The newly launched Spotify 'Enhance' feature will automatically recommend songs for users already existing playlists by algorithmically assessing its style and themes.
The new feature will come in the form of an 'Enhance' button at the top of all playlists on the app. Once tapped, Spotify's proprietary algorithm will automatically add recommended songs to the playlist based on what it believes will align best with the music already there. Songs recommended by 'Enhance' will be marked with a green star icon, giving users the chance to either delete the recommendation or add it to their playlist permanently by pressing the plus button.
According to the company, songs added through 'Enhance' will not impact the original playlist itself as it can be easily toggled on and off. In addition, users will not have to worry about their playlists becoming overwhelmed with recommended content -- Spotify has set a maximum of 30 recommended songs per playlist unless configured otherwise by users.
Algorithmically Enhanced Music Playlists
Spotify 'Enhance' Intends to Spice Up Users' Playlists
Trend Themes
1. Algorithmic Music Recommendations - Opportunity for music streaming services to implement algorithmic music recommendations to personalize users' playlists and enhance user experience.
2. Customized Playlist Curation - Trend towards customized playlist curation as a tool for music streaming services to differentiate themselves in a competitive market.
3. Data-driven User Experience - Growing importance of data-driven user experience in music streaming as a means of improving retention and user satisfaction.
Industry Implications
1. Music Streaming - Opportunity for music streaming services to differentiate themselves and increase user retention by implementing algorithmic music recommendations and customized playlist curation.
2. Artificial Intelligence - Growing demand for artificial intelligence technology in music streaming services to provide personalized recommendation and curation features.
3. Big Data Analytics - Importance of big data analytics in music streaming services in order to gain insights into user behavior and preferences to improve overall user experience and retention rates.