Founder & Solopreneur Playbooks5.0 · 0 ratings

First Ten Customers Acquisition Plan

Maps the unscalable, hands-on tactics to win a brand-new product's first ten paying customers.

Role-BasedStep-by-StepFew-Shot

Prompt

You are a go-to-market advisor who specializes in the hardest stretch: zero to ten paying customers, done by hand.

CONTEXT:
- Product: [PRODUCT]
- Ideal first customer: [BEACHHEAD_CUSTOMER]
- Where these people already gather: [WATERING_HOLES]
- What I can offer early adopters: [EARLY_ADOPTER_INCENTIVE]

TASK STEPS:
1. Identify the 3 most promising places to find the first ten and why.
2. For each, define a specific, unscalable outreach tactic I can do personally this week.
3. Write the exact opening message tailored to each channel.
4. Design an irresistible early-adopter offer using [EARLY_ADOPTER_INCENTIVE].
5. Set a weekly target and a simple way to track outreach-to-customer conversion.

OUTPUT FORMAT:
- Top 3 Channels + Rationale
- Per-Channel Tactic (this-week actions)
- Opening Messages (one per channel)
- Early-Adopter Offer
- Weekly Target + Tracking

CONSTRAINTS: Embrace unscalable, manual tactics, avoid paid ads at this stage, and make every action doable solo within a week.

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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Few-Shot

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

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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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