MODEL TRAINING DATA FOR AI APPLICATIONS

Smarter AI models with clickstream data

Train models for superior performance with comprehensive, real-world user behavior data

Clickstream data from a global user panel

Clickstream data captures the paths users take across the web, providing rich behavioral signals. Our large-scale datasets and pre-built vector embeddings enhance data platforms and vector databases, enabling more effective AI training and performance. Datos has one of the world’s largest panels, tracking 15 Billion+ URLs in 185 countries.

Tap into the full potential of clickstream for AI

REAL-LIFE APPLICATIONS
Benchmark

Recommender systems

Clickstream data trains recommender systems by revealing patterns in user behavior, like which items are viewed together or what triggers a drop-off. These signals help models predict and suggest what users are likely to want next, without relying on personal identifiers.

Ranking algorithms

When users skip top results and choose lower-ranked ones, that behavior flags relevance gaps. Clickstream feedback helps re-ranking algorithms learn from this, reducing zero-click sessions, and boosting overall engagement.
Semantic search

Semantic search

Clickstream data can enhance semantic search by training models to interpret vague or incomplete inputs. This means more accurate results, fewer dead ends, and a smoother search experience that keeps users coming back.

More ways to reach your goals with Datos

Integration flexibility

Seamlessly integrate our solutions with your existing systems and tools.

Opt for in-app data

Augment your clickstream data with in-app interactions, through our partnership with Mfour.
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Custom reporting

Tell us your goals or pain points, and our analysts will build a custom solution for you.
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Let’s build better AI together with clickstream data

Get in touch with our team

Book a meeting to explore how Datos can elevate your data strategy