AI tools can save time summarising campaign reports, but the underlying numbers must come from your actual analytics platforms, not from AI estimation or memory.
Feed AI your real exported data
Export actual numbers from Google Ads, Meta Ads Manager or Google Analytics and paste or upload them into the AI tool for summarising, rather than asking the AI to estimate performance from a general description of the campaign.
Ask for patterns, not conclusions
Useful prompts ask AI to identify which campaigns or ad sets had the highest and lowest cost per result, or to summarise week-on-week trends. Avoid asking AI to decide strategy purely from a summary without your own judgement about context like seasonality or local events.
Verify any numbers in the summary
Occasionally cross-check a few figures in the AI summary against the original export to confirm it read the data correctly, since errors in transcription or interpretation can occur, especially with large datasets.
Use summaries to prepare, not replace, reporting
An AI-generated summary is useful as a first draft for client or management reports, but add your own interpretation of why results happened, based on your knowledge of the campaign and the Mysore market context.
Keep raw data as the source of truth
Always retain and reference the original data export rather than relying solely on an AI-generated summary for future decisions, especially for anything involving budget changes.
Key takeaways
- Only summarise real exported data, not estimates
- Ask AI for patterns and comparisons, not final strategy
- Spot-check summarised figures against original data
- Add your own context and interpretation before reporting
- Keep the raw data as your actual source of truth