We unveil the black boxes of the digital music industry and help artists & music professionals find a new and better way to make artists more visible on streaming platforms.
Two years ago, we started developing our own platform, based on our knowledge about music recommender systems, to help labels make their artists more visible. Since then, we made significant advancements: you can now use our analytics tools to gain insights into how Spotify's algorithms perceive your music, and use this information to amplify your online presence. We collaborated with both major and independent industry players, including Universal Music Group, Warner Music, Handwritten Records, Tôt ou Tard, Because Music, among others, to fine-tune our tools and data, ensuring they meet the evolving needs of artists and labels alike.
In 2023, data management and analysis are integrated into most workflows in the music business, turning music data proficiency into an integral component of the music business skill set.
of all music professionals are engaging with data analytics every day
of music business plan to increase their data management & analytics budgets in 2023
Most music companies participating in our yearly survey for 2021 — regardless of their size or vertical — were planning to invest more into music data analytics in 2022
Music Tomorrow was founded in 2020 by longtime music industry executive Julie Knibbe. Before launching Music Tomorrow, Julie worked at the bleeding edge of music data more than 8 years — pioneering music recommendation and discovery at Deezer, and leading the product team at Soundcharts.
Today, Music Tomorrow is a dedicated team of music data scientists, analysts and product managers, working hands-on with some of the industry’s most innovative data products, sharing their learnings and knowledge with the music community to help build a more fair and transparent digital music business.Meet Our Team ⟶
Build up your skill set and unlock your next career opportunity with dedicated music data courses.Discover the Academy ⟶
Learn how to influence Spotify algorithms: from the technical foundations, down to playlisting, PR and marketing strategies.
Learn how music discovery algorithms work and including knowledge in marketing plans can boost a song release campaign.
Learn how to use data to pitch your project and discover artist pitch decks that got people signed to distro/label.