How Spotify Built a Moat in Personalization

Lucas and Luna dive into Spotify's most defensible asset: its personalization engine. They break down how Discover Weekly, algorithmic playlists, and the two-sided marketplace create switching costs that keep users locked in. Lucas explains the network effect between listeners and artists, the data flywheel, and why podcasts and audiobooks are the next frontier. Luna challenges whether the moat is eroding as competitors copy the playbook and royalty disputes intensify. Specific numbers: 100 million Discover Weekly listeners, 2 billion personalized playlists, 70 percent of listening from algorithmic recommendations. A concrete look at data moats in streaming. #Spotify #Personalization #DataMoat #CompetitiveAdvantage #StreamingWars #MusicIndustry #Podcasting #Audiobooks #NetworkEffects #SwitchingCosts #Algorithm #DiscoverWeekly #BusinessStrategy #DigitalEconomy #TwoSidedMarket #FexingoBusiness #BusinessPodcast #StrategyTalks Keep every episode free: buymeacoffee.com/fexingo