๐Ÿ“Š How to Mine Your YouTube Analytics for Book Gold ๐Ÿ’ฐ
Yes - I asked Claude to review what I just did and create a post.... so it's whatever - but better than me typing it all out...
Just did something cool with Claude that I wanted to share with you all...
The Challenge:
I wanted to figure out which book concepts would perform best on my YouTube audiobook channel AND align with current market trends.
The Process:
Step 1: Deep Dive into YouTube Analytics
  • Exported my channel performance data (views, watch time, CTR, engagement)
  • Identified patterns: which genres, tropes, and formats were crushing it
  • Found my surprise winners (some genres I didn't expect to dominate)
Step 2: Cross-Reference with Market Data
  • Used my K-lytics genre reports (I have reports on 15+ genres)
  • Claude analyzed the intersection of MY audience's preferences + current market signals
  • Found the sweet spot between what's trending and what MY viewers actually consume
Step 3: Concept Development
  • Asked Claude to generate 12 book concepts based on both data sets
  • Specified format: Title, Genre, Heat Level, 5 Tropes (comma-separated)
  • Got concepts that hit my proven winners while tapping into market demand
The Results:
12 book concepts that are: โœ… Proven to resonate with my existing audience โœ… Aligned with current market trends โœ… Ready to develop with confidence (not just guessing)
Key Takeaway:
Your channel analytics are MARKET RESEARCH. If you're putting audiobooks on YouTube, you're sitting on data that tells you exactly what your audience wants.
What You Need:
  • Your YouTube analytics (export to spreadsheet)
  • Genre market reports (K-lytics, Publisher Rocket, etc.)
  • Claude or another AI to help spot patterns
The Magic:
Combining YOUR data with MARKET data = concepts with built-in audiences
Anyone else mining their platform analytics for book ideas? What's your process? ๐Ÿ‘‡
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16 comments
Dana Sacco
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๐Ÿ“Š How to Mine Your YouTube Analytics for Book Gold ๐Ÿ’ฐ
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