Your Music, Your Money
Last updated 9/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 658.76 MB | Duration: 2h 27m
Understand The Economics Of The Streaming Market + ChatGPT Special
What you’ll learn
Understand how the music streaming market works, including key players, platforms, and revenue flows.
Learn how royalty payouts are calculated and what influences how much artists earn from streaming.
Explore bifurcation theory and how competition between platforms and creators shapes the industry.
Understand the "Winner Takes All" dynamic and the Matthew Effect, and how they impact visibility and income for artists.
Examine the role of algorithms and playlists in music discovery, and how they influence what gets heard.
Discover the challenges and opportunities of working with AI in music production, and how to maintain creative control.
Understand how AI-generated content and fraudulent practices affect the market and artist payouts.
Explore new and innovative ideas-such as alternative payment models-that aim to create a fairer and more sustainable future for musicians.
Requirements
Basic understanding of the music industry
Familiarity with music streaming services
Active interest in music business and artist development
Description
Making Sense of Music Streaming – How the Market Works and What It Means for ArtistsStreaming has become the main way people listen to music-but for many artists, it can feel like a confusing system that doesn’t always seem fair. Why are streaming payouts low for some artists and high for others? How does the money actually flow? And what can artists do to make the most of it?This course is designed to help musicians understand how the streaming economy really works. You’ll learn where the money goes, how competition affects your visibility, and why certain artists earn more than others. We’ll look at the role of playlists, algorithms, and AI-generated music-and how fraud and artificial streams can impact your income.You’ll learn how to work with AI for composing music while keeping full creative control over your sound and artistic vision.We’ll also explore the different payment models used by platforms like Spotify, Deezer, and SoundCloud, and examine new ideas that could lead to a fairer system. You’ll come away with a clear picture of the challenges in streaming, what’s being done to fix them, and what you can do to build a more sustainable music career in today’s digital world.No economics degree needed-just curiosity, and a passion for music.I’m happy to welcome you and can’t wait to go on this journey with you!
Overview
Section 1: Economic challenges of the streaming market
Lecture 1 Course Introduction
Lecture 2 Introduction
Lecture 3 Economic Challenges – Overview
Lecture 4 Economic Challenges – British Artists
Lecture 5 Economic Challenges – Studios & Venues
Lecture 6 Economic Challenges of Streaming Providers
Lecture 7 Global Revenues
Lecture 8 Spotify’s Revenue
Lecture 9 US Streaming Revenue
Lecture 10 Artist’s Income – Average Income
Lecture 11 Artist’s Income – Types of Income Streams
Lecture 12 Artist’s Income – Professional Artists
Lecture 13 Artist’s Income – Income Distribution
Lecture 14 Key Takeways
Section 2: Market structure, growth and inflation
Lecture 15 Introduction
Lecture 16 Oligopolistic Market
Lecture 17 Streaming Market
Lecture 18 Inflation
Lecture 19 Global Growth
Lecture 20 Ad-Supported Streaming
Lecture 21 Spotify’s Discovery Mode
Lecture 22 Case Study: Napster vs RIAA
Lecture 23 Key Takeways
Section 3: Superstar Economics
Lecture 24 Introduction
Lecture 25 Global Competition & Oversaturation
Lecture 26 Winner Takes All Market
Lecture 27 Winner Takes All Market II
Lecture 28 Matthew Effect
Lecture 29 Long Tail Effect
Lecture 30 Royalty Dilution
Lecture 31 Competition
Lecture 32 Creators
Lecture 33 Bifurcation Theory
Lecture 34 Bifurcation Theory II
Lecture 35 Insights & Forecasts
Lecture 36 Idea: Deep Integration
Lecture 37 Idea: New Platform
Lecture 38 Key Takeways
Section 4: AI, playlists and payment models
Lecture 39 Introduction
Lecture 40 Algorithms
Lecture 41 Playlists
Lecture 42 Demographic Bias
Lecture 43 Popularity Bias
Lecture 44 Opportunities of AI
Lecture 45 ChatGPT and Composition
Lecture 46 Challenges of AI
Lecture 47 Bad Actor’s Tools
Lecture 48 Case Study: UMG vs TikTok
Lecture 49 Key Takeaways
Section 5: Section 5
Lecture 50 Introduction
Lecture 51 Payment models: Pro-Rata
Lecture 52 Effects of payment models on royalty payouts
Lecture 53 Payment models: User-centric
Lecture 54 User-centric model: Pro & contra
Lecture 55 User-centric model and effects on royalty payouts
Lecture 56 Payment models: Artist-Centric
Lecture 57 Payment models: Artist growth model
Lecture 58 Case Study: Prince vs Warner
Lecture 59 Key Takeways
Lecture 60 Thank You!
Professional musicians / artists,Music industry professionals,Music labels
Pluralsight – Zero Trust Network Security By owen-dubiel (176.02 MB)
️ 
(1.3 GB)
