PromptSharp › Daily briefs › Marketing › November 5, 2026

Marketing prompt of the day

November 5, 2026 · for Brand and growth marketers, agency strategists, content leads. One sharp, copy-paste prompt — free, every weekday.

You are a voice-of-customer analyst extracting language for copy. I will paste raw customer material. Produce:

A) A LANGUAGE TABLE: the exact phrases customers use for the problem, the desired outcome, the objection, and the alternative they compared us to — each quoted verbatim, with how often it appeared in my material. Never paraphrase into marketing language inside this table.
B) THE TRANSLATION LIST: our internal or product terminology beside the customer phrase that means the same thing, flagging every term of ours with no customer equivalent at all — those are words we invented and are asking buyers to learn.
C) THREE COPY ANGLES built only from quoted customer language, each with a headline, a supporting line, and the specific quotes it was derived from so anyone can trace it back.

My material: [PASTE: reviews, support tickets, sales call notes, survey open-ends, community posts, stated churn reasons — anonymized before pasting]

Rules: Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it. Mark every claim I should verify in my analytics or source systems before it is published or presented. Never include customer personally identifiable information or client-confidential terms.

What changed for Marketing

How to run “Mine customer language: write in their words, not ours”, step by step

The situation this prompt is built for: The copy is full of words the company invented and customers never say. Pull the real language out of reviews, tickets, and call notes. Below is exactly what to feed it and what comes back — no model-specific tricks, it runs the same in any chat AI.

Why this structure works

Marketing writes in the language of the org chart and customers buy in the language of their problem. Requiring verbatim quotes with traceable derivation kills the usual failure — copy that "sounds like the customer" but was actually invented in a workshop — and the invented-terms list frequently explains a landing page that tests badly for no visible reason.

On Pro, pro personalization loads your review and ticket exports on a schedule so the language table refreshes as customer vocabulary shifts, instead of freezing at one audit.

When to use it — and when not to

Reach for it when

• The copy is full of words the company invented and customers never say. Pull the real language out of reviews, tickets, and call notes.
• You need the output in a shape you can forward as-is — the fixed structure above is the point.

Skip it when

• You don’t yet have the source material — the prompt is built to refuse to fake it. Its own guardrail: “Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it.” With nothing to work from, you’ll get a list of “not provided” flags, which is honest but not useful. Collect the inputs first.
• The task is genuinely one sentence long — a structured prompt earns its overhead when the output has parts. For quick one-off questions, just ask.

Adapting today’s prompt for adjacent roles

“Mine customer language: write in their words, not ours” sits in the Content & Copy lane of the marketing pool. If your seat is one desk over, these are the same craft-move rebuilt for the neighbouring workflow — pulled from the same curated pool, each free in full at its permalink:

You are a marketing effectiveness analyst writing an honest post-campaign review. I will paste the objectives, targets, and results. Produce: A) A VERDICT PER OBJECTIVE…

You are a media operations lead running pre-launch QA. I will describe the campaign setup and you will produce: A) A NUMBERED QA CHECKLIST customized to my setup — each…

You are a retention economist reviewing promotional cadence. I will paste my promo history and revenue mix. Produce: A) A DEPENDENCY READ from my numbers: the share of…

Common failure modes (and the fixes)

• Failure: letting the model drift past the prompt’s own guardrail — “Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: letting the model drift past the prompt’s own guardrail — “Mark every claim I should verify in my analytics or source systems before it is published or presented.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: letting the model drift past the prompt’s own guardrail — “Never include customer personally identifiable information or client-confidential terms.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: accepting the first pass. Fix: reply with one line — “now cut everything that is generic to any company and keep only what is specific to mine” — the cheapest quality doubling available.

Where AI is landing for brand and growth marketers right now

Context for today’s prompt, from the same screened sources the daily brief reads. Our read, with sources linked — the pattern across items like these is consistent: the professionals getting leverage from AI are the ones feeding it real working context, which is exactly the muscle today’s prompt trains.

• Hard to Fool: A Bounded LLM Research Loop for Quantitative Finance, and What Two Dozen Campaigns Found (arxiv) — Agentic research loops that let a language model propose a change, run a fixed experiment and keep whatever improves the metric work well in machine learning. In trading research…

Quick answers

Is “Mine customer language: write in their words, not ours” free to use?

Yes — every weekday issue of the PromptSharp Marketing Brief publishes one full pool prompt free on the web, and it stays free in the archive. Pro is the daily full prompt set, personalization, and MCP delivery — not a paywall on this page.

Which AI model does this prompt work with?

Any of them. Every PromptSharp prompt is model-agnostic plain text — ChatGPT, Claude, Gemini, Copilot, or a local model. No plugins, no custom GPTs; paste and run.

How is the marketing prompt of the day chosen?

Deterministic rotation over the curated marketing pool — currently 51 prompts across 5 sections — the same single source the paid brief reads. Same date, same prompt: the archive never silently changes under you.

How do I get this in my inbox instead?

The PromptSharp Marketing Brief email edition is part of Pro (the button above). The issue itself stays free here on the web every weekday, and PromptSharp Daily (free) emails one prompt each weekday.

More daily AI prompt briefs

The same free weekday format, tuned to other crafts:

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