Cold email opener personalized from public signals
Most cold-email personalization is fake (mentions LinkedIn role). This prompt forces the model to find a genuine recent signal and tie it to your pitch.
Write the first 2 lines of a cold email opener (no greeting) for this prospect.
Prospect: {{NAME}}, {{ROLE}} at {{COMPANY}}
Public signals (recent posts, podcast appearances, hires, product launches): {{SIGNALS}}
My offer: {{OFFER}}
Rules:
- Line 1: reference one specific recent signal. No flattery. No 'I noticed.'
- Line 2: tie the signal to a non-obvious implication for {{OFFER}}.
- No 'just wanted to reach out.' No 'I'd love to.'
- If the signals are weak, say so and request stronger ones rather than fabricating. {{NAME}}{{ROLE}}{{COMPANY}}{{SIGNALS}}{{OFFER}}
How to use this prompt
- Copy the prompt above (Copy button on the top-right).
- Replace each
{{VAR}}with your own value. Variables:{{NAME}}{{ROLE}}{{COMPANY}}{{SIGNALS}}{{OFFER}}. - Paste it into one of the recommended tools below.
- Iterate: tighten constraints in the prompt if the output is generic.
Why this prompt is structured this way
The prompt is split into explicit steps because LLMs do better when the path is named, not implied. Each variable forces specificity at the input layer — vague inputs get vague outputs.
Pair this prompt with a tool
Jasper
$39/moEnterprise-grade marketing AI with brand-voice controls.
Jasper is built for marketing teams that need on-brand output at scale. Strong template library, decent brand-voice fine-tuning, plugs into Surfer for SEO.
Copy.ai
$49/moSales + marketing workflows you can chain together.
Copy.ai pivoted hard into 'workflows' — chainable prompts that combine research, drafting, and personalization. Better than Jasper for outbound sales sequences.
The PlaybookPrompts weekly
One short email per week. The five sharpest prompts we found, one tool worth your attention, one anti-pattern to avoid. Unsubscribe in one click.
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