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Sharper Recommendations, Higher Engagement

Recommendations are only as good as the data behind them. Spotify governs the taxonomies that classify its content, so every listener gets sharper recommendations that drive engagement and ad revenue.

Challenge

Content vocabularies lived in disconnected places, so the same genres and categories drifted across teams. Recommendation systems inherited inconsistent signals, and improving discovery meant reconciling definitions by hand.

Solution

Spotify built a governed context layer for its content taxonomies: one trusted source that powers every recommendation. Classification stays consistent as the catalog grows, so recommendations get sharper over time.

Technical approach

  • One canonical model of content taxonomies, powering every recommendation
  • AI-drafted, expert-approved, and kept governed and current

Results

  • Listener engagement up 10-20%, from more relevant recommendations
  • More monetizable inventory, as better classification sharpens ad targeting
  • New content formats launch faster, without rebuilding taxonomies