How to Connect Microsoft Clarity to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Microsoft Clarity

You have an Excel workbook full of data — page URLs, historical session benchmarks, click audit results, UX sprint priorities. You need Clarity's behavioral data pushed into it, or your existing workbook data used to cross-reference what Clarity is flagging, in a way that doesn't eat your afternoon every time.

Clarity is good at showing you where users rage click, where they stop scrolling, and which pages are quietly bleeding engagement. But the gap between "I can see it in the Clarity dashboard" and "I have it in a workbook my team can act on" is wider than it looks. The usual flow with Excel is: export a CSV from Clarity, open it separately, reformat the columns, paste into your workbook, and then wonder why the numbers look different from last week's run.

Below are the four common ways teams close that gap. Only the last one scales.

Method 1: Manual Copy-Paste

The default with Excel is slightly different — most people start with a CSV export from Clarity rather than typing values by hand. Open Clarity, filter to your date range, export what's available, open the CSV, reformat the headers, paste into your workbook.

For a one-time audit, that's a reasonable workflow. But when the behavioral report is supposed to happen every week — same pages, same metrics, slightly different numbers — the CSV-export-reformat-paste loop becomes its own job. Clarity's export schema doesn't always match the column layout your workbook expects, so you're fixing header names and column order before you can even start the analysis. The data ends up correct eventually, but the path to correct is longer every time you run it.

Method 2: Power Automate

Power Automate has Microsoft Clarity connector support, which makes sense on paper — both are Microsoft products. You can configure a scheduled flow that calls the Clarity API and writes the output into an Excel workbook stored in OneDrive or SharePoint.

Quick check before we go further — are you comfortable with Power Automate flows? Do you know what a connector action is, what "dynamic content" means in the flow builder, or how to handle a paginated API response? If those don't land, this is the wrong path for you right now. Method 4 will take you thirty seconds instead.

For the people still here: the setup is real. You authenticate the Clarity connection, configure the flow trigger, map each API field to a column in your workbook, handle pagination if you have many pages, and test it. When it works, you have a repeatable pull.

The structural limit is that it fires one record at a time. Aggregating across all pages, sorting by rage click rate, classifying by engagement tier — none of that is built into the flow. You're getting rows of data, and the analysis layer is still yours to build separately.

You probably just need the behavioral data sorted by friction, and you probably have no idea how Power Automate handles paginated API responses. So you open a ticket with IT, or you ask the one person on your team who builds flows, and now the UX prioritization meeting is tomorrow and the workbook is still empty.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the most repeatable option for pulling Clarity data into Excel was a category of add-ons that let you save field mapping configs and rerun them on demand. You defined your columns, set your date range, saved the template, ran it when you needed fresh numbers.

That was genuinely better than the CSV export loop. The column structure held. The team could run the same report without rebuilding it from scratch each time.

But you still owned every decision: which fields to pull, how to sort, what the flagging thresholds should be. The mechanics of data transfer were handled, but the analytical logic was never part of the tool. And when Clarity updated its API or your site structure changed, someone had to go back in and rebuild the mapping before the report would run again.

This is the previous generation. It worked, but it didn't think.

The Easy Way: Using SheetXAI in Excel

There is a different way entirely. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands what you are looking at, and through its built-in Microsoft Clarity integration it can pull behavioral data from Clarity for you. No field mapping, no automation plumbing, no reformatting CSVs. You just ask.

Example 1: Build a prioritized friction report for the dev team

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

The logic runs with the data pull. You get the raw numbers and the flag in one pass — no secondary formula step, no conditional formatting setup after the fact.

Example 2: Benchmark engagement across product pages

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%

Instead of pulling numbers and then deciding which ones need attention, you describe what "needs attention" looks like and the agent handles both steps together.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook you use for site performance tracking or UX audits, then ask it to pull Clarity's latest behavioral data and flag the pages your team should look at first. The Microsoft Clarity integration is included in every SheetXAI plan.