Export Microsoft Clarity Rage Click Data Into an Excel workbook

The Scenario

You're three days into a sprint planning cycle and someone just pinged you in Slack: "Can you send me the pages with the most rage clicks? We're trying to decide what to fix first." You've got an Excel workbook where you track UX issues — columns for page URL, issue type, priority, and status — but the rage click numbers aren't in it. They're in Clarity, locked behind the dashboard, and the last time you exported them you spent forty minutes wrestling with a CSV that didn't match your workbook's column layout.

The bad version of handling this request looks like:

1. Log into Clarity, filter to the last 30 days, export the available data as a CSV, open it in Excel, reformat the headers, and paste the relevant columns into your UX tracker workbook — noticing that Clarity's URL format includes query strings your workbook doesn't use.
2. Realize you also need dead click counts, go back to Clarity, find the right view, export a second CSV, repeat the reformat-and-paste loop for a second column.
3. Sort the workbook manually, notice two rows have inconsistent URL formats so the sort breaks, fix those, re-sort, and then share the file twenty minutes after the person needed it.

Your job in this sprint is to define the fix backlog, not to transcribe behavioral data. The team is waiting on your prioritization, not on you reformatting dashboard exports.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives directly inside your Excel workbook. It reads the workbook you're working in, connects to Microsoft Clarity through its built-in integration, and pulls the behavioral data you ask for — writing it straight into your columns without a CSV export in sight.

Open the workbook where you track UX issues and type this into the SheetXAI sidebar:

Pull Clarity data for the last 14 days for our website, write page URL, total sessions, rage clicks, and dead clicks into this Excel sheet, then in column F write 'review' for any page where rage clicks exceed 5% of sessions

What You Get

• Column A fills with page URLs exactly as Clarity tracks them, no manual reformatting needed
• Columns B through E populate with total sessions, rage click count, dead click count, and a calculated rate
• Column F gets the 'review' flag for any page where rage clicks exceed 5% of sessions — the conditional logic runs with the data pull, not after
• Rows arrive ready for your dev team to act on without a secondary sort or filter step

What If the Data Is Not Quite Ready

The URLs in my workbook don't match how Clarity tracks them

Your workbook might store clean slugs like /pricing while Clarity logs full URLs like https://yoursite.com/pricing?utm_source=email. Ask SheetXAI to normalize:

Export Clarity rage click and dead click data for the past 30 days, strip query parameters from all URLs before writing them to column A, and write session count, rage clicks, and dead clicks into columns B–D sorted by rage click count descending

I only want pages above a certain session volume

Low-traffic pages skew the rage click rate even when the raw count is small. Scope the pull:

Pull Clarity data for the past 30 days, write page URL, sessions, rage clicks, and dead clicks into columns A–D, but only include pages with more than 50 sessions in the period — sort by rage click count descending

My workbook tracks pages by internal name, not URL

If column A already has display names like "Pricing Page" or "Homepage," you need Clarity data matched to those labels:

Look up each page name in column A against the URLs in column B, fetch Clarity rage click and dead click counts for the past 30 days for each matching URL, and write the results into columns C and D

Pull the full friction picture and flag the worst offenders in one shot

Export Clarity data for the past 30 days — write page URL, session count, rage click count, dead click count, and average scroll depth into columns A–E, sort by rage click count descending, and in column F write 'escalate' for any page where rage clicks exceed 8% of sessions or dead clicks exceed 15% of sessions

One prompt, one pass — sorted data and the flags your dev team needs to decide what goes into the sprint.

The pattern: describe the filter condition and the output shape together so SheetXAI handles the conditional logic inline rather than leaving it for you to add with formulas after the fact.

Try It

Get the 7-day free trial of SheetXAI and open the Excel workbook where you track UX issues or site friction — then ask it to pull this week's Clarity rage click data sorted by severity. For related tasks, see Build a Page Engagement Benchmark Sheet From Microsoft Clarity in Excel or the Microsoft Clarity integration overview.