Josh Hayes

Josh is a data scientist at Chartmetric. He specializes in translating fuzzy, real-world interests into concrete, explicit questions to be directly connected to data structures and algorithms.

Data Dives

Understanding Artist Growth Patterns With Predictive A&R: Part 1

From Alt-Pop rappers to Indie-Folk singers, reaching a destination of digital success can involve many different routes. For A&R teams — and artists themselves — a comprehensive roadmap can be the difference between getting lost and getting discovered.

Data Dives

State of the Industry: Major Label vs. Non-Major Label Performance Across Regions

To vet how labels fared through the streaming transition, we tracked the trends of chart-topping tracks over the past 3-years and across 17 music markets. Below we discuss the most interesting, and most informative, results.

Industry Resources

The Next Era of A&R Tools

Chartmetric’s new A&R tools leverage machine learning to shortlist 1.7M musicians into the high-potential artists that interest you the most

Industry Resources

Using AI to Make Meaningful Comparisons Between Musicians

How unsupervised machine learning and natural language processing (NLP) can identify artists’ genre neighbors

Industry Resources

Chartmetric Originals: Cross-Platform Performance (CPP) Ranks and Scores

A detailed breakdown of how to instantly compare artists’ general performance by utilizing Chartmetric’s data warehouse

Data Dives

The Gender Play Gap

Breaking down men's & women’s performance on music charts