seedtag.
Driving Real-World Impact: Nissan’s Success Story
A 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 high-quality leads and driving engagement. This intent-based approach helped Nissan achieve key performance metrics while maintaining efficiency and profitability.
“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.”
A Smarter Future for Contextual Advertising
With the launch of AI Intention Models, Seedtag is redefining contextual advertising—giving brands the ability to reach audiences based on real-time engagement signals, not outdated keyword matching. This next-generation technology ensures higher efficiency, improved engagement, and greater conversion potential, setting a new standard for privacy-first, performance-driven advertising.