The Scenario
The customer experience director just forwarded you a calendar invite: executive presentation next Thursday, topic is "support trends Q1 vs. Q2." She wants a slide showing which issues are driving the most volume — broken down by tag — and she wants it as an Excel workbook she can hand to the analyst who builds the deck.
You know this data lives in Gorgias. You know tickets have tags. What you don't know is how long it's going to take to get from here to a clean, grouped workbook.
The bad version:
- Go to Gorgias reporting, find the filter for date range, apply it, look for an export option — discover the export doesn't include tags in the format you need.
- Export the raw ticket list into Excel, realize tags are in a single comma-separated cell per ticket.
- Spend two hours parsing the tag field, de-duping the tag names, doing a COUNTIF by tag, and formatting it so it doesn't look like a mess.
The presentation is next Thursday. The analyst needs it by Monday. Today is Thursday. Parsing a poorly-formatted tag export is not what this afternoon was supposed to be for.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It connects directly to Gorgias through its built-in integration, reads the ticket data for whatever date range you specify, groups by tag, and writes the result into your workbook. No export, no tag parsing, no intermediate steps.
List all Gorgias tickets from the past 30 days grouped by tag, showing each tag name in column A and the ticket count for that tag in column B — sort by count descending and write results starting at row 2
What You Get
- Each unique tag on its own row in column A, with the count of tickets carrying that tag in column B.
- Sorted highest to lowest so the top issues are immediately visible.
- If a ticket carries multiple tags, it contributes to the count for each one — consistent with how Gorgias itself counts tag volume.
- Tags with zero tickets in the date range are excluded automatically.
What If the Data Is Not Quite Ready
You want raw ticket details alongside the grouped summary
Fetch all Gorgias tickets from the last 30 days. Write the full ticket list in the "Raw" worksheet with ticket ID in column A, subject in column B, creation date in column C, and tags (comma-separated) in column D. Then write a grouped summary in the "By Tag" worksheet with tag name in column A and count in column B, sorted descending.
The director also wants first response time broken out per tag
Pull all Gorgias tickets from the last 30 days. In the "By Tag" worksheet, write each unique tag in column A, ticket count in column B, and average first response time in minutes in column C. Sort by count descending.
You need to compare two months side by side
Pull all Gorgias tickets from April 2026 and from May 2026. In the "Comparison" worksheet, write each unique tag in column A, the April count in column B, and the May count in column C. Leave column B or C blank if a tag only appeared in one month.
The full deck-ready pipeline: filter, group, rank, and flag the top three issues
Pull all Gorgias tickets from the last 30 days. Group by tag in the "Summary" worksheet: tag in column A, count in column B. Sort descending. In column C, write "Top Issue" for the three rows with the highest counts. Write the total ticket count for the period in cell E1.
One prompt does the pull, the grouping, the sort, and the annotation — the analyst gets a clean workbook, not a raw export.
Try It
Get the 7-day free trial of SheetXAI and open an Excel workbook where you'd build your next support review, then ask it to pull 30 days of Gorgias ticket data grouped by tag. For related work, see how to pull open tickets for triage or explore the full Gorgias integration overview.