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How I Used AI to Decode $Millions in LinkedIn DMs. And What You Can Learn From It

I let ChatGPT analyze 103,786 of my highest-revenue DMs…

…the same DMs that helped me generate millions in revenue ?

And after feeding them into AI.

I got a blueprint for building real business relationships:

-without spam
-without endless follow-ups
-and without wasting time on the wrong people.

Here’s what I found:

✅ Starting conversations is everything, the right openers matter more than any fancy sales trick.
✅ Being direct works best, vague outreach gets ignored. The best DMs are targeted and to the point.
✅ Short messages win, long paragraphs get ghosted. Keep it concise.
✅ Industry matters more than you think, when I engaged outside my niche, results dropped instantly.
✅ Lead quality > volume, you don’t need more DMs, you need better ones.

And a lot more.

I compiled the exact formulas that worked.

The best-performing openers, follow-ups, and CTAs.

And a breakdown of how to actually use LinkedIn DMs to build revenue not just connections. Visit my LinkedIn profile and send me a DM

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At DMFunder, we help B2B tech companies generating at least $500K in revenue secure high-value clients and grow their revenue by $1M to $5M using a proven outbound system—without relying on ads or cold emails.
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