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AI Music Marketing: From Zero Fans to Your First Hit

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Manage episode 503375293 series 3670994
Content provided by Ran Chen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ran Chen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Have you created an incredible song using AI but have no audience to share it with? The traditional music marketing playbook is obsolete for AI-native creators. This episode throws out the old rules and gives you a new roadmap for building a fanbase from scratch in the world of AI music. We explore a fundamental mindset shift: your marketing is not about the final song, but the story of its creation. We detail a powerful case study: the GrimesAI Elf.Tech project. The pain point for new artists is obscurity. The solution presented by Grimes was a radical form of collaboration, allowing anyone to use her AI-replicated voice in their music for a 50% royalty split. This model bypasses industry gatekeepers and turns marketing into a shared, community-driven success story. In this episode, you will learn: 1. How can you turn your creative process into your most powerful marketing tool? 2. Why is having no existing music brand actually a massive advantage today? 3. What is the "GrimesAI" model, and how can it inspire new marketing strategies? 4. How can you find your first 100 true fans in niche online communities? 5. What's the secret to pitching your AI music to journalists and bloggers? 6. Is it possible to build a career in music without ever playing a live gig? 7. What is the single most important story to tell when promoting your AI song? 8. How do you transform "I made a song" into a compelling narrative that people want to follow? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818
  continue reading

81 episodes

Artwork
iconShare
 
Manage episode 503375293 series 3670994
Content provided by Ran Chen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ran Chen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Have you created an incredible song using AI but have no audience to share it with? The traditional music marketing playbook is obsolete for AI-native creators. This episode throws out the old rules and gives you a new roadmap for building a fanbase from scratch in the world of AI music. We explore a fundamental mindset shift: your marketing is not about the final song, but the story of its creation. We detail a powerful case study: the GrimesAI Elf.Tech project. The pain point for new artists is obscurity. The solution presented by Grimes was a radical form of collaboration, allowing anyone to use her AI-replicated voice in their music for a 50% royalty split. This model bypasses industry gatekeepers and turns marketing into a shared, community-driven success story. In this episode, you will learn: 1. How can you turn your creative process into your most powerful marketing tool? 2. Why is having no existing music brand actually a massive advantage today? 3. What is the "GrimesAI" model, and how can it inspire new marketing strategies? 4. How can you find your first 100 true fans in niche online communities? 5. What's the secret to pitching your AI music to journalists and bloggers? 6. Is it possible to build a career in music without ever playing a live gig? 7. What is the single most important story to tell when promoting your AI song? 8. How do you transform "I made a song" into a compelling narrative that people want to follow? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818
  continue reading

81 episodes

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