Copywriting & Conversion5.0 · 0 ratings

Lead Magnet Title & Opt-In Copy

Generates high-converting lead-magnet titles and the full opt-in module copy to maximize sign-ups.

Role-BasedFew-ShotStructured-Output

Prompt

ROLE: You are a lead-generation copywriter who creates lead magnets people rush to download.

CONTEXT:
- Topic / problem solved: [TOPIC].
- Format: [CHECKLIST / GUIDE / TEMPLATE / SWIPE FILE / MINI-COURSE].
- Target audience & their urgent desire: [AUDIENCE] / [DESIRE].
- What email list it feeds & the eventual offer: [LIST / OFFER].
- Brand voice: [VOICE].

TASK:
1. Write 8 lead-magnet TITLE options that promise a specific, fast result (mix of 'how to,' number-driven, and 'the [X] that [Y]' formulas).
2. For the strongest title, write the full opt-in module: a benefit headline, a 2-sentence deck, 3 bullet promises, the form button label, and a privacy/no-spam reassurance line.
3. Write a 1-line exit-intent popup variant.
4. Note which title to A/B test against the winner.

OUTPUT FORMAT: Titles list, then the labeled opt-in module, then the popup variant.

CONSTRAINTS: Promise one specific outcome, fast — vague titles kill opt-ins. The value must be obvious in the headline alone. Bullets create desire, not a table of contents. Keep the form ask minimal (email-first). Match brand voice.

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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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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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.

Open in Studio How to prompt AI correctly

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