By analyzing metadata correlation with content performances, ContentWise Metadata Lab understands how coverage, distribution, length, and data quality influence users' interactions, engagement, and satisfaction.
ContentWise Metadata Lab builds on catalog analysis to map the metadata ecosystem and leverage AI technology, data science, and engineering expertise to optimize metadata pipeline, algorithms, and personalization effectiveness.
ContentWise Metadata Lab sources and aggregates 3rd-party metadata allowing operators to create unique use cases, focus on business KPIs, and fully realize the catalog’s potential.
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.