Music Tomorrow bridges the gap between your music and your audience using cutting-edge SEO strategies tailored for streaming platforms. Discover how our approach can amplify your online visibility and drive more engagement.
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Leverage detailed artist profiles to discover how Spotify classifies and recommends your music.
Inform your strategy by taking consistent actions throughout your release cycle (A&R, distribution, marketing, playlisting) and optimize your discoverability.
Your artist wants to take a new artistic direction? Anticipate the impact on your streaming performances.
Access comprehensive algorithmic data to inform and refine marketing tactics, ensuring maximum impact and ROI.
Utilize precise demographic and geographic insights to craft personalized marketing strategies that increase discoverability.
Leverage detailed artist profiles to create highly targeted marketing campaigns that resonate with core audience segments.
Identify rising artists with high potential early in their career.
Unlock your access to strategic audiences by pinpointing ideal collaborators.
Use health checks and audience insights to guide artist growth and optimize their positioning on streaming platforms.
Locate songs in your catalog with the best algorithmic potential to enroll in discovery programs (e.g. Spotify Discovery mode).
Utilize algorithmic insights to plan and execute release schedules that align with audience activity peaks for maximum exposure.
Integrate algorithmic insights with first-party consumption data to strengthen their analytics offerings.
Music Tomorrow is a strategic streaming analytics platform offering artist-specific insights and tailored solutions for music industry professionals seeking to maximize the digital presence of their roster.
Gain an extensive understanding of any artist's position within Spotify's complex algorithm with our Profile Overview feature. Unveil the specific audience clusters where the artist is most likely to be recommended, empowering targeted strategic decisions.
Ensure your artist's Spotify profile is fully optimized with our Profile Health Check. Receive straightforward, actionable recommendations to boost your catalog and upcoming releases' performance in the Spotify algorithm.
Create precise, high-value audience segments using our Audience Builder feature. Define and export your digital marketing strategies’ target audiences, incorporating relevant artists, genres, key locations, and demographic details.
Revolutionize how you approach playlisting with our Playlist Recommendation feature. Discover the most relevant editorial and third-party playlists for each of your artist's algorithmic audiences, underpinning a more effective artist discovery strategy.
Uncover how musicians and industry professionals are leveraging Music Tomorrow’s analytics platform to amplify their digital presence and drive success.
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 2024.
Most music companies participating in our yearly survey for 2023 — regardless of their size or vertical — were planning to invest more into music data analytics in 2024.
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.
Julie Knibbe
DiscoverLearn how music discovery algorithms work and including knowledge in marketing plans can boost a song release campaign.
Julie Knibbe
DiscoverLearn how to use data to pitch your project and discover artist pitch decks that got people signed to distro/label.
Dmitry Pastukhov
