Key Takeaways
1. Spotify's Rise Was Fueled by Piracy and Ad-Tech, Not a Love for Music
Every time I hear the story of Spotify, it’s this dressed up version. And the record labels want to have that dressed up version, too, because they are storytellers more than anything else. If you start looking at Spotify as an advertising company rather than a culture company, a lot of things make more sense.
Origins in Swedish Piracy. Spotify emerged from the Swedish file-sharing scene of the early 2000s, a period marked by widespread digital piracy. The company's founders, Daniel Ek and Martin Lorentzon, were advertising industry men who saw an opportunity to capitalize on the music industry's weakened state due to piracy, rather than a genuine desire to "save" music.
Ad-Tech Roots. Spotify's initial business model was heavily reliant on advertising revenue, with music serving as a traffic source for its advertising product. The founders' expertise in search engine optimization, metadata, and selling ads played a crucial role in the company's early success. This focus on advertising, rather than a deep appreciation for music, shaped Spotify's approach to the industry.
Exploiting a Weakened Industry. The major labels, desperate for a solution to declining CD sales and rampant piracy, were initially reluctant to license their music to Spotify. However, the company's well-connected consultants, bottomless funding, and the industry's eagerness for a "solution" to piracy ultimately paved the way for Spotify's licensing deals. This opportunistic approach, rather than a genuine love for music, fueled Spotify's rise to dominance.
2. Spotify "Saved" the Music Industry for Major Labels, Not Musicians
This is all to say, the very concept of music streaming was designed for the benefit of extremely popular, major label music. But independent musicians have also been expected to conform to its one-size-fits-all model.
Designed for Major Labels. The very concept of music streaming, including Spotify's business model, was designed to benefit major labels. These labels secured equity, advances, free advertising, and influence over the platform's evolution in their initial deals with Spotify. This put independent musicians at a disadvantage from the start.
Indie Music's Historical Independence. Independent music has historically maintained its own economies, with its own retail outlets, promotional ecosystems, and dedicated fanbases willing to pay for records and downloads. However, independent musicians have been expected to conform to streaming's one-size-fits-all model, which flattens the playing field between pop stars and working artists.
Merlin's Role. Independent labels were largely brought into the streaming ecosystem through the Merlin Network, an organization that negotiated licensing deals on their behalf. While Merlin secured equity for its members, some independent labels struggled to muster the same excitement, as they were still feeling the hit from piracy and were looking for whatever life raft they could find. This highlights the complex and often contradictory position of independent music within the streaming landscape.
3. Lean-Back Listening and Mood-Based Playlists Devalued Music
The goal is to hook us as users, of course, but also to divert overall streamshare toward discounted offerings—works that have been licensed to Spotify at a lower price point, both through its ghost artists program and its algorithmic payola-like practices.
Strategic Shift to Passivity. Spotify realized that a significant portion of its users engaged in "lean-back listening," using music as a background experience rather than actively seeking out specific artists or albums. This led to a strategic shift towards optimizing for this less engaged user, making music consumption even more seamless.
"Music for Every Moment." Spotify rebranded itself with the slogan "Music for every moment," organizing playlists by context and mood. This transformed music into a utility, a commodity to be consumed passively rather than an art form to be appreciated actively. This shift devalued music and contributed to the expectation that it should be available for a low price.
The Rise of Functional Music. The focus on lean-back listening led to the rise of "functional music," such as sleep playlists and study beats. These playlists, often filled with generic tracks, further devalued music by reducing it to background noise. This created a situation where the most successful music was often the most inoffensive, designed to fill the air rather than engage the listener.
4. The Conquest of Chill: How Spotify Normalized Passivity and Sameness
You’re boxing people into a context and saying, we’re only going to let you know this much, so you want this, based on what we’re allowing you to know. If we gave people more context and awareness, then what they want would change.
Emotional Streambait. Organizing music by mood is a way to transform it into a new type of media product, selling users not just on moods, but on the promise of mood stabilization. This tactic lures users to double click and start streaming, creating "streambait" to keep the data-generating wheels turning.
Edison's "Mood Music." The idea of using music to manipulate emotions is not new. In 1921, Thomas Edison's company published "Mood Music," a guide that prescribed specific records for different moods. This demonstrates a long history of commercial interests attempting to control listeners' emotions through music.
The Ambiguity of "Chill." The term "chill" has become ubiquitous in streaming, but its meaning is often ambiguous. It can refer to easy listening, ambient soundscapes, or lighter takes on various genres. This ambiguity allows for the commodification of a wide range of music under a single, marketable label.
5. Ghost Artists and Perfect Fit Content Cheapened Music and Deceived Listeners
There were a lot of tears over this project internally at Spotify.
The Perfect Fit Content (PFC) Program. To lower royalty costs, Spotify developed a scheme to populate mood playlists with low-budget filler tracks, licensed under special, cheaper deal terms. These tracks were often made by anonymous session musicians, creating a "ghost artist" ecosystem.
Replacing Real Artists. The PFC program involved replacing tracks by established artists with these cheaper, generic alternatives. This not only reduced royalty payments but also devalued the work of legitimate musicians.
Lack of Transparency. Spotify went to great lengths to hide the PFC program, creating fake artist bios and downplaying its relationships with production music companies. This lack of transparency deceived listeners and further eroded trust in the platform.
6. Spotify's Data-Driven System Prioritizes Engagement Over Artistry
We call ourselves, on the curation team, the elected officials of the Spotify user base.
Data-Driven Curation. Spotify's playlist curation strategy is heavily influenced by data, such as plays, skips, saves, and demographic information. This creates a system where songs live or die based on their ability to generate streams, rather than their artistic merit.
The "Syndicate" Model. Spotify's playlist strategy is based on a broadcast model called the "Syndicate," which includes flagship playlists and smaller "feeder" playlists. This system tests new songs on smaller playlists and "graduates" them up based on data, creating a data-driven ladder climb.
The Illusion of Democracy. Spotify claims that its data-driven system is democratic, reflecting the will of the people. However, success is also influenced by contracts, connections, and streaming-friendly music. This creates a system where the biggest labels and most commercially viable artists are disproportionately rewarded.
7. Streaming as Surveillance: Spotify's Data Collection and its Ethical Implications
Our only competitor is silence.
Extensive Data Collection. Spotify collects an outrageous amount of data on its users, tracking every click, search, and listening habit. This data is used to power its recommendation algorithms and targeted advertisements.
Emotion Profiling and Pseudoscience. Spotify has explored emotion detection technology, aiming to analyze users' voices and facial expressions to better understand their moods. This raises serious ethical concerns about privacy, profiling, and the potential for manipulation.
Data Sharing with Third Parties. Spotify shares user data with data brokers and advertising partners, creating detailed profiles that can be used for various purposes, including job selection, background checks, and political micro-targeting. This raises concerns about the potential for discrimination and abuse.
8. The Illusion of Choice: How Spotify Controls the Listening Experience
We are not gatekeepers.
Shaping User Behavior. Spotify's goal is to shape user behavior on the platform, influencing listening habits to benefit the company's financial goals. This involves diverting streamshare towards discounted offerings and works licensed at a lower price point.
Algorithmic Homogenization. Spotify's algorithms can lead to algorithmic homogenization, discouraging adventurous listening and watering down musical relationships. This creates a self-fulfilling cycle where users are primarily exposed to music that is already popular or commercially viable.
The Devaluation of Music. By relegating music to a background accent for everyday activities, Spotify contributes to a cultural devaluation of music. This makes it easier to believe that music deserves little financial remuneration.
9. The New Music Labor Movement: Artists Organizing for Fair Pay and Transparency
It’s just so fucking soulless.
The United Musicians and Allied Workers (UMAW). UMAW is a grassroots organization fighting for fair pay and transparency in the music industry. The group has launched campaigns targeting Spotify and other streaming services, demanding better royalty rates and more equitable treatment for artists.
The Living Wage for Musicians Act. UMAW has worked with lawmakers to draft the Living Wage for Musicians Act, which aims to create a new royalty stream that would bypass existing contracts and go directly to artists. This legislation represents a significant step towards addressing the systemic issues plaguing the streaming economy.
The Importance of Collective Action. UMAW's efforts highlight the importance of collective action in the music industry. By organizing and advocating for their rights, musicians can challenge the power of streaming services and create a more sustainable future for themselves.
10. The Path Forward: Building a More Equitable and Sustainable Music Ecosystem
We never claimed to have the definite solution…. But we also tried to turn it around and say that strict enforcement of copyright law also does not solve the problem.
Beyond Technological Solutions. The problems facing musicians are not solely technological; they are problems of power and labor. Therefore, solutions must address the underlying economic and political structures that perpetuate inequality.
Supporting Independent Music. Buying music directly from artists and independent record labels is a crucial step towards creating a more sustainable music ecosystem. This supports artists and helps to preserve diverse musical traditions.
Public Funding and Alternative Models. Public funding for the arts, cooperatives, and unions are all essential components of a more equitable music landscape. These models prioritize community ownership, democratic governance, and artistic expression over corporate profits.
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FAQ
What is Mood Machine: The Rise of Spotify and the Costs of the Perfect Playlist by Liz Pelly about?
- Comprehensive critique of streaming: The book explores how Spotify transformed the music industry, focusing on its rise, business model, and the consequences for artists and listeners.
- Economic and cultural analysis: Liz Pelly examines the costs of streaming, including pay-to-play schemes, algorithmic curation, and the flattening of musical diversity.
- Broader societal implications: The narrative connects Spotify’s story to trends in digital capitalism, media consolidation, and the commodification of music as content.
Why should I read Mood Machine by Liz Pelly?
- Demystifies streaming platforms: The book offers transparency about how Spotify operates, revealing the realities faced by independent artists and listeners.
- Insight into industry shifts: It provides a detailed history of the music industry’s transition from piracy to streaming, highlighting power dynamics between labels, tech companies, and artists.
- Cultural impact awareness: Readers gain a nuanced perspective on how streaming affects listening habits, music production, and the future of creative labor.
What are the key takeaways and warnings from Mood Machine by Liz Pelly?
- Double-edged impact of streaming: While Spotify democratized access to music, it entrenched major label power and commodified art for engagement.
- Algorithmic control and opacity: Curated and personalized playlists shape listening habits, often steering users toward more profitable, less diverse content.
- Call for critical engagement: Pelly urges readers to examine the streaming ecosystem and advocate for fairer, more transparent systems that value music as art.
How did Spotify originate and what were the founders’ intentions according to Mood Machine?
- Tech-driven origins: Founders Daniel Ek and Martin Lorentzon came from advertising and tech, not music, focusing initially on streaming technology and advertising.
- Piracy context in Sweden: Spotify emerged as a response to rampant file-sharing, aiming to offer a better user experience than piracy.
- Business-first approach: Early Spotify was designed as a freemium service, negotiating deals with major labels for equity and advances, prioritizing advertising revenue over a cultural mission.
How did Spotify rise to dominate the music streaming industry according to Liz Pelly?
- Strategic licensing deals: Spotify secured agreements with major labels and independent distributors, positioning itself as a legal alternative to piracy.
- User experience innovation: The platform emphasized frictionless, lean-back listening with personalized playlists like "Discover Weekly."
- Political and cultural lobbying: Spotify invested in lobbying and high-profile partnerships to gain legitimacy and maintain dominance.
What is the “perfect playlist” concept and how does Spotify implement it, according to Mood Machine?
- Lean-back listening focus: Spotify shifted from search to curated playlists themed around moods and moments, targeting passive listeners.
- Editorial and algorithmic curation: In-house editors and machine learning algorithms create and personalize playlists, optimizing for engagement.
- Data-driven gatekeeping: Metrics like skip and completion rates determine which songs are promoted, favoring major label acts and homogenizing diversity.
What are “ghost artists” or “perfect fit content” (PFC) in Spotify’s playlists, as described by Liz Pelly?
- Anonymous stock music: Ghost artists are session musicians producing generic tracks for mood playlists, licensed at discounted rates.
- Cost-saving strategy: PFC populates high-follower playlists with cheaper content, often unnoticed by passive listeners, reducing royalty costs.
- Cultural and economic impact: The rise of ghost artists undermines real musicians’ livelihoods and contributes to the commodification of music.
How has Spotify’s playlist culture affected independent artists and music diversity, according to Mood Machine?
- Homogenization of sound: Independent artists are pressured to create streaming-friendly, mellow music, leading to a loss of complexity and risk-taking.
- Opaque playlist pitching: Indie artists face complex systems for playlist placement, with limited access compared to major label acts.
- Shift in artistic priorities: The playlist ecosystem encourages optimizing for streams over artistic expression, challenging the sustainability of diverse music scenes.
How does Mood Machine by Liz Pelly describe the role of algorithms and personalization in Spotify’s music discovery?
- Extensive data collection: Spotify uses machine learning and user data to personalize recommendations through features like “Discover Weekly.”
- Mood and genre tagging: Metadata and acoustic analysis classify music by mood and genre, shaping user recommendations and creating microgenres.
- Engagement optimization: Algorithms prioritize content that extends listening sessions, reinforcing existing tastes and limiting exposure to new music.
What is “functional music” or “perfect fit content” (PFC) and why is it significant in Mood Machine?
- Definition and purpose: Functional music refers to background or mood music designed for specific activities or emotional states, like sleep or focus.
- Industry exploitation: Streaming platforms and labels use PFC to generate endless streams with minimal engagement, maximizing revenue while devaluing artistry.
- AI and stock music: Companies like Endel and Epidemic Sound produce AI-generated or stock music for these playlists, raising questions about creativity and fair compensation.
How does Mood Machine by Liz Pelly critique Spotify’s business and royalty payment models?
- Opaque royalty system: Spotify’s pro rata revenue share pays rights-holders, not artists directly, often resulting in minuscule earnings for musicians.
- Artist disempowerment: Non-disclosure agreements and lack of transparency keep artists in the dark about their compensation.
- Payola-like practices: Programs like Discovery Mode require artists to accept lower royalties for promotion, reinforcing inequities and pressuring independents.
What alternatives and solutions does Liz Pelly propose in Mood Machine for a fairer music ecosystem?
- Music labor organizing: Groups like United Musicians and Allied Workers (UMAW) advocate for fair pay, transparency, and unionization.
- Cooperatives and collectives: Artist-run models like Catalytic Sound offer shared ownership and equitable revenue distribution.
- Public funding and libraries: Proposals include public funding for artists and community-driven streaming projects through libraries, emphasizing local context and cultural preservation.
Review Summary
Mood Machine by Liz Pelly is a critical examination of Spotify's impact on the music industry. Readers praise its thorough research and eye-opening revelations about algorithmic playlists, ghost artists, and data surveillance. Many found it informative but disturbing, highlighting how Spotify prioritizes profits over artists and authentic music discovery. Some criticize the book's length and repetitiveness, while others appreciate its call for change in the streaming industry. Overall, it's seen as an important read for music enthusiasts and industry professionals, despite mixed opinions on its delivery.
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