Task 1 · typically 90 min, once a week
Pull numbers from each platform into a campaign report
Pull every platform's numbers into one dashboard automatically
Supermetrics, Funnel, Windsor.ai or the native connectors in Google Data Studio and Power BI pull ad, social, web and email data into one place that refreshes itself.
- 1List the platforms and the five or six numbers you report on.
- 2Connect them with Supermetrics, Funnel, Windsor.ai or native Google Data Studio and Power BI connectors.
- 3Build the dashboard once in Google Data Studio, Power BI or Google Sheets.
- 4Schedule it to email the link weekly; stop building the report by hand.
Tools: Supermetrics · Funnel · Windsor.ai · Google Data Studio (formerly Looker Studio) · Power BI · HubSpot dashboards
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Have AI write the "what happened and why" summary
The numbers are the easy part; the commentary takes the time. Paste this period and last period and AI drafts the summary for you to correct.
- 1Export the numbers for this period and the last.
- 2Paste them with the prompt below, plus anything you know that changed (budget, launches).
- 3Correct anything it misreads and add your judgment.
- 4Paste it at the top of your report.
Here are our marketing results for [THIS PERIOD] and [LAST PERIOD]: [PASTE TABLE]. Context: [CHANGES, LAUNCHES, BUDGET SHIFTS]. Write a summary for [AUDIENCE] in under 200 words: three biggest changes with numbers, likely reasons based only on the context given, and two recommended actions. Flag any metric that looks like a tracking error.
Tools: ChatGPT, Claude, Gemini or Microsoft Copilot · Copilot in Excel or Gemini in Sheets
Agree a short list of metrics and drop the rest
Reports grow every quarter as people ask for one more number. Agreeing the handful that drive decisions cuts the report and the time to build it.
- 1List every metric in the current report.
- 2Ask the people who read it which ones changed a decision in the last quarter.
- 3Keep those (usually five to eight) and move the rest to an optional dashboard.
- 4Revisit the list twice a year.
Tools: Google Data Studio, Power BI or a spreadsheet