The Scenario
You are an e-commerce product manager. Your checkout conversion rate has dropped three points since the last release and your VP wants to know exactly where users are falling out.
You need a funnel report showing product view → add to cart → checkout start → purchase for the last 30 days. GA4's Explore interface has a Funnel Exploration template, but it takes six steps to configure, does not export into a format your sheet can use directly, and every time someone on the team needs to re-run it for a different date range they have to go through the same six steps again.
The bad version of finding the drop-off:
- Open GA4 Explore, create a new Funnel Exploration
- Define all four steps by event name, set the date range
- Export to CSV — GA4 exports funnel data in a shape that requires manual reformatting
- Open the CSV, reformat rows so each step is one row with user count and drop-off percentage
- Calculate the drop-off percentages yourself because the CSV gives you step counts, not rates
- Realize the
add_to_cartstep name in GA4 does not match what your developers logged (add_item_to_cart) — you go back and redefine step 2 - By the time the table is ready, the VP has already moved on to guessing.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet that can run a GA4 funnel report and write the results directly into your sheet — no manual reformatting, no step re-definition in a UI.
Open the SheetXAI sidebar and type:
Run a GA4 funnel report for the last 30 days with these steps: view_item, add_to_cart, begin_checkout, purchase. Write each step into its own row in my Google Sheet with columns for Step Name, Users, and Drop-Off Percentage from the previous step. Start at A1 with headers.
SheetXAI calls the GA4 API, runs the funnel query, calculates the drop-off percentage between each consecutive step pair, and writes the formatted table into your sheet.
What You Get
A clean four-row funnel table:
- Step Name — the event name for each funnel step
- Users — the count of users who reached that step in the last 30 days
- Drop-Off % — the percentage of users from the previous step who did not proceed
- Headers in row 1 — ready to turn into a chart without any reformatting
The drop-off percentages are calculated inline. You do not add a formula column after the fact — the numbers land in the sheet complete.
If you want a visual funnel chart in the same sheet, tell SheetXAI to add one after writing the table. It will create a bar chart from the data it just wrote.
What If the Data Is Not Quite Ready
Funnel configurations in GA4 often need adjustment for real tracking setups. SheetXAI handles that in the same prompt.
When event names do not match what you expect
Your developers logged add_item_to_cart instead of add_to_cart. You are not sure of the exact event name until you check.
First, list all event names that contain the word "cart" from my GA4 property for the last 30 days. Then run a funnel report using view_item, the cart event name you found, begin_checkout, and purchase. Write the funnel table at A1 with Step Name, Users, and Drop-Off %.
When you want the funnel broken down by device
You suspect mobile has a different drop-off profile than desktop.
Run the funnel report for view_item → add_to_cart → begin_checkout → purchase for the last 30 days. Break the results down by device category (desktop, mobile, tablet). Write three side-by-side funnel tables in my Google Sheet — one per device category — starting at A1, E1, and I1.
When you want to compare the funnel before and after a release
Your release went out on the 15th of last month. You want the funnel for the first half versus the second half.
Run two funnel reports for view_item → add_to_cart → begin_checkout → purchase: one for the first 15 days of last month and one for the last 15 days. Write both tables side-by-side starting at A1, with a column showing the change in drop-off percentage for each step.
When the raw event data needs cleanup before the funnel runs
You know that bot traffic inflates your view_item numbers because several rows in your session data show engagement time of zero seconds.
Before running the funnel, filter out sessions with engagement time under 2 seconds from the GA4 data for the last 30 days — those are likely bot traffic. Then run the funnel report for view_item → add_to_cart → begin_checkout → purchase on the cleaned session set and write the results at A1.
The pattern: instead of configuring the funnel in GA4's UI, re-exporting, and reformatting, you describe what you need and get a clean table. The analysis starts before the meeting does.
Try It
Get the 7-day free trial of SheetXAI and ask it to run your checkout funnel from GA4 into any sheet you have open. The Google Analytics integration is included in every SheetXAI plan. See also how to export a GA4 channel breakdown for budget attribution or the Google Analytics in Google Sheets overview.