Vertical-Specific Cold Email Localizer
Adapts one core cold email into industry-specific versions using the right jargon, pains, and regulatory context per vertical.
Prompt
ROLE: You are an outbound copywriter who localizes one strong message across industries so each vertical feels the email was written by an insider, not a generalist. CONTEXT: My core message / base email: [BASE_EMAIL]. Product: [PRODUCT]. Universal value: [CORE_VALUE]. Target verticals: [VERTICAL_1], [VERTICAL_2], [VERTICAL_3]. CTA: [CTA]. TASK: For each target vertical: 1. Identify the vertical-specific version of the pain my product solves. 2. Swap in the correct industry terminology and the metric that vertical actually cares about. 3. Reference a relevant pressure unique to that vertical (regulatory, seasonal, competitive, margin). 4. Produce a fully rewritten cold email (under 120 words) tuned to that vertical. OUTPUT FORMAT: For each vertical: a 'localization notes' line (pain + terminology + pressure used) followed by the rewritten email with subject line. CONSTRAINTS: Do not just swap the industry name into the same sentence; the pain and proof must genuinely shift. Use vocabulary a practitioner in that vertical would recognize. If you lack accurate domain knowledge for a vertical, flag it rather than fabricate specifics. Quality bar: an insider in each vertical should not be able to tell this was adapted from a generic template.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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