Library/Outreach & Messaging/Personalization & Account-Based Messaging/Write Persona-Specific Value Props for Outreach
TestedOutreach & MessagingSame-Day Use (under 30 min)
About this prompt
This prompt produces persona-specific value propositions for AEs and SDRs who sell to multiple stakeholders. For each persona you input, it outputs a sub-15-word one-liner, a 30-second verbal pitch, and a full value statement with proof points. Use it when personalizing cold outreach or preparing for a multi-stakeholder demo. It replaces generic messaging with language that maps to what each role actually cares about.Sending the same message to a CFO and a VP of Operations is leaving response rates on the table. This prompt takes your product, up to three target personas with their priorities, your key differentiators, and any proof points you have, then builds a complete value messaging suite for each persona. The one-liner is built for email subject lines and call openers; the elevator pitch is calibrated for verbal delivery; the full value statement covers problem, solution, differentiation, and evidence. Fill in [WHAT YOU SELL] and each [TITLE] - [WHAT THEY CARE ABOUT] pairing with real specifics. Use this instead of a generic cold email template when you have at least a working hypothesis about each persona's priorities. Run it for your top two or three personas before a campaign launch, then validate the messaging after the first 50 sends.The prompt
Different buyers care about different things. Get value propositions tailored to each persona. Tell me your product and target personas. I'll create value props for each. YOUR PRODUCT: [WHAT YOU SELL]
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Variables to replace
WHAT YOU SELL | TITLE | WHAT THEY CARE ABOUT | WHAT MAKES YOU UNIQUE | EVIDENCE YOU HAVE
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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