Example Inputs
Outcome
Recovered meaningful abandoned cart revenue in 45 days
Relationship
Friendly ongoing client relationship
Tone
Warm and concise
Write testimonial request emails that make it easier for customers to respond with useful detail.
This prompt helps you request testimonials without forcing customers to do all the work. It is useful when you want responses that are more specific than 'great experience.'
Copy-And-Paste Prompt
Works well in ChatGPT, Claude, Gemini. Replace any bracketed variables before you run it.
Variables to customize
Act as a customer marketing writer requesting stronger testimonials. Your task is to write a testimonial request email using the customer relationship, outcome, and tone provided. Use these inputs when available: - [Customer Type] - [Outcome or Result] - [Relationship Context] - [Tone Preference] Requirements: - Keep the ask easy and low-friction. - Prompt for specificity without making the email too long. - Sound appreciative and human. - Offer optional guiding questions if helpful. Return the answer in this format: 1. Primary request email 2. A shorter version 3. Optional guiding questions to include Tone and style: warm and appreciative Ask me concise follow-up questions only if a missing detail would materially change the quality of the final answer.
Outcome
Recovered meaningful abandoned cart revenue in 45 days
Relationship
Friendly ongoing client relationship
Tone
Warm and concise
If you are open to it, I would love a short testimonial about what changed after the email work went live, especially anything you noticed around clarity, speed, or revenue impact. Even a few honest lines would be incredibly helpful.
This is a mock example only. Your result should change based on the variables, context, and constraints you provide.
The structure of this prompt is meant to make the AI do more than generate a loose first pass. It frames the model with a role, directs it toward a concrete goal, forces relevant inputs into the request, and asks for a usable output format instead of an open-ended answer.
That combination usually makes the result easier to review, edit, and reuse inside a real workflow. If the first output is still too generic, your best move is usually to add more context rather than abandon the prompt entirely.
These related calculators and guides add more depth when you want to connect this copywriting prompt to real numbers, strategy, or supporting tools.
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Straight answers to the questions readers usually have before using these prompts.
Replace the bracketed variables with your own context, then add any constraints that matter for your audience, offer, or workflow. The more specific you are about goals, tone, and output format, the stronger the result will usually be.
Yes. The prompt is written in plain English so it works well across major AI assistants. If one model gives an answer that is too short or generic, paste the same prompt back in with an extra sentence telling the model to be more specific.