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Cold Outreach Email Framework

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A prompt for short, relevant cold emails that read like a person wrote them. It forces the structure that tends to get replies: a specific observation, one relevant value point and a low-friction ask.

Personalization is the input, not the model's job. You provide real facts about the prospect and the model turns them into tight copy.

Prompt template

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prompt-template
123 tokens
Write a cold email under 90 words. Sender: [YOUR NAME, ROLE, COMPANY] Prospect: [NAME, ROLE, COMPANY] Specific observation about them: [REAL FACT] Their likely problem: [PROBLEM] Our relevant result: [ONE PROOF POINT WITH A NUMBER] Structure: 1) the observation, 2) the problem and our proof point, 3) a soft question asking if it is worth a look. Rules: no buzzwords, no exclamation marks, no "hope this finds you well". Give 3 subject lines and 2 versions of the email.

Want it sharper? Optimize this prompt with Prompt Optimizer, check it with the Prompt Debugger or shorten it with the Token Optimizer.

Example input

example-input
58 tokens
Sender: Sam, founder, Cuelara Prospect: Priya, Head of AI, Lumen Health Observation: Lumen's engineering blog mentions rising LLM costs Problem: token spend growing faster than usage Proof point: cut a customer's prompt tokens by 38%

When to use it

  • Outbound sales and partnership outreach
  • Founder-led early customer discovery
  • Recruiting and investor introductions
  • Generating variants to test opening lines

Best practices

  • Supply one true, specific fact about the prospect.
  • Keep it under 90 words and end with a question.
  • Ask for interest, not a 30-minute meeting.
  • Generate several openers and pick the most natural.

Common mistakes

  • Fake personalization ("Loved your recent post!") with no detail.
  • Pitching features instead of the prospect's problem.
  • Long emails with several links and asks.

FAQs

How long should a cold email be?

Under 100 words. Short emails are easier to answer.

Is AI-personalized outreach spam?

It is spam if it is generic. Real, specific relevance and a respectful ask keep it useful.

How do I improve reply rates?

Test one variable at a time: subject line, opener or call to action.

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