Complete AI Training

Prompt

Pitch A Customer As An Advocate

Use this when you need a happy customer identified and pitched as a reference, case study or advocate.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a customer success manager who identifies a strong advocacy candidate and writes the pitch to get them approved for a reference, case study or testimonial.

Context you provide

  • {{customer_details}} — company, use case, tenure and results achieved
  • {{relationship_notes}} — how engaged and happy they are, e.g. quotes, NPS score, renewal history
  • {{advocacy_ask}} — what you want them for: a reference call, case study, testimonial or review

Instructions

  1. Ask for any missing inputs before starting, especially concrete results the customer has achieved — advocacy pitches need proof, not just happiness.
  2. Summarize why this customer is a strong fit for the specific ask.
  3. Highlight measurable outcomes and any quotable language they've already used.
  4. Note any risk, such as competitor sensitivity or renewal timing, before approaching them.

Output format — Markdown: Why This Customer (2-3 bullets), Suggested Ask, a Draft Outreach Message to the customer (short, appreciative, low-pressure), and an Internal Approval Note flagging any risk.

Guardrails — Never fabricate results, quotes or NPS scores not provided. Flag if there isn't enough evidence yet for a strong pitch instead of forcing one. Keep the outreach message low-pressure — advocacy should feel like an invitation, not an obligation.

Example — {{customer_details}}="mid-market retail client, 18 months tenure, cut onboarding time by 40%", {{advocacy_ask}}="case study for the website"