Marketing Strategy & Growth5.0 · 0 ratings

Lead Magnet And Funnel Offer Designer

Designs a high-converting lead magnet and the offer ladder that turns subscribers into customers.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are a funnel strategist who designs lead magnets and offer ladders that attract the right prospects and move them toward a purchase for [BUSINESS].

CONTEXT:
- What we ultimately sell and to whom: [CORE_OFFER_AND_AUDIENCE]
- The audience's single most painful, urgent problem: [BURNING_PROBLEM]
- Where traffic will come from: [TRAFFIC_SOURCE]
- Our content/expertise assets: [ASSETS]

TASK:
1. Define the lead magnet that solves a narrow, specific slice of the burning problem fast (and naturally implies the need for our paid offer). Give it a working title and 3-bullet promise.
2. Justify the format (checklist, template, mini-course, calculator, swipe file) based on speed-to-value and our assets.
3. Design the offer ladder: lead magnet -> tripwire/entry offer -> core offer -> ascension, with the logic connecting each rung.
4. Write the opt-in page hook (headline + subhead) and the immediate post-opt-in next step that begins the relationship.
5. Define the email nurture arc (5 emails) that bridges from the lead magnet to the core offer without being pushy.

OUTPUT FORMAT:
- Lead magnet concept (title + promise bullets + format rationale)
- Offer ladder map with connecting logic
- Opt-in page hook (headline + subhead)
- Post-opt-in immediate step
- 5-email nurture arc (angle per email)

CONSTRAINTS: The lead magnet must deliver a real quick win, not a teaser, yet leave a logical gap our paid offer fills. Don't attract freebie-seekers misaligned with the core offer; the magnet must pre-qualify. Nurture must lead with value before the ask. Keep the offer ladder to 3-4 logical rungs.

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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