『Deep Dive』のカバーアート

Deep Dive

Deep Dive

著者： Deep Dive
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概要

 Welcome to Deep Dive, the podcast that goes beneath the surface of the modern music industry. Each episode examines how today’s music economy works, the systems that determine how artists get paid, and the realities behind careers in music today. From streaming and royalties to publishing, ownership, fan communities, sync licensing, and the business of independent artistry, we explore the mechanics that matter. No jargon. No fluff. Real insight into how music and money move in 2025.Deep Dive 音楽
エピソード
  • Gigging for Income, Not Exposure: Stop Playing for “Opportunities” and Start Playing for Paydays

    Gigging for Income, Not Exposure: Stop Playing for “Opportunities” and Start Playing for Paydays
    2026/01/06

    A generated dialogue breaking down the realities of live performance in today’s music industry and why “exposure” rarely leads to sustainable income. The discussion explores how artists can approach gigging as paid work, set fair fees, choose the right types of shows, negotiate better terms, and stack income streams through live performances. It examines mindset, strategy, and professionalism, showing how playing smarter — not just more often — turns gigs into a reliable source of income rather than a drain on time and resources.


    Presented as a generated dialogue.
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    38 分
  • The Streaming Illusion: Why Streams Do Not Always Mean Success

    The Streaming Illusion: Why Streams Do Not Always Mean Success
    2026/01/03

    Streams look impressive. Income rarely follows.


    A generated dialogue examining the realities behind streaming numbers and why high play counts do not automatically translate into sustainable music careers. The conversation breaks down how streaming platforms actually pay, the difference between passive listening and real fan engagement, and why visibility without conversion often leads to burnout rather than income. It explores algorithms, playlists, payouts, back catalogues, and the systems artists need to turn streams into momentum, ownership, and long-term support.


    Presented as a generated dialogue.
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    37 分
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