In an overcrowded video industry driven by technology and innovation, how the digital catalog contributes to the UX is what differentiates streaming providers. AI, ML, and personalization algorithms' performances depend on metadata quality.
Hence, to provide a personalized and engaging UX and to fully monetize content investments, the catalog must include consistent, deep, and rich metadata.
ContentWise Metadata Lab 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 brief to discover how operators can enable new use cases, create compelling video UX, mitigate churn, and foster more informed content strategies.
- Catalog Analysis
- Metadata Pipeline
- Binge Markers
- Metadata Normalization
- Personalization Tuning
- Fingerprint Enrichment
- Mood Personalization