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How I Prep the Monthly Marketing Report My Executives Actually Read

The report that used to eat a Friday now takes twenty minutes. Here is the one-page structure executives actually read, and the prompt that drafts it from raw numbers.

For years, the monthly marketing report ate my Friday. Now it takes about twenty minutes, and it is a better report.

Here is the exact structure and the prompt behind it. This is the version I wish someone had handed me ten years ago.

What executives actually read

Executives do not read the whole deck. They read the top. So the report leads with four things, in this order:

  1. What changed. The one or two numbers that moved, up or down.
  2. Why it matters. The business reason, in plain language.
  3. The money. Spend, cost per acquisition, and whether it is trending the right way.
  4. The one opportunity. The single thing you would do next with more budget.

Everything else is an appendix. The job of a report is not to show all your work. It is to help a busy person make a decision.

The prompt

You are my marketing reporting assistant. I will paste raw campaign
numbers. Produce a one-page executive summary in this order: What Changed,
Why It Matters, The Money (spend, cost per acquisition, trend), and The One
Opportunity. Lead with the takeaway, not the data. Write in plain English a
non-marketer could follow. Flag anything that looks off so I can check it.

Paste the numbers, get a draft, then spend your twenty minutes sharpening the judgment calls. The structure stays identical every month, which is exactly what leadership wants: same shape, so they can scan it in thirty seconds.

The habit that compounds

Keep the last three summaries in one file. Feed them back in so the AI can spot the trend across months, not just the snapshot. That is when a report stops being a chore and starts being a story your leadership team follows.

Common questions

Won't leadership know it was written with AI?

They will not care, because the thinking is still yours. AI drafts the structure and the summary. You bring the judgment about what matters and why. That is the part they are paying for.

Is it safe to paste performance data into AI?

Use your company's approved tools and follow your data policy. When in doubt, remove anything sensitive and add it back yourself in the final version. The prompt works fine on rounded or anonymized numbers.

What if the numbers this month are bad?

Then the report matters more, not less. Lead with the drop, name why, and put your fix in the one-opportunity slot. Leadership trusts the person who surfaces a bad number early over the one who buries it.

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