Analyse supplied campaign metrics, compare consistent periods and prepare a summary without inventing attribution.
Clicks, leads and paying customers measure different stages. Define the campaign goal and the attribution window before comparing results. A low cost per click does not by itself establish profitable customer acquisition.
Ask the chief to calculate the metrics supported by the export, such as cost per lead or conversion rate. Compare periods using the same definitions, flag gaps and separate observations from hypotheses about why performance changed.
Check that each rate has the correct denominator and no missing conversions were treated as zero without explanation. The chief uses your export; it does not automatically fetch advertising account data or change campaign budgets.
Review the campaign metrics I supply. Confirm definitions and date ranges, calculate supported conversion and cost metrics, and compare periods. Separate observations from possible explanations. Do not access ad accounts or change spending.
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Start with the written draft described in the prompt. Ask for missing facts and review the result before requesting a saved file or further action.
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Review contribution margin and customer acquisition assumptions from your own cost and revenue data. See which inputs are missing.
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Create positioning briefs, campaign drafts and launch content with an AI marketing chief. Use supplied business facts and review copy before publishing.
Explore this workflow ↗Brief an AI research chief to compare competitors and examine public sources. Get a scoped report with links, assumptions and gaps you can review.
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