Spotify will allow artists to choose songs to promote on radio
Spotify will soon test how to give artists more voice in how their music is discovered. In this experiment, artists and labels can identify the music that is a priority for them and the Spotify system will add that signal to the algorithm that determines custom listening sessions. Spotify will apply this service on Radio and Autoplay initially, after which it will expand it to other sections, depending on the comments.
The music streaming platform will not charge a fee for this service, as wrote in a blog post who wants the tool to be accessible to artists at any stage of their career. Instead, record labels or rights holders will have to agree to be paid a promotional recording royalty rate for broadcasts on personalized listening sessions where this service is provided. Spotify You haven’t mentioned how much lower the rate will be.
“We believe that our recommendations should also be informed by the artists – their priorities and what they have to say about their music,” the company wrote in its blog post. If the songs resonate with listeners, they will be tested in similar sessions, but if they don’t perform well, Spotify said it will remove the songs from the experiment.
Artists will initially be able to focus on specific songs through AutoPlay Tracks, which are songs that play after a user has finished listening to a playlist or album, and Spotify Radio, where the application chooses songs for the listener based on an artist or a song chosen by the listener.
Artists will be able to prioritize specific songs, perhaps the anniversary of an album they are celebrating, a song they are excited about, or a cultural moment they are living. The music streaming service clarified that it will not guarantee location to record labels or artists and will only recommend music that it thinks listeners will want to hear.
Spotify said it was able to make excellent personalized recommendations due to complex and dynamic systems that consider a wide variety of inputs on what listeners like, known as signals. These signals are balanced in many different possible ways to produce an output, which is “the perfect song for the moment.” The signals include what a user is listening to, what song they were adding to their playlist, what time of day the song was heard, the listening habits of people with similar tastes, and more.