Music Tomorrow

🚀 It's time to take things to a whole new level 🚀 Last year, we shared our first-ever optimization case study — a data-driven strategy that helped drive 11x algorithmic streams for an emerging indie pop artist. Today, we're proud to release our second optimization strategy breakdown, showcasing how the amazing team over at tôt Ou tard used Music Tomorrow's insights to optimize the algorithmic exposure for the latest Vianney release — an album featuring upwards of a dozen collaborations, with names such as MIKA and Ed Sheeran on the bill. Here’s how it went: #musicbusiness #streaming #spotify #marketing #recommendersystems

🎶 Breaking Insights from the Latest Spotify Fan Study! 🎶 Did you know? Spotify's mixes, radio, and autoplay features drive over a quarter of all new artist discoveries, totalling a whopping 26.3%. And that's not even counting high-profile playlists like DW and RR. With these included, algorithm-mediated discovery could be as high as 40%! As of 2024, recommender systems have become indispensable tools, helping users navigate an expansive musical landscape. However, many artists teams are still in the dark about how these algorithms view their music, who their algorithmic audience is, or why some tracks receive more algorithmic support than others. 🔍 This is where Music Tomorrow comes in. Our analytics tools empower artist teams with detailed insights into their algorithmic positioning, enabling you to craft actual data-driven optimization strategies — far removed from the myths and opaque "best practices" that claim to game the system. 🚀 Take charge of your algorithmic profile today! Go to music-tomorrow.com/seo to start making informed decisions that will help you broaden your algorithmic footprint

🚀 Exciting News for Artists & Labels! 🚀 After a thrilling two-year journey diving deep into the heart of Spotify's algorithms, we're thrilled to unveil the secrets to boosting artist visibility on streaming platforms. 🎧✨ Two years ago, we embarked on a mission to demystify the complex world of music recommender systems. Our goal? To empower artists and labels with the tools they need to shine in the crowded digital landscape. Today, we're proud to share that dream has become a reality. 👉 Dive into our latest blog post to discover: Exclusive Insights: Learn how Spotify's algorithms perceive your music and how you can leverage this knowledge to your advantage. Advanced Analytics Tools: Get a sneak peek into our platform that offers unprecedented insights into your music's online presence. Collaborative Success Stories: From major to independent players, see how our strategies are meeting the evolving needs of the industry. Whether you're looking to amplify your online presence, understand the intricacies of Spotify's algorithms, or simply curious about the future of music streaming, this article is for you. 🔗 Read the full article here: https://lnkd.in/e7jYchFg Let's reshape the future of music together. 🎶💡 #Spotify #MusicIndustry #SEO #Artists #MusicStreaming #Innovation #recommendersystems

Thrilled to share that Music Tomorrow clinched a win in the Music Ally SIX 2023 Startups Contest! 🏆🎶 This recognition means a lot to us!

Thrilled to share that Music Tomorrow clinched a win in the Music Ally SIX 2023 Startups Contest! 🏆🎶 This recognition means a lot to us!

🚀 Exciting News! Music Tomorrow is a FINALIST in the Music Ally SIX Startup Contest in the Data, Analytics, and Tools category 🏆🎶 This recognition is a testament to our team's hard work and dedication to innovating in the music industry. Our mission has always been to empower artists, labels, and music professionals with cutting-edge data-driven insights and tools, and being a finalist in this esteemed competition reaffirms that we're on the right track! We invite you to check out the full list of finalists and explore the innovative startups in the music industry: https://lnkd.in/eY7JsZmx Stay tuned for more exciting updates as we move forward in this competition! Benoit Menet Dmitry Pastukhov Pierre Niboyet Maxence Roux David Lorin Melissa Si Moussi Romain Bonissol Caroline Berthier #MusicTech #Data #Analytics #MusicIndustry #StartupFinalist #Innovation

As those of you who followed our path closely know already, earlier this year we launched our pilot RSO program, working with select label partners to deliver the first round of algorithmic optimization campaigns. The goal? Validate our algorithmic optimization framework, and develop a set of case studies to share with the broader industry. Today, we’re finally ready to come out with the first of such case studies — opening up an entirely new frontier of music marketing. Not going to lie — this is a huge milestone for us. Massive thanks to the amazing team over at Handwritten Records and other forward-looking labels taking their first RSO steps with Music Tomorrow. And, of course, congratulations to the MT team who made it all possible. The journey is just beginning! Check out the link below for the breakdown of the music industry’s first successful algorithmic optimization campaign! https://lnkd.in/eUNu-TK5 Julie Knibbe Maxence Roux David Lorin Benoit Menet Romain Bonissol Melissa Si Moussi David Zierler Gene Avery Hogsett Kate Mateo #musicmarketing #recommendersystems #spotify #casestudy