hub - Google Sheets cleanup prompts for marketers
Google Sheets cleanup prompts for marketers
Clean campaign exports, UTM fields, lead lists, and reporting tabs with marketer-friendly AI prompts. This page is built for marketers, growth teams, agency operators who need to prepare marketing exports for reporting faster.
Where this workflow helps
Common friction
- campaign names drift across platforms
- UTM values are inconsistent
- lead exports contain duplicates
- reports take too long to prepare
Repeatable process
- Identify source platform and reporting goal.
- List required campaign, channel, and UTM fields.
- Ask for normalization rules and formulas.
- Review ambiguous rows before reporting.
Reusable prompts
Open prompt packClean this marketing export for reporting in Google Sheets.
Normalize these UTM and campaign values into a clean channel table.
Find duplicate leads and flag rows that need manual review.
Tools to compare first
Full comparison| Tool | Best for | Use it when | Link |
|---|---|---|---|
| ChatGPT | Drafting formulas, prompts, replies, and first-pass workflows | A general-purpose assistant that works well for quick draft generation and iterative prompting. | Visit |
| Microsoft Copilot | Excel and Microsoft 365 workflows | Best matched to teams already living in Excel, Word, Outlook, and the Microsoft stack. | Visit |
| Google Gemini | Google Workspace users and mixed research workflows | Useful for teams that want AI help close to Docs, Sheets, and search-heavy research. | Visit |
| Airtable AI | Structured records and lightweight databases | Useful when the workflow needs a database shape before automation or reporting. | Visit |
Mistakes to avoid
Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.
Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.
Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.
Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.