The Scenario
You are a growth marketer. Quarter-end is tomorrow and your head of product wants a single table showing last quarter's sessions, users, bounce rate, and goal completions for every landing page — sorted by conversions, ready to prioritize the CRO backlog in the Friday planning session.
Your GA4 property has 47 landing pages in the report. The GA4 Explore interface exports a CSV, but the file opens in Excel with junk rows at the top, column headers that do not match your workbook's structure, and a flat format that requires manual reformatting before it is usable.
The bad version of this week:
- Open GA4 Explore, configure the report, set the date range, export CSV
- Open the CSV in Excel, delete the junk rows, rename the headers
- Copy the data into your main workbook, align the columns
- Realize the page path dimension strips the domain — your workbook needs it included
- Re-export with the adjusted dimension, repaste
- Sort by conversions, notice two rows have null bounce rate and no guidance on whether to drop them
- You walk into Friday planning with a half-finished table and no answer on the null rows.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook that calls the GA4 API directly, so you do not have to open the Explore interface or import a CSV.
Open the SheetXAI sidebar and type:
Pull sessions, users, bounce rate, and conversions broken down by page path for the last 90 days from my GA4 property and write everything into the Landing Pages tab starting at row 2. Include a header row in row 1. Sort by conversions descending. If any rows have a null bounce rate, flag them in a column called Data Quality.
SheetXAI calls the GA4 Data API, structures the report, sorts the output, flags the null rows, and writes it all into your workbook. The null row question is answered inline.
What You Get
A clean, ready-to-use performance table in the Landing Pages tab with:
- Row 1 — headers: Page Path, Sessions, Users, Bounce Rate, Conversions, Data Quality
- 47 rows of data — one per landing page, sorted by conversions descending
- Data Quality column — flagging any rows with null bounce rate so you can decide how to handle them
- No reformatting needed — the column structure lands exactly as specified
The sort happens at the data layer. You do not paste a messy CSV and sort it afterward — the data arrives already ordered.
If you also want a conversion rate column (conversions ÷ sessions), add that to the prompt. It lands in the same pass.
What If the Data Is Not Quite Ready
Real GA4 properties have tracking quirks. SheetXAI handles them inline.
When page paths have inconsistent trailing slashes
GA4 sometimes logs /pricing and /pricing/ as separate rows. Your workbook ends up with near-duplicate entries.
Pull sessions, users, bounce rate, and conversions by page path for the last 90 days from my GA4 property. Before writing to the Landing Pages tab, normalize page paths by removing trailing slashes and consolidate duplicate rows by summing sessions and users, averaging bounce rate. Write the deduplicated table starting at row 2 with headers in row 1.
When you only want pages above a traffic threshold
You have 47 pages but only the top performers matter for CRO prioritization.
Pull sessions, users, bounce rate, and conversions by page path for the last 90 days. Filter to pages with more than 500 sessions. Write only those rows into the Landing Pages tab starting at row 2, sorted by conversions descending.
When you need to add a category lookup from another tab
Your workbook has a Categories tab matching page paths to page categories. You want that column added to the report.
Pull sessions, users, bounce rate, and conversions by page path for the last 90 days and write the results into the Landing Pages tab starting at row 2. Then look up each page path in the Categories tab and add a Category column next to Page Path.
When you want the full analysis in one shot
You need the raw numbers, a conversion rate column, the top five highlighted, and the bottom five flagged — all before Friday.
Pull sessions, users, bounce rate, and conversions for all landing pages from my GA4 property for the last 90 days. Write the data into the Landing Pages tab at row 2 with headers in row 1. Calculate conversion rate (conversions ÷ sessions) in the next column. Bold the top 5 rows by conversions. Add a "Review" flag in the last column for the five rows with the worst bounce rate above 200 sessions. Write a two-sentence summary of the overall picture into cell A52.
The pattern: instead of a CSV import cycle that repeats every quarter, you describe the report you need once and SheetXAI produces it from the API.
Try It
Get the 7-day free trial of SheetXAI and ask it to pull last quarter's landing page performance from your GA4 property into your workbook. The Google Analytics integration is included in every SheetXAI plan. See also how to export a GA4 channel breakdown for budget attribution in Excel or the Google Analytics in Excel overview.