How to Connect Simple Analytics to Excel (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of Simple Analytics

You have an Excel workbook full of traffic data — monthly visitors, top pages, bounce rates, referrer breakdowns. Or you have a workbook of conversion events that need to make it into your analytics dashboard. Simple Analytics stores what you need. Getting it into your workbook — or pushing data the other direction — means navigating their export UI, picking a date range, downloading a CSV, opening it in Excel, cleaning the headers, and pasting it into the right worksheet. Every reporting period, from scratch.

Simple Analytics is built for clean, privacy-respecting web analytics. But the gap between its dashboard and your Excel workbook is wider than it should be. The default flow is: open the panel, set dates, export CSV, import into Excel, fix the column order, paste — and repeat that for every site and every period you're tracking.

Below are the four common ways teams handle this. Only the last one scales.

Method 1: Manual Copy-Paste (or CSV Import)

For Excel users, the default is usually the CSV route: open the Simple Analytics dashboard, set a date range, download the export, open it in Excel — where you're immediately dealing with a separate workbook — copy the data you actually need, and paste it into the right worksheet in your main file.

If you're tracking multiple sites or multiple date periods, that's one CSV per site per period.

The ritual hardens quickly into a chore. Headers shift between exports. The bounce rate column shows up in a different position depending on whether you're pulling aggregated or raw data. You paste into the wrong worksheet once, and now the chart on the next sheet is pulling from stale numbers — and nobody notices until the client review.

Method 2: Power Automate

Power Automate has HTTP connectors that can hit the Simple Analytics API on a schedule and write the results into an Excel worksheet via the Excel Online connector. That combination works, in principle.

A fair question first — are you comfortable with HTTP actions, JSON parsing, dynamic expressions, and the Excel Online "Add a row into a table" action? If those feel like a foreign language, this is not the path. Method 4 will get you there faster.

If you are: you'll configure a scheduled cloud flow, authenticate to Simple Analytics with an API key in a header, call the stats endpoint, parse the JSON body with expressions, and map each field into an Excel table column. It runs. The maintenance burden is real — Power Automate expressions for JSON parsing are brittle, and when the Simple Analytics response shape changes, the flow fails silently until someone notices the worksheet stopped updating.

A scheduled flow also fires once per run.

If you want month-by-month stats for the past year, you're either running 12 separate flows or building a loop with variables inside the flow — which is possible but not simple.

You probably just need the 2025 traffic data in one table. You probably have no idea how to wire an Apply-to-each loop in Power Automate, and that's completely reasonable. So you send a message to whoever manages your automations, and now you're waiting while the quarterly review prep stalls.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the most reliable option for repeatable analytics-to-Excel workflows was a category of add-ins that let you configure a saved query — endpoint, date range, output columns — and re-run it on demand. You picked your settings once and ran it when you needed fresh data.

That was a real step up from the CSV import dance. Consistent output, reusable configs, no reformatting on every pull.

But you were still responsible for everything about the template: the field names, the date format, the column order, what to do when a field went missing. The add-in moved the data — all the logic about what to get and how to structure it stayed on you. And when Simple Analytics changed a response key, your config broke until someone went back in and fixed the field mappings manually.

This is the previous generation. It worked. It just didn't get smarter over time.

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're looking at, and through its built-in Simple Analytics integration it can pull stats, export raw data, or push events for you. No template configuration, no API key juggling, no expression debugging. You just ask.

Example 1: Pull monthly traffic stats for a client report

Get Simple Analytics monthly stats for clientsite.com for each month of 2025 and list month, unique visitors, pageviews, and bounce rate in columns A through D of the "Traffic" sheet, starting at row 2.

SheetXAI calls the Simple Analytics aggregated stats endpoint, parses the monthly breakdown, and writes 12 rows into the specified worksheet — one per month, fields aligned to the columns you named.

Example 2: Pull raw pageview data filtered to a specific section

Export all Simple Analytics raw pageview data for clientsite.com from the last 30 days filtered to only rows where the page URL contains "/blog" — put page URL, referrer, and timestamp into the "Raw Data" sheet.

The pattern: instead of downloading an unfiltered export and cleaning it afterward, you describe both the filter and the destination in one prompt. SheetXAI handles the scoping inline.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook where you track web traffic or site performance, then ask it to pull Simple Analytics stats for a site into a worksheet. The Simple Analytics integration is included in every SheetXAI plan.