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 Explore interface lets you export a CSV, but the export has no headers on the first three rows, uses a flat format that does not match your sheet's column structure, and caps at 250 rows even though you have 47. It would work if you just needed the numbers once, but this report runs every quarter.
The bad version of this week:
- Open GA4 Explore, configure dimensions and metrics, set the date range, export
- Open the CSV in a second window, delete the junk rows at the top, fix the headers
- Paste the data into your Google Sheet, manually align the columns
- Realize the page path dimension strips the domain and your sheet needs it included
- Re-export with the adjusted dimension, paste again
- Sort by conversions, realize two landing page rows have null bounce rate and you are not sure whether to drop them or impute
- 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 Google Sheet that reads your instructions and calls the GA4 API directly, so you do not have to touch the Explore interface at all.
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 Sheet1 starting at A1. Include a header row. 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 with correct column headers, sorts the output, flags the null rows, and writes it all into your sheet. The null row question is answered inline.
What You Get
A clean, ready-to-use performance table with:
- Column headers in row 1 — Page Path, Sessions, Users, Bounce Rate, Conversions, Data Quality
- 47 rows — one per landing page, sorted by conversions descending
- Data Quality column — flagging any rows with null or zero bounce rate so you can decide how to handle them
- No reformatting needed — the column structure matches whatever you already have in the sheet
The sort happens at the data layer, not after the fact. You do not paste a messy CSV and then sort it yourself — SheetXAI returns the data already ordered the way you need it.
You can tell SheetXAI to also calculate conversion rate per page (conversions ÷ sessions) and add it as a fifth metric column. One more line in the same prompt.
What If the Data Is Not Quite Ready
Most real GA4 properties have quirks in how pages are tracked. SheetXAI handles cleanup and the report in the same prompt.
When page paths have inconsistent trailing slashes
GA4 sometimes logs /pricing and /pricing/ as separate rows. Your sheet ends up with duplicate entries for the same page.
Pull sessions, users, bounce rate, and conversions by page path for the last 90 days from my GA4 property. Before writing to Sheet1, normalize page paths by removing trailing slashes and consolidate duplicate rows by summing sessions and users and averaging bounce rate. Write the deduplicated table starting at A1.
When you only want pages above a traffic threshold
You have 47 landing 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 Sheet1 starting at A1, sorted by conversions descending.
When the bounce rate column needs context
Raw bounce rate is hard to act on without knowing the page category. Your sheet has a lookup table on the Categories tab matching page paths to categories.
Pull sessions, users, bounce rate, and conversions by page path for the last 90 days from my GA4 property. Write the results into Sheet1 at A1. 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 have not looked at the landing page data yet this quarter. You need the raw numbers, the conversion rate calculated, 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 raw data into Sheet1 at A1 with headers. Calculate conversion rate (conversions ÷ sessions) in column F. Bold the top 5 rows by conversions. Add a "Review" flag in column G for the five rows with the worst bounce rate above 200 sessions. Then write a two-sentence summary of the overall picture into cell A52.
The pattern: instead of pulling the data first and then doing the analysis, you ask for both in one prompt. The sheet is ready for Friday, not half-ready.
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 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.