Metadata Lab

7 critical metadata capabilities for UX personalization

Turn inconsistent metadata into a powerful engine for discovery

Make smarter content calls, deliver emotionally resonant personalization at scale,  and remove friction.

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

Our solution analyzes the catalog’s structure and links it to personalization strategies, providing actionable insights on how to optimize UX, satisfaction, and engagement.

Download our solution to find out  more.

🎭 Catalog Analysis

Scan and examine multiple catalogs to spot areas of improvement and make more informed content investment decisions.

🌐 Personalization Tuning

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

 
 
 
🎭 Metadata Pipeline

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

🌐Fingerprint Enrichment

Enrich content catalog metadata with automatically-generated topics, moods, and emotion attributes.

 
 
 
🎭 Binge Markers

Create a seamless binging UX, simplify content transitions and reduce time to content.

🌐Mood Personalization

Delight viewers with personalized recommendations based on emotions and moods.

 
 
 
🎭 Metadata Normalization

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

Download our solution brief to discover how operators can enable new use cases and create compelling video UX.

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