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.
Power mood-based and intent-aware recommendations with emotional attributes. Speak to what your audience feels, not just what they’ve watched.
Metadata Lab normalizes, structures, and optimizes your data so the UX flows smoothly and discovery feels good.
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.
Scan and examine multiple catalogs to spot areas of improvement and make more informed content investment decisions.
Adjust personalization algorithms to improve their performance and focus on specific UX KPIs.
Understand which specific kind of metadata drives or constrains your video UX strategies and find out the best data provider to feed your workflow.
Enrich content catalog metadata with automatically-generated topics, moods, and emotion attributes.
Create a seamless binging UX, simplify content transitions and reduce time to content.
Delight viewers with personalized recommendations based on emotions and moods.
Design the metadata structure and the ontology that generates superior personalization performance.