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How Record Labels Fared on Music Charts Around the World
Podcast |
How Music Charts
Media Type |
audio
Categories Via RSS |
Music
Technology
Publication Date |
Mar 20, 2020
Episode Duration |
00:18:34

We're launching something new: stories from our blog … in audio format. We’ll still be bringing you our conversations with music industry professionals every month, but between those conversations, we’ll be sprinkling in important music data stories from our blog that you might have missed or haven’t had the time to sit down and read.

This week, we're diving into Data Scientist Josh Hayes’ comparative analysis of major label vs. non-major label chart performance around the world: https://blog.chartmetric.com/state-of-the-industry-major-label-vs-non-major-label-performance-across-regions/

Follow along with Josh's original piece, which is full of pretty charts and graphs, and subscribe to our blog for more.

How Music Charts is a podcast by Chartmetric that explores the dance between interpreting data and making creative decisions in the music business every day.

This week, we're diving into Data Scientist Josh Hayes’ comparative analysis of major label vs. non-major label chart performance. Which record labels, major or non-major, had the most chart-topping tracks?

We're launching something new: stories from our blog … in audio format. We’ll still be bringing you our conversations with music industry professionals every month, but between those conversations, we’ll be sprinkling in important music data stories from our blog that you might have missed or haven’t had the time to sit down and read.

This week, we're diving into Data Scientist Josh Hayes’ comparative analysis of major label vs. non-major label chart performance around the world: https://blog.chartmetric.com/state-of-the-industry-major-label-vs-non-major-label-performance-across-regions/

Follow along with Josh's original piece, which is full of pretty charts and graphs, and subscribe to our blog for more.

How Music Charts is a podcast by Chartmetric that explores the dance between interpreting data and making creative decisions in the music business every day.

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