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Show your musical taste with data: The best analytics tools for Spotify

by Eray Eliaçık
August 15, 2022
in BI & Analytics, Data Science
Home Topics Data Science BI & Analytics
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Spotify analytics for listeners is how the popular streaming service also captures the hearts of its users. Many websites allow you to check these analytics if you have ever wanted to delve deeper into your listening habits — maybe to see which songs you listen to the most or compare your preferences with others. These sites range from academic to comical, but they’ll all assist in illuminating your music appreciation in a new light. Spotify analytics for listeners is also a good example of machine learning benefits. These websites use ML and AI for analysis. Additionally, did you know Spotify is using deep learning to recommend songs you’ll love?

Table of Contents

  • Spotify analytics for listeners
    • Spotify Wrapped
    • Stats for Spotify
    • Obscurify
    • Skiley 
    • Spotify Charts
    • Discover Quickly
    • MusicScape
    • Visualify
    • Last.fm
    • Run BPM
  • Spotify Stats: Funny side is there too
    • Receiptify 
    • Zodiac Affinity
    • How Bad Is Your Spotify
  • Conclusion

Spotify analytics for listeners

Are you curious about your Spotify listening habits? Do you want to know how popular or obscure your music taste is, or do you need some help organizing your playlists by finding useful information about the music you listen to?

You may accomplish a lot more with some fantastic websites and applications that have been created, especially to give you a thorough look at your Spotify listening habits.

These are some of the best Spotify analytics for listeners:


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  • Spotify Wrapped
  • Stats for Spotify
  • Obscurify
  • Skiley 
  • Spotify Charts
  • Discover Quickly
  • MusicScape
  • Visualify
  • Last.fm
  • Run BPM

However, there is a catch. To access Spotify data, each website requires you to log in to your Spotify account and grant permission. So, if that’s not something you’re comfortable with, you might want to skip it.

You may remove access to any third-party app or site you’ve allowed by going to your Spotify app settings and removing the Remove Access option beside each application or site on the Apps page.

If you’re fine with it, let’s look at the top Spotify analytics for listeners’ services.

Show your musical taste with data: The best analytics tools for Spotify
Spotify analytics for listeners

Spotify Wrapped

Let’s start with the most well-known and official example.

Spotify annually releases Spotify Wrapped, a slideshow in which you may view who your favorite musicians, songs, and genres were over the previous year. You also get a list of how long you spent listening to Spotify and a playlist containing your top 100 songs.

There’s nothing you need to plug into your Spotify account to discover this. When it debuts, the slideshow will show up in your Spotify app automatically, so you can see it and share it with all of your friends.

After a while, the Wrapped slideshows will be gone. However, you can locate any of your Wrapped playlists from years past by visiting the Spotify website and looking for these links:

  • Wrapped 2021
  • Wrapped 2020
  • Wrapped 2019
  • Wrapped 2018
  • Wrapped 2017

Stats for Spotify

Spotify’s most basic “stats” resource is probably Stats for Spotify. From your Spotify account, you may view your favorite artists, songs, and genres from the previous month, six months, or throughout your whole listening history.

You may also jump straight to the bottom of your Top Tracks list and discover a Create playlist button that instantly lets you put all the songs on that list into a playlist.

Obscurify

Obscurify compares your score to that of other users in your area and gives you a personalized list based on their popularity. It also provides a comprehensive top 10 and a ranked list of your favorite genres.

This excellent website can generate a playlist with your top songs and automatically add it to your library. This is a great aid when you’re running out of ideas.

Skiley 

Skiley is a handy web app that collects data about your listening habits, manages your playlist by artists, genre, beats per minute, or mood, and finds new tunes appropriate for your music taste. Moreover, it provides other helpful information such as song lyrics and translations.

Spotify Charts

If you’re looking for ideas on what to listen to next, go beyond your music library and check out Spotify Charts, a website that displays the most popular songs on the site.

You may look at the Top200 or the Viral50, allowing you to filter the results by region and time. You can also export the data as a CSV file. It’s useful!

It also has a feature that narrows down your top tunes regionally and globally, according to your current needs.

Discover Quickly

Quickly sorts your playlists, top songs, and top artists by various criteria, such as popularity and danceability. It also contains all of Spotify’s wacky specific genres, including deep metalcore, acid house, and charred death. If you choose a genre, it will create a playlist of music from that genre for you. You may also pick “random genre” to generate a playlist with songs from a random category.

Show your musical taste with data: The best analytics tools for Spotify
Spotify analytics for listeners: Discover Quickly

MusicScape

MusicScape creates a landscape based on your past listening habits. The landscape is created taking into account the mood, mode, energy, and key of your current song.

Visualify

Visualify displays your favorite tracks and musicians by month, year, and all-time in a visually attractive and easy-to-understand manner. You must first log into Spotify using your account information.

It is ideal for you if you don’t want to deal with the technical aspects of your data but still want an idea of how your music preferences changed over time.

Last.fm

When you link your Spotify profile to a Last.fm account, you may get access to useful information about your listening habits and compare them to those of thousands of other people.

You can browse through various music genres and moods to discover new bands. You may also check out certain geographical regions and nations to see which songs are the most popular.

Finally, Last.fm has a spiking list of the most popular songs right now that are trending as a tool to help you narrow down your search for the most popular ones at present.

Run BPM

Run BPM is a customizable website that uses your Spotify data to generate and filter your playlist. You can use the site even if you don’t have a Spotify account.

It uses energy levels, a happiness meter, danceability, and a BPM range to arrange your tracks. You may simply save your playlist and start a new one.

It has a user-friendly design and appealing aesthetics that permeate into its platform. It’s worth a look.

Spotify Stats: Funny side is there too

In our opinion, any kind of processing of data is fun, but these sites take it from a slightly more funny perspective.

Receiptify 

Receiptify is a software that prints out a “receipt” containing your top ten favorite tracks, as determined by the program. You may have it list your current favorite songs from the previous month, six months, or all time.

Show your musical taste with data: The best analytics tools for Spotify
Spotify analytics for listeners: Receiptify

It’s a simple gimmick, but it’s perfect for sharing on social media quickly.

Zodiac Affinity

If you’re a lover of astrology, you’ll like Zodiac Affinity. It determines which five of your preferred songs are compatible with various star signs, and we have no idea what the rules are here.

How Bad Is Your Spotify

For its AI’s sassy demeanor and searing hot takes, the “How Bad Is Your Spotify” challenge went viral in 2020. The site sniffs through your favorite artists and songs, asks you a few questions, and then tortures you with merciless taunts. It might become extremely filthy.

How Bad Is Your Spotify will identify a category you match into, regardless of how strange your preferences are. Just don’t take it to heart — it’s just a machine.

Conclusion

In the contemporary age, streaming music services such as Spotify have become commonplace. They are more convenient than ever, and with Spotify playlists, users can quickly build a playlist of their favorite songs.

Several fantastic websites and applications are available to assist you in making the ideal playlist for any mood or occasion. Whether you want to analyze your listening habits, pick songs based on energy levels or BPM, or explore a visual music landscape, there is a platform that can help you.

Tags: AnalyticsDatadata analyticsMusicSpotifystatsStreaming

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