“Getting bored? Listen to a track.
Driving somewhere? Let’s listen to music.
Can’t sleep? Hear this podcast.”
The use cases for a music streaming app are endless. Music streaming has become an integral part of our everyday lives.
What makes music streaming apps interesting is the ever-changing technologies that power these apps. Think about it, there was a time when people used to listen to music offline through CDs, DVDs, downloaded MP3s, etc.
Then came the internet and all of it became online, allowing people to access libraries of music rather than staying limited to those offline available tracks.
However, the evolution did not stop here as there are so many advanced technologies that are being used to upgrade a user’s experience.
One such technology is artificial intelligence (AI) in music streaming. AI is one of the most popular technologies used in almost every sector.
If we talk specifically about music streaming apps, AI is being used to enhance personalization for users. How?
That is what I am going to talk about in this blog post. So, let’s begin!
AI in Music Streaming Apps: How it Works?
One of the key reasons why music streaming apps have gained popularity over the years is that they offer a personalized experience to a user. These apps tend to understand user preferences and accordingly offer music to listen to.
Personalization and AI go hand in hand as not only does AI understand the usage pattern, but it also automates the entire music delivery process.
In a music streaming application that is powered by AI, dedicated algorithms are set in place that notice the user’s preferences and search for similar tracks to recommend. This helps the app enhance engagement and user retention.
Personalization is certainly at the forefront of AI implementation in music streaming apps. That is because a user who is listening to music while exercising or driving might not be able to manually play a track they like.
However, when there is an algorithm working to enhance personalization the music streaming app automatically plays the next song based on the genre or the artist that the user was listening to.
This not only makes it easier for the user to enjoy their favorite music but also keeps the user interested in listening without any hindrances.
If you own a music streaming app or plan to build one, you should reach out to a music app development company and understand if you should go for AI or not as they can guide you better.
Ways AI Personalizes Music Streaming Experience
To give you more clarity on how personalization and AI work in music streaming for a user, here are some of the core methods that AI implies to personalize your music listening experience –
Listening Habit Analysis
AI algorithms that are implemented in a music streaming app are designed to analyse a user’s listening habits. It accounts for different things such as what hour of the day a user usually listens to music, what playlists they listen to, and which tracks they deliberately play or add to their playlists.
This analysis helps the app identify the type of music a person listens to, leading to a personalized in-app experience.
Contextual Learning
With your smartphone having access to your location, connected devices, and other factors the AI implemented in your music streaming application breaks down all this data to analyze the context of music that is played.
For instance, if you are using a car stereo to play music it might recommend a different set of songs, than what it would if you are using a connected earphone. The context adds a lot of insights allowing the app to personalize the experience as much as possible.
Reading User Interactions
Today music streaming apps allow you to interact with the songs you listen to. You can like, dislike, skip, or repeat a song. The algorithm changes its personalized recommendations based on how you use these interactions.
If you have disliked a song, similar songs are less likely to reach your playlist unless you manually search and play it. User interactions play the most crucial role as when you are new to a music streaming app it is the way you use it or interact with it will determine how your algorithm works.
Tracing Searches & Queries
The music you look for on a music streaming app can also affect your experience on the app. Your searches are considered your preferences thanks to the ever-evolving algorithm powered by AI.
Some apps that offer functionalities such as comments and help centers in the music streaming app also trace the queries that you have generated in the comments and support section to personalize your experience.
All these factors help AI to create a super personalized experience that contributes to enhanced music listening. While these AI improvements are awesome, you need to understand that they are not easy to implement and manage.
Some of the biggest names in music streaming apps always have an experienced app development company on hand for maintenance services. This ensures that the app runs seamlessly and helps keep music streaming app development cost under control.
AI & Personalization in Music Streaming Apps: What’s Next?
Knowing how AI has taken over the music streaming experience, it is definitely exciting to see what time holds for the future. We can definitely expect AI to simplify how streaming apps segregate regularly chosen songs from randomly searched playlists/tracks.
AI is all set to take over how things work and since it is tech, it will definitely evolve and completely change the way you interact with streaming services.
Hope this post answers a few of your queries related to personalization and AI in music streaming apps and how it is carving the future of music streaming. Thanks for reading, good luck!
