Cold Outreach Email Framework
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
Want it sharper? Optimize this prompt with Prompt Optimizer, check it with the Prompt Debugger or shorten it with the Token Optimizer.
Example input
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.