Audoo's Denver Song-Tracking Study Reveals Shocking Disconnect Between Public Venues and Streaming Charts

Audoo's Denver Song-Tracking Study Reveals Shocking Disconnect Between Public Venues and Streaming Charts

By Daniel Rosewood

March 8, 2025 at 02:13 AM

Audoo's recent song-tracking pilot in Denver reveals significant gaps in how public performance royalties are currently tracked and distributed. The London-based company successfully monitored hundreds of venues across Denver, achieving nearly 100% accuracy in song detection.

Senor Bear restaurant in Denver, Colorado

Senor Bear restaurant in Denver, Colorado

Key findings from the pilot (June 2024 - February 2025):

  • Almost every song was successfully detected and logged with complete metadata (ISRC & ISWC)
  • Minimal overlap between public venue plays and popular streaming platforms:
    • Apple Music: 0% overlap
    • Billboard: 2.5% overlap
    • Shazam: 5% overlap
    • Spotify: 5% overlap
    • TikTok: 0% overlap

Music origin analysis:

  • Over 50% from United States
  • Nearly 15% from UK
  • Single-digit contributions from Australia, France, Germany, and Sweden

Top 10 most-played artists in Denver venues:

  1. Tame Impala
  2. Jungle
  3. Hozier
  4. Taylor Swift
  5. Morgan Wallen
  6. The Rolling Stones
  7. Fleetwood Mac
  8. Bad Bunny
  9. Zach Bryan
  10. Neil Frances

Notable venue insights:

  • Señor Bear restaurant features 76% Latin American music (Argentina, Puerto Rico, Colombia, Spain)
  • 24% of their playlist includes local American artists
  • Different venue types (restaurants, gyms, retail) show distinct playing patterns

The study's timing coincides with Congressional inquiries into PRO operations and the US Copyright Office's investigation into performance tracking methods. Audoo CEO Ryan Edwards suggests a straightforward solution: implement comprehensive tracking technology to count every song played in public spaces.

This data challenges current assumptions about public performance plays matching streaming popularity, indicating potential missed opportunities in royalty distribution accuracy.

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