Music Tomorrow

I find the term “superfan” misleading 🤔 . In our collective imagination, a superfan is often portrayed as a teenager with walls covered in posters, attending shows in band merch—today’s Swifties, for example. While this archetype exists, it doesn’t fully capture what being a music fan looks like today. In our latest blog, I dive into the hidden side of the streaming iceberg. ❄️ Music niches are thriving, fans are out there, and they need more ways to connect than tips or VIP tickets. 📖 Read more: https://lnkd.in/etiQwpdK #MusicMarketing #Superfans #AudienceEngagement #MusicTomorrow #Streaming #NicheAudiences #ArtistGrowth

🚀 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