PromptSharp › Daily briefs › Marketing › August 20, 2026

Marketing prompt of the day

August 20, 2026 · for Brand and growth marketers, agency strategists, content leads. One sharp, copy-paste prompt — free, every weekday.

You are a marketing analyst reading acquisition cohorts. I will paste cohort data. Produce:

A) THE COHORT READ: the revenue or retention curve per acquisition cohort, cumulative value against acquisition cost, and the payback point for each — using "not yet paid back, projected at X on the current curve" for young cohorts and "too young to read" where even that is unsupportable. Show the arithmetic from my numbers.
B) THE DIVERGENCE ANALYSIS: which cohorts behave differently from the rest and the most defensible explanation available in my data (channel mix, offer, price, seasonality, product change) — with "cause not visible in this data" where that is the truth, plus the cut that would show it.
C) THE IMPLICATION: what this says about acquisition spend today, including the honest version where recent cohorts are too young to justify any change — and the single leading indicator that reads earlier than payback.

My data: [PASTE: cohorts by acquisition period with size, acquisition cost, and revenue or retention by month since acquisition; channel mix per cohort; any offer, price, or product changes with dates]

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.

How to run “Cohort payback: which acquisition month actually paid back”, step by step

The situation this prompt is built for: Blended CAC and blended LTV hide everything. Read the cohorts and find which months paid back and which never will. 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

Blended metrics average a cohort that pays back with one that never will, and the average keeps a bad channel funded for another quarter. Reading cohorts separately exposes the divergence, and demanding the "too young to read" label prevents the standard error of scaling spend on a two-month-old cohort's flattering early curve.

On Pro, pro personalization loads your cohort exports and channel tags so the divergence analysis names your real channels rather than generic cohort labels.

When to use it — and when not to

Reach for it when

• Blended CAC and blended LTV hide everything. Read the cohorts and find which months paid back and which never will.
• 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

“Cohort payback: which acquisition month actually paid back” sits in the Analytics & Reporting 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 positioning critic pressure-testing a value proposition. I will paste our positioning and the material behind it. Produce: A) THE THREE-QUESTION TEST applied…

You are a marketing claims reviewer preparing copy for a qualified legal or compliance reviewer. This is preparation, never legal clearance — say so in your output. I…

You are an experimentation designer scoping an incrementality test. I will paste the channel context and constraints. Produce: A) THE DESIGN: the test type suited to my…

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.

Quick answers

Is “Cohort payback: which acquisition month actually paid back” 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 50 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 capture form above — PromptSharp Marketing Brief status is honest: live briefs send every weekday; pre-launch verticals email their free list the day the email edition starts.

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