Library/Prospecting & Pipeline Creation/Cold Email & Outbound Writing/Write a Short Personalized Cold Outreach Email
TestedProspecting & Pipeline CreationQuick Win (under 10 min)
About this prompt
Takes a recipient's name and industry, the problem you solve, and your company name, then produces a personalized cold outreach email under 150 words with a problem-focused message and a clear call to action. For SDRs, BDRs, and AEs sending outbound at moderate volume. Use it when you need a clean, non-templated email without a detailed research input.Not every cold email requires deep account research — sometimes you have the industry, a known pain point, and enough context to write something that doesn't feel generic. This prompt takes those four inputs and produces a short, problem-forward email that reads like a person wrote it rather than a template engine. PROBLEM YOU SOLVE should be framed from the buyer's perspective — the outcome they want or the friction they're experiencing — rather than your product's feature list. The 150-word constraint is intentional: it forces the email to stay focused and eliminates the throat-clearing that buries the value prop in most outbound. Use this over a more variable-heavy prompt when you're doing moderate-volume outreach with limited account-level data. Practical tip: test two versions of the CTA — one asking for a meeting and one asking a question — and track which generates more replies in your segment.The prompt
Write a personalized cold outreach email to [recipient name] in [their industry]. Focus on [problem you solve] and include a clear CTA. Keep it under 150 words and make it sound natural, not templated
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Variables to replace
RECIPIENT NAME|THEIR INDUSTRY|PROBLEM YOU SOLVE|COMPANY NAME
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.
What good output looks like
Make it yours
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