Every Spotify user gets a unique experience, and every new listener makes the platform better. In addition to helping users find new artists and music they will enjoy, it also helps the platform maintain dominance by drawing more users in and encouraging them to purchase a premium subscription. The more active users, the better the AI becomes at recommending the right song to the right user. Spotify’s hyper-personalization AI keeps customers engaged by consistently suggesting new music that aligns with their listening preferences. This is highly innovative relative to the Certainty Factor (CF) and Natural Language Processing (NLP). This is a great way for new artists who may not have a large following or online media coverage to gain exposure. Audio models – Perhaps the most complex, this technology analyzes the raw data of each song, such as the lyrics, tone, instrumental variances and other characteristics, to learn about and recommend songs to users interested in similar-sounding music.It then uses this data to recommend songs based on public perception and perceived similarities between artists. Natural language processing (NLP) – analyzes text online, such as social media posts, blogs and news articles, to learn about various artists, albums and genres.Collaborative filtering – analyzes and compares user listening patterns to determine common interests and make recommendations about what other songs a user might enjoy.Spotify uses three key AI technologies to drive its recommendation software: collaborative filtering, natural language processing (NLP), and audio models. As a result, users who regularly listen to Discover Weekly spend twice as much time on the platform as those who don’t. These curated lists are generated by the company’s discovery and recommendation AI engine and help listeners find new songs and artists, even when they aren’t sure what they want to listen to on a particular day. How Spotify Uses AI To Dominate the Streaming Industryĭiscover Weekly, a feature introduced in 2015, delivers personalized playlists based on streaming history, listening trends and liked music from every one of Spotify’s active monthly users. In fact, 30% of Spotify streams come from AI-recommended songs.ĭistributors can learn from Spotify’s success. Personalized playlists are the secret to Spotify’s success. Thanks to AI, Spotify delivers a personalized listening experience for every customer to keep them on the platform and connected to friends and artists. What explains this disparity in seemingly similar service providers? Comparatively, Apple Music listeners engage with its platform roughly 12 times per month, 5 times less often. In addition, on average, Spotify’s listeners engage with its platform 61 times per month. Although Spotify’s music library of 70 million songs is similar to other streaming services, it has over 422 million highly engaged users and 1.5 times more market share than Apple Music, its closest competitor.
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