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: โ
Proven to resonate with my existing audience โ
Aligned with current market trends โ
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? ๐