Please enable JavaScript.

Coggle requires JavaScript to display documents.

Spotify, G1 (IBS4 Cody, DFLL3 Keely, IBS3 Xelen, IPCM3 Vivian, IBS2 Emily)…

- - - - Offline listening
    - - Limited data plan
        
        Prefer download > using data continuously to listen music
  - - - Achieving seamless synergy between these different content types
- - - - Collaborative filtering
        
        Aim to describe the track in its connection with other tracks on the platform by studying user-generated assets
      - Content based filtering
        
        Aim to describe the track by examining the content itself
- - - - Payments that serve as compensation for using one's Intellectual Property (IP)
        
        Who gets paid for this:question:
        
        Composers
        
        Musicians
        
        Songwriters
      - Why royalty means that much to Spotify:question:
        
        52% of the revenue generated by each stream goes to record labels
        
        A legal alternative to pirated music & paid song purchases on iTunes
        
        Since 2006, Spotify has spent $10 billion in royalties
        
        Cost on royalties for premium users are higher than free users
  - - - Mobile app & Website
    - - Recommend 0.32 - 0.64 mbps based on music quality
  - - - Raise premium prices since 2023.07
        
        Premium Individual in US: $10.99 (NTD 340)
        
        Premium Individual in TW: NTD 149
    - - Laid off 17% of its workforce in 2023.12
- - - - Audio book
      - Artist merch store
      - Podcast
        
        Exclusive content
        
        Lower licensing fee
        
        Better gross margin
    - - Freemium
        
        Spotify Wrapped
        
        Jam
        
        Group playlist
  - - - Human editor
        
        Reinforcement Learning AI
        
        User's feedback, suggestion
        
        Dynamic learning, Evolve over time
        
        Avoid repetitive recommendation, increase diversity
        
        Experienced, Professional expertise
        
        Music trends, Cultural nuances
        
        Spotlighting new talented artist
      - New artist doesn't have user data
    - - Different music system can't be understood appropriately under mainstream algorithm
    - - Could be amplified