The Scenario
You manage support ops for a SaaS company with 30 people and somewhere north of 400 active customers. Every quarter, the head of product asks the same question: what are the top issue categories driving ticket volume?
You know the answer lives in Re:amaze. Somewhere in the reporting interface there's a tag list with counts. But pulling it into something usable has always meant opening the dashboard, clicking through each tag view, noting numbers, and then building a sorted workbook by hand — and by the time you've finished, the counts have already moved.
The bad version:
- Navigate to Re:amaze reports, find the tag view, and manually record each tag name and its usage count into a new worksheet row by row
- Realize partway through that Re:amaze is paginating the list and you've missed 12 tags from earlier pages
- Sort the list manually, notice your counts don't add up to total conversation volume, and have no clean way to verify which tags you missed
Your head of product needs this in their deck by Thursday. Manually rebuilding a tag report every quarter isn't something you can scale — and the error rate on hand-copied numbers is the kind of thing that gets noticed in a product review.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that sits inside your Excel workbook. It reads your workbook and talks to Re:amaze on your behalf — no exports, no dashboard clicking, no pagination math.
Fetch all tags from my Re:amaze reports and list each tag name and its usage count in this worksheet starting at A1, sorted by count descending, with a "Share %" column in column C showing each tag's count as a percentage of the total tagged conversations
What You Get
- Column A: tag name, one row per tag, all pages included
- Column B: usage count, pulled directly from Re:amaze reporting
- Column C: share percentage, calculated across the full tag population
- Rows sorted highest to lowest by count — ready to hand to product without reformatting
What If the Data Is Not Quite Ready
The tag names in Re:amaze don't match the category names in my workbook
Fetch all Re:amaze report tags and import them into this worksheet, then add a "Normalized Category" column in column D where you match each tag to the category names in the lookup table on the "Categories" sheet using the closest name
Some tags have zero uses this quarter and I want to exclude them
Pull all Re:amaze report tags into this worksheet but only include tags with a usage count greater than 0, then sort by count descending in column B and add the share % in column C
I need to join the tag report with the SLA data already in this workbook
Fetch all Re:amaze tags and their counts, then match each tag to the corresponding row in the "SLA Targets" sheet using the tag name, and write the usage count into column D of that sheet next to each tag's SLA goal
I want the full picture in one shot — tag audit, cleanup, and the final sorted output
Fetch all Re:amaze report tags, remove any tags that contain "test" or "internal" in the name, normalize the remaining names to lowercase, calculate the share % of total conversations for each, and write the final sorted list into this worksheet starting at A1 with headers: Tag, Count, Share %
Cleanup and analysis in one prompt — ask for what you actually want rather than what you can manually assemble.
Try It
Open an Excel workbook where you're tracking support operations, then get the 7-day free trial of SheetXAI and ask it to pull your Re:amaze tag report. You can also look at how to export Re:amaze response templates for a content audit or see the full Re:amaze integration overview.