A new Tidal feature will display music credits to users, a function which is not often presented on music streaming. The company rolled out the feature this week and indicated that it was created to offer a behind-the-scenes look for users to see how music is made in the studio. The music credits are presented in a different way from conventional album credits. Tidal presents the information as it pertains to an artist, as opposed to how credits relate to an album.
With the new Tidal feature, users can select songs based on the music credits, where selection can be done for individual songwriters, producers, musicians and more. There is an additional feature that allows users to filter through a miscellaneous category for different things including artwork and more.
Image Credit: Tidal
What Makes This Trend Stand Out
- Music Credit Visibility
- The trend of displaying music credits on streaming platforms offers an opportunity for disruptive innovation in music production and artist collaboration.
- Behind-the-scenes Experience
- The trend of offering a behind-the-scenes look at music creation provides an opportunity for disruptive innovation in immersive music experiences and fan engagement.
- Personalized Song Selection
- The trend of allowing users to select songs based on specific credits opens up opportunities for disruptive innovation in personalized music recommendations and niche music discovery platforms.
Sectors Adopting This
- Music Streaming Platforms
- The music streaming industry can explore disruptive innovation by incorporating music credit visibility features, enhancing user engagement, and supporting artist recognition.
- Music Production and Collaboration
- The music production and collaboration industry can leverage the trend of behind-the-scenes experiences to create innovative tools and platforms that facilitate virtual music creation and seamless artist collaboration.
- Music Recommendation and Discovery
- The music recommendation and discovery industry can capitalize on the trend of personalized song selection based on specific credits by developing AI-powered platforms that enhance music curation and niche discovery for users.
