# ChatGPT Data Analysis for Marketing Exports

> Analyse GA4, ad platform and CRM exports with ChatGPT data analysis: file prep, prompts for funnels, cohorts and channels, and how to check results.

Source: https://mentionx.ai/learn/chatgpt/chatgpt-data-analysis-marketing-exports  
Author: Dipuck Jones, founder of MentionX  
Updated: 4 November 2026  
Level: Practitioner

**ChatGPT can analyse marketing exports by writing and running Python on your file: it cleans data, joins sources, builds charts and explains changes.** It's fast and usually right on arithmetic, but it can misread a column or a date format, so check its working before a number goes in a report.

> **Key takeaways**
>
> - Prepare files: headers in the first row, one row per record, no summary or blank rows.
> - Ask a specific question, name the columns and say how to treat edge cases.
> - Ask for the code and intermediate tables, and recompute one figure yourself.
> - Interactive charts are supported for bar, line, pie and scatter; other types come back as images.
> - File limits vary by upload type, model, plan and workspace.

*Checked 4 November 2026 (CET) against OpenAI help center articles and chatgpt.com pages. ChatGPT changes often, so confirm plan details in your own account. "Our view" marks MentionX opinion. Ledgerline is a fictional company used for illustration.*

## How should you prepare an export?

OpenAI's data analysis article asks for descriptive headers in the first row, one row per record and no empty rows or columns splitting the data. For marketing exports, also:

- Delete the totals row at the bottom of GA4 and ad platform exports.
- Use one date format and say which it is (DD/MM or MM/DD).
- Keep currency in one column with a stated currency.
- Remove names, emails and any personal data from CRM exports.

## Which analyses are worth running?

| Question | Files | Prompt idea |
|---|---|---|
| Which channels drive qualified leads? | GA4 sessions + CRM leads | Join on date and source/medium, compute lead rate |
| Where does the funnel leak? | Event export by step | Step-to-step conversion by segment |
| Did the campaign work? | Daily metrics, campaign dates | Before/after with the same weekdays, plus caveats |
| Which ads to cut? | Ad platform export | Rank by cost per conversion with a minimum spend |
| Is AI referral traffic growing? | GA4 by source | Filter AI sources, trend weekly |

## Which prompts should you copy?

```
FIRST LOOK
Attached: [file]. Before analysing, describe the columns,
row count, date range, and any data problems (blanks,
duplicates, odd values). Don't calculate anything yet.
```

```
CHANNEL QUALITY
Join sessions.csv and leads.csv on date and source/medium.
For each channel with at least 200 sessions, show sessions,
leads, lead rate and change versus the previous period.
Show the code, then a table, then a bar chart of lead rate.
```

```
CAMPAIGN READ
Compare the 4 weeks before [date] with the 4 weeks after,
matching weekdays. Report the change in [metric] and list
other things that could explain it (seasonality, tracking
changes, other campaigns). Don't claim causation.
```

```
CHECK YOUR WORK
List every filter, join and assumption you used. Show the
row counts before and after each step.
```

*Our view:* the "first look" prompt saves the most time. Most bad analysis comes from a data problem nobody spotted, not from a wrong formula.

## How do you check the results?

Ask for the code. Look at the row counts after each join. Recompute one total in your spreadsheet. If a number will go to leadership, rebuild it in a sheet you own; ChatGPT then becomes the fast explorer, not the system of record.

For AI referral tracking, see [tracking AI traffic in GA4](https://mentionx.ai/learn/measurement/track-ai-traffic-ga4) and [the GA4 AI referrals channel group](https://mentionx.ai/learn/measurement/ga4-custom-channel-group-ai-referrals).

> **Pro move:** ask ChatGPT to write the analysis as a reusable script and save it in your project. Next month, upload the new export and say "run the same script".

## Worked example: Ledgerline's channel review

*Ledgerline is a fictional accounts-payable tool. Details are illustrative.*

Ledgerline uploaded a GA4 export and a CRM lead export. The first-look prompt found the CRM file used US date format and the GA4 file used UK format; fixing that changed which week the webinar leads landed in. The channel-quality table then showed organic search sent fewer sessions than paid social but had a much higher lead rate. The team recomputed the two lead rates in a spreadsheet, confirmed them and shifted next quarter's content budget.

## What should you check before the next lesson?

- Clean one export to the checklist above.
- Run the first-look and check-your-work prompts.
- Recompute one figure yourself.
- Claude users can compare [Claude CSV analysis for GA4 and ads](https://mentionx.ai/learn/claude/claude-csv-analysis-ga4-ads).

Next: [Deep research for competitive intelligence](https://mentionx.ai/learn/chatgpt/chatgpt-deep-research-competitive-intel). Or return to the [ChatGPT for Marketers track](https://mentionx.ai/learn/chatgpt/chatgpt-for-marketers).

## Common questions

**Can ChatGPT analyse a GA4 export?** Yes. Export a report to CSV or a spreadsheet, check the headers are in the first row and remove summary rows, then upload it and ask specific questions. ChatGPT runs Python on the file.

**Can I trust ChatGPT's numbers?** Check them. Ask it to show the code and the intermediate tables, and recompute one or two totals yourself in a spreadsheet.

**Does ChatGPT connect directly to Google Analytics?** Check the Plugin Directory for what is available to your plan and workspace. File exports are the dependable route and keep you in control of what is shared.

## Sources

- OpenAI Help Center, [Data analysis with ChatGPT](https://help.openai.com/en/articles/8437071)
- OpenAI Help Center, [Plugins in ChatGPT](https://help.openai.com/en/articles/20001256)
- OpenAI Help Center, [Data controls in ChatGPT](https://help.openai.com/en/articles/7730893)
All accessed 4 Nov 2026.

## Frequently asked questions

### Can ChatGPT analyse a GA4 export?

Yes. Export a report to CSV or a spreadsheet, check the headers are in the first row and remove summary rows, then upload it and ask specific questions. ChatGPT runs Python on the file.

### Can I trust ChatGPT's numbers?

Check them. Ask it to show the code and the intermediate tables, and recompute one or two totals yourself in a spreadsheet.

### Does ChatGPT connect directly to Google Analytics?

Check the Plugin Directory for what is available to your plan and workspace. File exports are the dependable route and keep you in control of what is shared.

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Written and reviewed by Dipuck Jones for MentionX Learn. The HTML version of this page: https://mentionx.ai/learn/chatgpt/chatgpt-data-analysis-marketing-exports