How to Connect Re:amaze to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Re:amaze

You have an Excel workbook full of support data — tag counts, canned response copy, conversation volumes, SLA metrics. Getting it into Re:amaze, or pulling Re:amaze's reporting data back out, involves more friction than it should.

Re:amaze is good at routing conversations, surfacing canned responses, and tagging tickets across channels. But the moment you want that data analyzed anywhere outside Re:amaze, you're starting from scratch. The usual flow is opening the Re:amaze dashboard, exporting what you can to CSV, reformatting it in a new workbook, and repeating every time the numbers shift.

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

Method 1: Manual Copy-Paste or CSV Export

Open Re:amaze's reporting interface, navigate to the section you need — tags, templates, conversation volumes — and download a CSV if one exists. If not, you're reading numbers off the screen and typing them into cells.

For tags, that usually means going into each tag view, noting the count, building a sorted list row by row.

It works the first time. The third time, you're already dreading it. The fifth time, someone on the team starts cutting corners — fewer tags, rough sort order — and the numbers in the workbook stop matching what Re:amaze actually shows.

Method 2: Power Automate

Power Automate has Re:amaze connector support. You can trigger on conversation events or a schedule, hit the Re:amaze API, and write results into an Excel worksheet.

Before committing: do you know what a REST connector is? How to configure authentication tokens in Power Automate? What field mapping looks like when the source data is paginated? If those terms feel foreign, this is not the right path — skip to Method 3 or 4.

If you're confident building flows, the setup is manageable. Configure the trigger, authenticate to Re:amaze, map the response fields to Excel columns, and publish. The flow runs. The difficulty is maintaining it: Re:amaze API updates break silent field maps, edge cases in your data only surface in production, and debugging a failed flow run at the end of a quarter is exactly where you don't want to spend your time.

One structural limit worth flagging: event-based flows fire one record at a time.

If you need a full bulk pull — all 80 tags, all 200 templates — you're chaining 80 or 200 API calls, which runs into task limits and rate errors fast.

You probably just need the tag list. You probably have no idea how Re:amaze paginates its API responses — and you shouldn't need to. So it becomes an IT ticket, and now you're waiting.

Cost compounds once you chain steps. A simple flow becomes a multi-step flow, and you're paying for the Power Automate tier that supports it for a report you run monthly.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable Excel ↔ Re:amaze workflows was a category of add-ons that let you configure column mappings and saved templates. You picked your range, tagged your fields, saved a config, and ran it.

That was a genuine step up from CSV exports. Output was consistent, configs were reusable, and the team didn't have to redo formatting every run.

But you were still responsible for the template design, the field mapping, the schedule, the conditional logic. The tool moved the data. The thinking was still yours. And the moment Re:amaze renamed a field or you restructured your workbook, your config broke.

This is the previous generation. It worked, but it asked a lot of the operator.

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 Re:amaze integration it can push to or pull from Re:amaze for you. No template configuration, no automation glue, no manually reading tag counts off the dashboard. You just ask.

Example 1: Pull all Re:amaze tags into a sorted worksheet

Fetch all tags from my Re:amaze reports and list each tag name and its usage count in this worksheet, sorted by count descending

SheetXAI pulls every tag from Re:amaze, writes tag name to column A and usage count to column B, and sorts the result highest to lowest — all in one pass.

Example 2: Export response templates with a review column

Pull all Re:amaze canned response templates into this worksheet with one row per template, then add a "Review Status" column I can fill in as the team works through each one

The pattern: instead of exporting raw data and manually adding your tracking column, you ask for both in one prompt. SheetXAI handles the structure and the extra column in the same step.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook where you want to analyze Re:amaze data, then ask it to pull your tags or templates. The Re:amaze integration is included in every SheetXAI plan.