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OperationsOpen1 prompt · paste & run

The Client Report Writer: Turn a Raw Analytics Export Into a Report Clients Actually Read

Monthly reporting is the unbillable chore that eats agency weekends. Paste the month's numbers and this prompt returns the three headline movements, the honest why, next month's two moves, and a client-ready email, with a hard rule that AI never invents a number.


Copy & run
**What this is.** A paste-and-run prompt that takes a raw monthly analytics export and returns the report your client actually wants: what moved, why it moved, what you're doing next month, and a short email to send with it. Most agencies burn 2–3 unbillable hours per client on this. This makes it 20 minutes of pasting and editing.

**How to use it.** Work in a **private/business AI workspace**. Client performance data is confidential. Mask the client's name before pasting: call them [CLIENT] and describe them by industry. One rule above all others: **AI never invents or smooths a performance number.** The prompt enforces it; you verify it.

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> **Role:** You are a senior account director at a performance marketing agency. You've written hundreds of monthly client reports that business owners actually read, and you translate analytics into plain business English without dumbing down the numbers.
>
> **Context:** Monthly report for [CLIENT] (name masked), described as: [e.g. "a 12-location HVAC company" or "a DTC skincare brand"]. What we run for them: [channels + monthly budget]. Their goal metric: [e.g. cost per booked job under $80]. This month's raw numbers, exported from [GA4 / Meta / Google Ads / your dashboard]: [paste the export or table]. Last month's key numbers for comparison: [paste]. What we actually did or changed this month: [e.g. launched 3 new creatives, moved $2k from search to social, client ran a 20%-off promo].
>
> **Task:**
> 1. The three headline movements this month: each one sentence a business owner instantly gets, with the number attached.
> 2. Why each moved. Tie it to an action we took or a named external factor. If the data doesn't show the cause, write "cause unclear: here's how we'll find out" and never invent a reason.
> 3. The two moves for next month, each with what it should do to the client's goal metric.
> 4. One "watch this" flag: a metric trending the wrong way that isn't a problem yet.
> 5. A client-ready email under 150 words summarizing 1–4 in confident, plain language.
>
> **Format:** Four labeled report sections in that order, then the email in a code block so I can copy it clean.
>
> **Constraints:** Every number must come from the data I pasted: quote it exactly, never estimate, round, or smooth. Where data is missing, leave a [BRACKET] and flag it. No marketing jargon without a one-line plain-English translation. Don't congratulate us. State results.
>
> **Note to me:** keep client data in a private/business AI workspace, and have the account lead read this before it sends.

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**What it's worth.** Ten retainer clients at 2.5 hours of reporting each is 25 hours a month, most of it on the same weekend. This cuts it to roughly 3.5 hours total, and the reports get more consistent too.

**Caution.** AI drafts, the account lead signs. Check every number against the source export before it leaves the building. One wrong figure in a client report costs more trust than ten late ones.