AI for Marketing Reports: Summarise Data and Spot Insights

Monthly reporting often means pulling numbers, writing commentary and explaining the same chart again. AI can take over part of the writing: turning a table of results into a clear summary, suggesting reasons to investigate and tailoring the message for different readers. The numbers still need to come from your analytics and be checked by you.

What AI is good at in reporting

• Writing a first-draft summary from figures you provide.
• Explaining a metric in simple language for non-technical clients.
• Suggesting questions to look into when a trend changes.
• Rewriting the same findings for different audiences, such as a founder versus a campaign manager.
• Turning a long report into short bullet points.

What it is bad at

• Doing reliable calculations on large data without verification.
• Knowing why a change happened. It can only suggest possibilities.
• Understanding your business context unless you tell it.
• Remembering what you reported last month.

A safe workflow

1. Collect data from your analytics, ad platforms and CRM. Our marketing dashboard guide helps set up one source of truth.
2. Clean and select. Include only the metrics that matter for the goals.
3. Remove private information. Do not paste customer-level data. Check the tool's data terms.
4. Add context. Mention campaigns, festivals, site changes, budget shifts and anything else that affects numbers.
5. Prompt clearly. Ask for a summary of changes versus the previous period, limited to the data provided, with uncertainties noted.
6. Verify. Check each stated figure and percentage against the source.
7. Add your judgement. Write the recommendations yourself or heavily edit suggested ones.

A useful prompt outline

• Who the report is for.
• The goal of the campaign.
• The data table.
• Known events during the period.
• Instructions: do not invent numbers, flag anything uncertain, keep it under a set length.
• The format: summary, wins, concerns, next steps.

Check the calculations

If the AI computes changes, recalculate them in a spreadsheet. Pay particular attention to percentage changes, averages of rates and any totals. Mistakes here can mislead decisions.

Hypothetical example

A freelancer reports on a Chennai clinic's lead generation. She pastes a small table of monthly leads, cost per lead and top campaigns, plus a note that a festival week reduced clinic hours. AI drafts a summary and suggests asking whether lead quality changed. She verifies each number, adds a screenshot of the lead sheet and writes her own recommendations about budget shifts.

Make reports easier to read

• Put the conclusion first.
• Use two or three charts, not twenty. See data visualization for reports.
• Define terms briefly.
• End with decisions needed.

For storytelling tips, the marketing report storytelling guide goes deeper.