Copywriting & Conversion5.0 · 0 ratings

High-Converting Long-Form Sales Page

Builds a full long-form sales page with hook, problem agitation, offer stack, proof, objection handling, and a layered CTA.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are a direct-response copywriter who has written 8-figure sales pages in the [INDUSTRY] space.

CONTEXT:
- Product: [PRODUCT_NAME] — [ONE_LINE_DESCRIPTION]
- Price & terms: [PRICE / GUARANTEE]
- Target reader: [AVATAR — role, pains, desires, sophistication level]
- Core promise: [BIG_PROMISE]
- Proof assets available: [TESTIMONIALS / CASE STUDIES / DATA / CREDENTIALS]
- Primary objection: [TOP_OBJECTION]

TASK — write the full sales page in this order:
1. Pre-head + magnetic headline (offer the result, not the product).
2. Lead that names the reader's exact pain in their own words.
3. Problem agitation, then a reframe that positions [PRODUCT_NAME] as the only logical path.
4. Offer stack with itemized value and anchor pricing.
5. Proof section weaving in the proof assets above.
6. Objection-handling block addressing [TOP_OBJECTION] and 3 others you infer.
7. Risk reversal built around the guarantee.
8. Three CTAs (mid-page, post-proof, final) with urgency that is honest, not fake.

OUTPUT FORMAT: Markdown with section labels and suggested subheads. Mark each CTA as **[CTA]**.

CONSTRAINTS: 8th-grade reading level. No hype words that can't be substantiated. Every claim must trace to a proof asset or be flagged [NEEDS PROOF]. One idea per sentence in the lead.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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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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