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Money MagnetAI prompt toolkits · NZBrowse kits

Free guide · works with ChatGPT, Claude or Gemini

Reactivation Auckland NZ business

In 15 minutes, create a targeted win-back segment, a compliant channel plan, and ready-to-send message variants with a simple response tracker tailored to your city and customer base. Launch a small, controlled wave you can repeat and scale the same day.

Step 1, free.

Copy this, paste it into your AI, and swap the [BRACKETS] for your own details.

Setup: Define the win-back goal

[BUSINESS TYPE] [CITY] [COUNTRY] [PRIMARY OFFER CATEGORY] [AVERAGE ORDER VALUE RANGE] [CUSTOMER BASE SIZE] [SEASONALITY NOTES] [CURRENT CONSTRAINTS] [SUCCESS METRIC] [TIME/RESOURCE LIMITS] [SYSTEMS/TOOLS] [BRAND TONE] [KNOWN RISKS]
Act as a commercial retention lead and define a concrete, city-aware win-back goal we can execute in 15 minutes.
Work through it like this:
1) Specify the single outcome to achieve in the next 14–30 days (e.g., reactivated orders, bookings, or paid trials), making it measurable and tied to [SUCCESS METRIC].
2) Set the scope: target city/area within [CITY], supported systems ([SYSTEMS/TOOLS]), and the practical send volume limit from [TIME/RESOURCE LIMITS].
3) Identify guardrails: exclusions (e.g., VIPs, complaint history), tone fit using [BRAND TONE], and risks from [KNOWN RISKS].
4) Define a minimum viable test: cohort size, channels we can actually use today given [CURRENT CONSTRAINTS].
5) Capture offer boundaries linked to [PRIMARY OFFER CATEGORY] and economics (keep to signals only, not prices) using [AVERAGE ORDER VALUE RANGE].
6) Note seasonality factors from [SEASONALITY NOTES] relevant in [CITY], and any operational blackout days.
Give me the output as:
Goal Brief with sections: Objective, Scope (City/Systems/Volume), Success Metric & Timeframe, Guardrails & Exclusions, Minimum Viable Test, Offer Boundaries, Seasonality/Operational Notes, Risks & Mitigations. Keep each section 1–3 sentences.
Quality bar: Specific enough that a junior can decide “in or out” on a customer in under 30 seconds.
If any field is missing, ask up to three precise questions needed to finalise the Goal Brief; if still unknown, mark MISSING and proceed with no assumptions.

How to get a good answer.

  1. 01Fill every [BRACKET] with real detail. Vague in, vague out.
  2. 02Read the answer, then reply with what's wrong or missing. The AI fixes it in seconds.
  3. 03Check facts, prices and anything legal or safety-related yourself before you use it.

The rest of the workflow.

Step 1 gets you started. The full Customer Win-Back in 15 takes you all the way, 15 steps in order:

  1. 01Setup: Define the win-back goal (free above)
  2. 02Setup: Choose the lapse window
  3. 03Setup: Capture locale and compliance notes
  4. 04Data Prep: Import the customer list
  5. 05Data Prep: Filter the lapsed segment
  6. 06Data Prep: Add churn clues and notes
  7. 07Campaign Build: Select channels for the segment
  8. 08Campaign Build: Draft message variants
  9. 09Campaign Build: Map offers to profiles
  10. 10Launch & QA: Review tone and legal fit
  11. 11Launch & QA: Build a send cadence
  12. 12Launch & QA: Create the response tracker
  13. 13Launch & QA: Generate send-ready assets
  14. 14Launch & QA: Run a dry test
  15. 15Follow-up & Maintenance: Monitor, learn, and iterate

Get the full kit · NZ$39.50

Pay once, keep it. Delivered instantly with a copy button on every prompt.

Questions

Does this work with the free version of ChatGPT?

Yes. The prompt works in the free versions of ChatGPT, Claude and Gemini, on a phone or a computer.

What do I put in the [BRACKETS]?

Your real details: notes, numbers, names, whatever the bracket asks for. The more specific you are, the better the answer.

Is the AI's answer always right?

No. Treat it as a strong first draft: check facts, figures and anything legal or safety-related before you use it.

What's in the full Customer Win-Back in 15?

15 steps run in order, a system prompt that sets the AI up for the job, worked examples, fix-it prompts and a quality checklist. It's NZ$39.50 once, no subscription.

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