Spotify knows this – and they’re working on a fix.
MBW discovered that Spotify invented technology that predicts which artists are “relatively unknown” on its platform “likely to break” in the near future.
According to a new US patent granted on Tuesday (March 1) and obtained by MBW, Spotify has developed what it calls “a system and method for disrupting artist predictions in media content environment”.
Spotify’s new invention works by identifying “one or more early adopters” from a user base and then collecting data from their listening patterns.
The system can then predict which artists are more likely to break based on the listening patterns of these early adopters.
The patent explains: “A user who requested playback of multimedia content from multiple infringing artists was identified and assigned the role of early adopter.
“The breakout artist prediction logic can then predict the future breakout artist based on further playback requests from early users interacting with their media device through the software application.
Spotify notes that users flagged as early adopters “do not need to know that they are early adopters, as the media server responds by streaming the requested media content, as it responds return to all users”.
It’s A&R, people – but the listener is doing all the work. Even if they “don’t have to have any knowledge” they are doing so.
In profile you can read in full this, Spotify uses Pictures. 4 (pictured above) to illustrate the breaking artists prediction system.
Spotify says that the system includes a “back-end media server system,” and that the media server “may include breaking artist prediction logic.”
“Users identified as early adopters need not have any knowledge of them being early adopters.”
In essence, this “predictive logic” tracks consumers whom Spotify has identified as “early adopters” to see which groundbreaking artists they are playing and replaying.
Spotify explains in the filing that, “breakthrough artist prediction logic can identify artists who have grown in popularity in the past based on […] historical data”.
Spotify explains that an artist can be considered “disruptive” if “the artist’s popularity exceeds the minimum playback threshold while the popularity has increased beyond the minimum growth threshold”.
Spotify suggests as an arbitrary example that the “minimum playback threshold” could be 200,000 platform-wide playback requests in a month. Meanwhile, a “minimum growth threshold” could be a 300% monthly increase in replay requests.
Spotify emphasizes that these metrics are “merely exemplary and the minimum playback threshold may be higher or lower.”
Additionally, according to the filing, the numbers to determine whether an artist can be considered groundbreaking can vary “between genres, formats, and audience demographics.”
Spotify explains: “For example, the minimum playback threshold for a popular pop singer might be 200,000 playback requests in a month,” while the minimum playback threshold for a pianist who breaks a recording. classical music can be 20,000 playback requests in a month”.
“Spotify argues in its patent that ‘if a service provider can predict that an artist will explode’, that service provider can also ‘find an early partnership with an artist. doctor to… agreement to record “.”
Spotify argues in its patent that “if a service provider can predict that an artist is going to explode,” that service provider can also “seek early collaboration with the artist.” for advertising and recording deals.”
(Any major record label would comment: yes, that really shows that Spotify is exploring the prospect of using this technology to create early-stage “record deals” with up-and-coming talent. bankruptcy. We hope this is all right for you. )
Collaborations between “service providers” like Spotify and artists, adding the company’s patents, “could also provide an opportunity for service providers to push artists’ media content onto playlists.” and radio to grow the artist’s fan base”.
By doing this, Spotify said, it will play a role in “associating the service provider with ‘trending artists’ or ‘new artists’ and thus” establishing the service provider as do. source for discovering new and exciting media content”.
Of course, using streaming technology to predict disruptive artists in the music business is nothing new.
Born in London Musical instrumentsfor example, famous for its AI-driven A&R spying platform, which can detect big hits by Lil Nas X and Tones & I a few months before those artists signed to major labels that helped their careers grow.
Instruments, in which Warner Music Group share buyback in 2015, using proprietary machine learning combined with human intelligence to combine streaming services and discover around 5,000 new artists every week.
And AI-based platform Music runs a proprietary ‘Hit Potential Algorithm’ that it says can automatically categorize and categorize new music – as well as measure its hit potential – from the content of the track itself.
Spotify is looking to develop what is essentially its own A&R tool for identifying infringing artists and then – according to the patent filing – potentially “early partnering with artists for advertising and recording deals” adds an exciting new layer to the dynamics between Spotify, artists, and brands.
A patent for an original Spotify talent search engine is a potentially game-changing prospect, especially when viewed against the competition landscape. SoundCloud recently launched a new tier of top artist service – called its “lists” – that will see particularly successful independent artists ‘subscribe’ directly to SoundCloud.
Remember that it was only in 2018 that Spotify started offering artists direct distribution transaction – including paying advances, but then withdrawing from the plan.
Could the technology detailed in this patent signal a potential shift in Spotify’s approach going forward?Worldwide music business
https://www.musicbusinessworldwide.com/spotify-just-invented-its-own-patented-ar-technology-to-predict-breaking-artists-should-labels-be-concerned/ Spotify just invented its own patented A&R technology to predict groundbreaking artists. Should the label be of concern?