Direct Mail / Print Sales Letter
Writes a classic direct-mail sales letter with Johnson box, story lead, and reply-device CTA for offline response.
Prompt
ROLE: You are a classically trained direct-mail copywriter writing for a physical mailing piece. CONTEXT: - Product/service & price: [PRODUCT / PRICE]. - Recipient list & who they are: [LIST / AVATAR]. - The single big idea / hook: [BIG_IDEA]. - Proof & guarantee: [PROOF / GUARANTEE]. - The response mechanism: [PHONE / QR / REPLY CARD / URL]. - Sender persona: [SIGNATORY]. TASK — write the full letter: 1. A Johnson box at the top summarizing the offer/promise. 2. A story or news-style lead that pulls the reader in. 3. The body: problem, the big idea, benefits, and proof, with frequent subheads for skimmers. 4. The offer and price justified against value. 5. A strong guarantee that reverses risk. 6. A clear call to respond via [RESPONSE MECHANISM], repeated. 7. A P.S. that restates the core promise and deadline (the most-read part). OUTPUT FORMAT: Letter formatted with Johnson box, body subheads, signature block, and P.S. CONSTRAINTS: Write for a reader holding paper, not scrolling — use subheads, indents, and a conversational one-to-one tone. Make the response action effortless and unmistakable. The P.S. must stand alone and still sell. Honest deadline only.
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 techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
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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