Spotify is an audio streaming platform with over 456 million monthly active users. Spotify is one of the best examples of companies that use Data Science and Machine Learning techniques to provide its services. So, if you want to know how Spotify uses Data Science, this article is for you. In this article, I will introduce how Spotify uses Data Science for its business as an audio streaming platform.
Here’s How Spotify Uses Data Science
Here are some ways Spotify uses Data Science for its business as an audio streaming platform.
Natural Language Search
In most content-based platforms, when you search for a topic, the results are based on how relevant the content’s title or description is to the user’s search query. But things are different at Spotify!
Spotify uses a technique known as semantic search in Natural Language Processing. Spotify calls it its Natural Language Search model.
This model converts the user’s search query into numerical values (known as vectors) and matches their similarity with the vectors of the content of all the podcasts on Spotify. It helps find the most relevant podcasts based on the user’s search query.
The Recommendation System of Spotify
The recommendation system of Spotify is one of the best recommendation systems used by any platform. Spotify uses its recommendation system in three areas:
- Podcasts Model: The podcasts model of Spotify predicts the next podcast a user will listen to;
- Shortcuts Model: The shortcuts model of Spotify predicts the next familiar song or podcast the users will listen to from the moment they visit the Spotify app;
- Playlist Model: The playlist model of Spotify predicts the playlist that a new user on Spotify is most likely to listen to;
The recommendation system of Spotify is one of the reasons behind the 90% of customer retention rate since the launch of Spotify.
Spotify’s Fan Study
Spotify provides many features to its artists to understand their target audience and to grow more as an artist on Spotify. One of the valuable features Spotify provides to artists is known as Fan Study.
Fan Study by Spotify is a valuable tool for artists that provides a collection of data-driven insights into how their fans around the world found them and how artists on Spotify can use data-driven insights from their fan engagement on the Spotify app to grow.
Summary
So below are some ways how Spotify uses Data Science for its business as an audio streaming platform:
- Spotify uses a technique known as semantic search in Natural Language Processing. Spotify calls it its Natural Language Search model.
- The recommendation system of Spotify is one of the best recommendation systems used by any platform. It is one of the reasons behind the 90% of customer retention rate since the launch of Spotify.
- Spotify’s Fan Study feature provides data-driven insights that help artists to understand their fans to grow more on Spotify.
I hope you liked this article on how Spotify uses Data Science. You can find the use cases of Data Science in more companies like Spotify here. Feel free to ask valuable questions in the comments section below.
