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.
