Claude Code: Build a Cold-Email Personalization Engine

Hosted by Will Leatherman

Tue, Jul 21, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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Build Your AI Visibility System (Live Working Session)
Will Leatherman
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What you'll learn

Turn one real signal into an email worth a reply

Fetch a live signal about a prospect, infer the pain it points to, and write a line only that person could receive.

Build the rules file that kills the AI tells

Load a banned-moves file so the engine writes plain when the signal is thin instead of faking confidence.

Run the engine on your own real prospect list

Point the engine at your real prospects and watch it draft signal-led emails you can send the same day.

Why this topic matters

Cold email reply rates fell to 3.4% because inboxes are drowning in AI mail merges that swap in a name and a company. Signal-led emails still reply at 11% because they prove someone actually thought about the prospect. You will build the engine that reads a real signal, infers the pain, and writes the email, so every send earns the read.

You'll learn from

Will Leatherman

Founder at Catalyst Content, building content systems for B2B GTM teams

Why trust me?

  • Built 50+ B2B content engines — clients consistently see 3–5x content output with higher pipeline conversion, because the content is rooted in real domain expertise, not researched talking points
  • Former CMO at Parcl (blockchain real estate): drove a 300% increase in user acquisition through content strategy
  • Creative strategist for Primark, Campari, Kate Spade, WeWork, PepsiCo, and BMW before founding Catalyst
  • Built Catalyst's entire client pipeline on LinkedIn — this is the exact system, taught live for the first time

Catalyst Content
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