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.
Request a DemoUtilize artist data graphs and algorithmic positioning analysis from Spotify recommenders to create precisely targeted marketing campaigns, enhancing resonance with your audience.
Employ advanced analytics to understand audience behavior patterns, including listening time and engagement rates, crafting personalized marketing strategies that foster deeper fan interaction and loyalty.
Leverage insights from multi-artist and track level analysis to refine marketing tactics continuously, boosting overall impact and ROI.
Use our SaaS platform to identify emerging artists with significant algorithmic potential early, evaluating their positioning within Spotify's ecosystem and their relative standing among similar artists.
Apply detailed analytics to monitor and guide artist growth, utilizing insights such as engagement rates and algorithmic maturity to optimize their streaming platform presence.
Analyze algorithmic surroundings to identify potential collaborators and strategic partnerships, ensuring that your artists are matched with the right co-artists to amplify their reach.
Implement SEO strategies for streaming platforms to ensure that your artists are prominently featured in algorithmically relevant playlists, increasing visibility and streams.
Use pre-release and post-release data to understand the optimal timing and strategy for new releases, aligning them with audience activity peaks to maximize exposure.
Employ geographic and demographic audience analytics to focus distribution efforts strategically, enhancing market penetration in key areas.
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