5d • 🔥 Community Value
We analyzed a huge dataset of newsletters recently (100+ issues across different niches)… and a lot of people asked if we could share what those “patterns” actually look like. So here’s a small behind-the-scenes peek.
One thing we noticed pretty fast: the data is never as clean as you think.
Different newsletters structure things in wildly different ways… sometimes even the same creator changes formatting issue to issue.
Here’s a tiny snippet from one of our comparisons (blurred names for privacy):
(check the screenshots)
This is the kind of stuff we’re tracking per issue:
- Word count
- Image count
- Section count (Issues with ~5 sections performed better on average than issues with 9–10, regardless of how long they were)
- CTA count
- Ad frequency
- Tone
- Intent
- Emoji usage (One issue we saw literally had 36 emojis 😭)
- Reading time
- Summary
- Structural patterns
- What the issue is trying to do (inform, entertain, persuade, etc.)
- Recurring creative formats
- How consistent a creator actually is from week to week
If you run a newsletter, I’m curious:
Which patterns do YOU notice in your niche that other people might miss?
Always love hearing how different creators think about structure and storytelling.
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We analyzed a huge dataset of newsletters recently (100+ issues across different niches)… and a lot of people asked if we could share what those “patterns” actually look like. So here’s a small behind-the-scenes peek.
skool.com/the-4d-copywriting-community-4828
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