Something like this: The value of the dependent variable is a number between 0 and 1, and in this case, that value represents the probability a song has to belong to my playlist, or hers — if the value is less than some threshold X, the song belongs to me otherwise it belongs to her. This SWOT analysis has highlighted that Spotify has realised massive revenue thanks to the spread-ability of its services, however there are growing operating costs to facilitate this growth. (Public Domain Image) Spotify Technology S.A. grows as a major music streaming service provider. Feature wise Of all the existing machine learning models, I used one called logistic regression. 4. Investing involves risk and investments may lose value. We can analyse Spotify using a SWOT analysis to better understand it's current market position which Berry describes these key factors as an "organized list of your business’s greatest strengths, weaknesses, opportunities, and threats." Spotify’s Competitors 1. Spotify is one of the biggest streaming platforms used around the world. Contains 1,000,000 playlists Its global subscriber number skyrocketed from 18 million to 124 million (588% increase) in the same time period. Musicscape generates a minimalistic landscape based on your recent Spotify activity. His favorite stocks today are Netflix, Google, Amazon, and Apple as they are the market leaders in their sectors and are safe long-term investments. Amazon, the nearly trillion-dollar e-commerce giant, revealed earlier this year that its music streaming service, Amazon Music Unlimited, has 55 million subscribers. Contest #2: Spotify Analysis Spotify Music Analytics Competition Participants connected to a dataset containing over 160,000 songs! At Spotify, we promise to treat your data with respect and will not share your information with any third party. Find a summary of my analysis in this blogpost: Objective This led me to try to answer two questions using data from Spotify: Fortunately for the Swedish streaming giant, its subscriber base is significantly higher than Apple (NASDAQ: AAPL) Music’s total of 60 million or Amazon (NASDAQ: AMZN) Music’s 55 million subscribers. “MyWallSt“, “Brilliant Investing Made Easy” and “Tap To Invest” are registered trademarks of MyWallSt. This streaming service differentiates itself from the competition by focusing more on the social aspects of the music-listening experience like syncing short video clips to songs, sharing playlists, and commenting on individual tracks. Sort Your Music Sort your Spotify playlists by any of a wide range of musical attributes such as tempo, loudness, valence, energy, danceability, popularity and more. Playback Bring music from Spotify … Spotify Audio Analysis Get a fascinating visual insight into any track. Tune your discovery by different audio features. Get the data: Navigate to https://spotifycharts.com/regional to download data from Spotify’s Top Charts. You can see each section, bar, beat, segment, and tatum on a timeline, skip to each timestamp, and see the pitch and timbre vectors for the current segment. Listen to Chin Music on Spotify. For those of you who have no idea at all about what machine learning is, I will give a really simple explanation that is basically a copy/paste from another job of mine. Learn more about the audio properties of your favourite tracks, including detailed rhythmic information. The first plot shows that the prevalent feature of my playlist is instrumentalness, and the second plot, which represents her playlist, shows that danceability is hers. – Spotifys music library is limited by artists taking down their catalogues. MyWallSt is a publisher and a technology platform, not a registered broker-dealer or registered investment adviser, and does not provide investment advice. I used the Spotipy API for this analysis. MyWallSt operates a full disclosure policy. Moreover, to make the problem more interesting, I compared each of these three characteristics against my friend’s songs. Fortunately for the Swedish streaming giant, its subscriber base is significantly higher than Apple (NASDAQ: AAPL) Music’s total of 60 million or Amazon (NASDAQ: AMZN) Music’s 55 million subscribers. Login with your Spotify Weaknesses Here are the weaknesses in the Spotify SWOT Analysis: 1. The accuracy of the model was 82%, which is pretty good. Decimal pitches Sparkline as the “missing analytics tool for Spotify” – a bold claim hinging on its ability to allow users to get insight into third parties on the streaming platform. We hope this tool will help you find more suitable playlists for your music and better understand the streaming For this project, the music streaming service Spotify gave me data on how frequently every song is listened to by men and women of each particular … The winning report authors receive: Free month off of your BI Elite Training subscription. Your home for data science. A SWOT analysis of Spotify Technology S.A. illustrates competition, criticism, and imitation as threats that combine with the company’s weaknesses to impose strategic challenges to growing in the music streaming industry. Furthermore Spotify Face The Music Case Solution & Analysis it allows the stakeholders to see the other options if the given set of alternative does not work, thus saving the time, effort and the working from scratch, hence making it This is certainly an incentive for existing members to sign up over the other services. See the workflow of web-based Spotify visualizers below. ‘alpha’: (0.001, 0.0001, 0.00001, 0.000001). Brokerage services are provided to clients of MyWallSt by DriveWealth LLC, an SEC registered broker-dealer and member FINRA/SIPC. The landscape changes depending on if you listen to happy or sad songs, energetic or calm ones, if you’ve been a recent active listener and other track features. According to the official documentation “. This includes the Python script used to obtain the data, and to train the machine learning model, and the R script used for the analysis. As a long-time music fan and early adopter, I use Spotify probably since day-one by religiously saving interesting songs to my Favorites playlist. Lastly, I trained a machine learning model with the purpose of predicting if a song would be more suitable for my playlist or hers. Contribute to ivailop7/Spotify-Music-Analysis development by creating an account on GitHub. Is The Nasdaq A Safer Investment Than The Dow? An interactive way to learn about your favourite songs on Spotify. Skip to content. A lot of Spotify’s strengths revolve around the new industry standard it has created. It often happens when we scrobble music from the other sources than spotify. Select Top 200 or Viral 50 depending on the purpose of your analysis—to see top tracks or trending tracks. You can use our free playlist analyzer to quickly find some helpful statistics and information about any Spotify playlist. The following plot illustrate this. So, after seeing these results, we can all agree that the answer to the question “is my playlist instrumental?” is a definitive yes. However, how big is the difference between these values? The last objective of this experiment was to investigate if it is possible to predict if a song belongs to my playlist or hers using machine learning. Of the top streaming services, Amazon has seen the most rapid growth in subscription numbers, surging approximately 70% from 2018 to 2019. An advantage that Apple has over Spotify is its seamless integration with Siri, Apple’s digital assistant, and its ability to mix personal music files with streaming ones. The closer it is to 1.0, the more instrumental the song is. The data of the music was obtained using a Python script I wrote that fetches all the playlists of a user, and all the songs of a particular playlist. Spotify, with Echo Nest, a music data analysis platform acquired in 2014, makes information of each song accessible through the Spotify API. By signing up, you will create a Medium account if you don’t already have one. Launched in 2016, the company introduced its free ad-supported tier in 2019. Spotify is available on modern devices and smartphones. Spotify is a digital music service that gives you access to millions of songs. On the lead up to other services being launched and made better competitors, i’ve decided to do a SWOT Analysis on their business as it is now, and see where they could go from now to make themselves still high in the ranks. The model parameters alpha, and number of iterations, were obtained using grid search and cross-validation. In fact, Amazon offers a $4-per-month subscription for an Echo plan, limited to streaming only on one device. And according to it, the lowest the score is, the more boring the song is, and the highest the score, the more fun it is. The principal tool used in this project is the audio features component of the Spotify API service. However, her comment gave me a nice idea: let’s check what the data says about this. No credit card needed. The reason why I chose these is because at a party I would like to have loud music, with a nice tempo that brings out the energy in me (and the others), to get in the mood for dancing. Is Coronavirus Boosting Netflix’s Subscriber Growth? 2014: Spotify acquires Echo Nest, a music intelligence firm; 1.5 billion user-generated playlists at Spotify’s disposal; 400,000 user-generated barbecue playlists. grid_search = GridSearchCV(SGDClassifier(), parameters, n_jobs=-1, https://github.com/juandes/spotify-audio-features-data-experiment, https://developer.spotify.com/web-api/get-audio-features/, 15 Habits I Stole from Highly Effective Data Scientists, 7 Useful Tricks for Python Regex You Should Know, 7 Must-Know Data Wrangling Operations with Python Pandas, Getting to know probability distributions, Ten Advanced SQL Concepts You Should Know for Data Science Interviews, 6 Machine Learning Certificates to Pursue in 2021, Why we need more AI Product Owners, not Data Scientists. Read our full disclosure policy here. – Artists get quite a low revenue from spotify, because of their free service. A high standard deviation says that the scores of the audio features of my songs are not that similar, meaning that for example, I could have many songs where the instrumentalness value is really high, while also having songs where the same value is really low. Spotify’s selection algorithm used mobile machine-learning, artificial intelligence, and data sifting technology to recommend new artists and tracks based on your past listening history, gaining valuable insights into … Sparkline is a new platform developed by technology consultancy company Decimal, who mainly work with music clients on development projects. Said system should be able to determine if a new array of audio features is for a song that would be more likely to appear in my playlist or hers. (Berry, 2014) The online music marketplace will be analysed as Spotify might do with SWOT as a common strategic tool. The icing on the cake is that the music streaming industry’s future looks very bright with its revenue forecasted to grow to $15.5 billion by 2024 from its current $11.5 billion; and Spotify is in an … the owner of the playlist, me or her). Instead, I’ll just say that it is a mathematical equation in which the target variable, called the dependent variable, or the thing we want to predict (in this case that is the owner of the playlist), depends on one or several independent variables (the audio features), plus some magic. Out of several training and testing sections, the average accuracy was 82%, in other words 8 out of 10 times the model was able to predict to whose playlist the song belongs. It’s quite likely that get_spotify_uris function returns less information than input data. The best configuration found is the following: The following snippet (Python) is the code used for training the model. Here are the plots. David is a contributing writer to MyWallSt. The prediction of the first song, called A Better Beginning from the videogame Mass Effect Andromeda, was “me”, while the second song, Love On The Brain, by Rihanna was “her”. We and our partners use cookies to personalize your experience, to show you ads based on your interests, and for measurement and analytics purposes. Once I had the basic information of the songs, including their Spotify ID, I was able to get the audio features of them using the same script. By using the audio features API component of Spotify, I was able to find out that, just like my friend said, my playlist is varied, full of instrumental music, and somehow boring. We may soon begin to hear about Spotify-created podcasts which will increase profit margins as there is no need to split revenues with external partners. Thus we can conclude that according to my own equation, my playlist is more boring than hers, and that I would hate to hear my own music at a party. Additionally in 2018, the company settled a $1.6 billion lawsuit filed by Wixen Music Publishing relating to missing mechanical licenses for the company’s content. I laughed at that comment because it is not the first time I have heard that. You can use our free playlist analyzer to quickly find some helpful statistics and information about any Spotify playlist. This dataset contained numerous categories and features to visualize with data points over the last 100 years. https://juandes.com, @jdiossantos. Like Spotify, Apple Music features stacks of playlists including time sensitive suggestions. Decimal pitches Sparkline as the “missing analytics tool for Spotify” – a bold claim hinging on its ability to allow users to get insight into third parties on the streaming platform. This music genre finder tool gives you the song information that you were looking for and more, like: song genre tags, track analysis Aw, It looks like you are using an AdBlocker? Free version does not allow offline music so internet is required all the time 3. Apple launched its music streaming service on June 30, 2015. In [1]: import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. To complement this histogram, the mean value of the boringness was computed, and the values are 201.735 for me, and 233.284 for her. Spotify Audio Analysis. For example, a Cooking Dinner playlist will pop … Four years later, Spotify announced 40 million paid subscribers and 100 million total users, cementing streaming as the new mode of global music consumption in the music industry. © 2021 MyWallSt Ltd. All rights reserved. Spotify is all the music you’ll ever need. Then a game of f***, marry, kill comes along with some of your favourite artists. For the sake of keeping this article simple and friendly, I won’t explain how logistic regression works. Instrumentalness: This value represents the amount of vocals in the song. So, I investigated each of these three attributes, to test if she is right or not. Categories Music Industry News & In-Depth Analysis Get your free trial now! on Spotify Competitors: 3 Threats to its Streaming Empire, 3 Important Investment Hacks You Can Learn From Nancy Zevenbergen. Data storyteller. GET SPOTIFY FREE. The image above is a histogram, and it shows how the boringness score is distributed among each dataset. Usage of Characteristics in Music Over Time.