Build a Page Engagement Benchmark Sheet From Microsoft Clarity in Excel

The Scenario

It's mid-quarter and you're staring at a product roadmap meeting scheduled for next week. Your job is to walk the team through which pages are working and which ones users are bouncing off before they hit the CTA. You have a list of forty product pages in an Excel workbook — URLs in column A, nothing else filled in yet. You know Clarity has scroll depth and session data for all of them. You've been meaning to pull it for two weeks, and now you have four days.

The bad version:

1. Open Clarity, switch to the Pages view, export the data as a CSV, open it in a separate Excel file, reformat headers to match your workbook's column names, copy the relevant columns, and paste them into your tracker — then discover the export only covers the last 7 days and you need 60.
2. Run the export again with a different date range, realize Clarity caps how many rows appear per export, split the pull across multiple exports, and spend an hour stitching four separate CSV files together.
3. Manually add a classification column — 'high engagement', 'medium engagement', 'low engagement' — because the raw export has no conditional logic built in.

You're supposed to be drawing conclusions from this data, not managing an import pipeline. The meeting is Thursday and the stakeholders want the chart, not the story of how you built it.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Excel workbook. It reads your existing data — the URLs already in column A — connects to Microsoft Clarity, and writes back the behavioral metrics you ask for. You describe what you need and it handles the retrieval and the classification logic in a single pass.

With your product page URLs already in column A, open the SheetXAI sidebar and paste:

Export Clarity data for all pages over the past 60 days and write URL, session count, average scroll depth, average time on page, and click count into this sheet — highlight in red any page where average scroll depth is below 30%

What You Get

• Columns B through E fill with session count, average scroll depth, average time on page, and click count for each URL in column A
• Any page where average scroll depth falls below 30% gets a red highlight applied to its row automatically — no conditional formatting rule to set up afterward
• All forty pages are covered in a single pull, no CSV stitching required
• The data is in the shape your workbook already uses, not in the shape Clarity's export produces

What If the Data Is Not Quite Ready

Some pages have almost no traffic and are skewing the benchmark

When you're setting engagement benchmarks, a page with twelve sessions shouldn't pull the average down. Filter it out:

Export Clarity session and scroll depth data for the past 60 days for all pages with more than 100 sessions, write URL, sessions, scroll depth, and average time on page into columns B–E, and highlight in red any page where scroll depth is below 30% — skip pages below the session threshold entirely

I need to compare this period against the previous one

Two-period comparisons are where the manual approach collapses — double the exports, double the reformatting. One prompt handles it:

Pull Clarity scroll depth and session data for the past 30 days and for the 30 days before that, write both periods' scroll depth into columns C and D with headers 'Scroll Depth (This Period)' and 'Scroll Depth (Last Period)', and in column E write 'improving', 'declining', or 'stable' based on the difference

My workbook only has some of the URLs and I want Clarity to fill in the rest

Export all pages from Clarity for the past 60 days that had more than 50 sessions, write page URL, session count, scroll depth, click count into columns A–D starting at row 2, and add a column E that classifies each page as 'high engagement', 'medium engagement', or 'low engagement' using scroll depth thresholds of 60% and 30%

Build the full benchmark and flag CTA drop-off pages in one shot

Export Clarity data for all pages over the past 60 days, write URL, session count, average scroll depth, average time on page, and click count into columns A–E, add a column F classification using scroll depth thresholds of 60% and 30%, and in column G write 'CTA risk' for any page where average scroll depth is below 40% and session count is above 200 — highlight those rows in orange

The approach: ask for the data, the classification, and the CTA risk flag in one instruction so the analysis is done when the data arrives.

Try It

Get the 7-day free trial of SheetXAI and open the Excel workbook you use for product page performance — then ask it to pull Clarity's scroll depth data for all your pages and classify them before Thursday's roadmap meeting. For related tasks, see Segment Microsoft Clarity Behavioral Data by Device Into an Excel workbook or the Microsoft Clarity integration overview.