Turn inconsistent metadata into a powerful engine for discovery

Make smarter content calls, deliver emotionally resonant personalization at scale, remove friction. Turn your catalog into a discovery engine.

Smarter content decisions

Bring clarity on content performance.

Don’t leave editorial and product teams to work in the dark. Metadata Lab brings clarity on content performance KPIs, so they can put resources where they count.

Emotionally resonant personalization

Enrich your catalog with fingerprinting data.

Power mood-based and intent-aware recommendations with emotional attributes. Speak to what your audience feels, not just what they’ve watched.

Transform friction into discovery

Consistent, structured, personalization-ready catalog.

Metadata Lab normalizes, structures, and optimizes your data so the UX flows smoothly and discovery feels good.

The huge content demand relies on medatada

Is yesterday’s metadata still valuable?

In an overcrowded video industry, driven by technology and innovation, how the digital catalog contributes to the UX is what differentiates streaming providers.

Seven critical metadata capabilities for UX personalization.

Thousands of titles users can’t discover

Editorial Data Science and product teams spend months fine-tuning algorithms the catalog can’t support. Invest in a strong metadata backbone, or your personalization efforts will fall flat.

Key use cases

Catalog Analysis

Analyze multiple content catalogs to identify opportunities for algorithm optimization and guide smarter content investment decisions.

Personalization Tuning

Adjust personalization algorithms to improve their performance and focus on specific UX KPIs.

Metadata pipeline

Understand which kind of metadata drives your UX strategies and find out the best data provider to feed your workflow.

Fingerprint Enrichment

Analyse audio, video and text to generate metadata like keywords, topics, moods, and emotion attributes, or multimodal embedding.

Binge Markers

Streamline the binge-watching UX with timely skipping of intros and recaps, and automated in-credits recommendations to reduce time to content.

Mood Personalization

Delight viewers with recommendations that adapt to individual moods and emotional states, for a more resonant experience.

Metadata Normalization

Design the metadata structure and the ontology that generates superior personalization performance.

Chapter Recommendation

Generate time-coded metadata to power precise chapter and scene-level recommendations and smarter content navigation.

Turn your catalog into a discovery engine!

Book a meeting with our experts to explore how ContentWise helps operators keep viewers connected and loyal.

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