The Scenario
You ran a 4-part summit series. Each day was a separate Eventbrite event, and some attendees bought tickets to all four while others came to one or two. Your community manager wants to know how many unique individuals attended across the series and how many came to more than one session. Right now, the answer is buried across four separate order lists in Eventbrite, with no clean way to see a person across events.
The bad version:
- Export the order list for Day 1 as a CSV and paste it into a worksheet in your Excel workbook.
- Repeat for Days 2, 3, and 4 — four worksheets, four different column layouts, four different timestamp formats.
- Try to write a VLOOKUP across all four worksheets to find duplicate emails. When the email format differs across events (lowercase vs capitalised), your lookup misses matches.
- Realise the community manager also wants a count of how many events each person attended, and a COUNTIF across four worksheets with inconsistent schemas is not something you have time for on a Friday afternoon.
This is the kind of analysis that should take fifteen minutes. It's currently taking all day.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook and — through its built-in Eventbrite integration — can pull all orders across your organisation's events, normalise the data, and build the deduplication logic for you, without any manual exports.
Fetch all orders for Eventbrite organization ID '444555666' and paste them into this sheet with order ID, buyer email, event name, ticket type, and order date columns.
SheetXAI pulls every order across every event in the organisation and writes them into a single flat table. Same schema, same formatting, ready for analysis.
What You Get
- One row per order across all events, with a consistent column structure.
- Buyer email normalised to lowercase so cross-event matching is accurate.
- Event name included in each row so you can distinguish Day 1 from Day 4 without switching worksheets.
- Any order with a missing email flagged rather than silently included in the dedup.
What If the Data Is Not Quite Ready
You want the unique-attendee view built automatically after the pull
Fetch all orders for Eventbrite organization ID '444555666', paste the full order list into the 'All Orders' worksheet, then create a 'Unique Attendees' worksheet with one row per email address and a count of how many events each person attended.
Some people registered under different emails across days
After building the unique-attendee list, flag any email addresses that appear in the full name column with a slight variation (e.g. same first/last name but different email) so they can be reviewed for manual merging.
You only want attendees who came to 3 or more sessions
From the full order list for Eventbrite organization ID '444555666', create a 'Multi-Session Attendees' worksheet with only those individuals who attended 3 or more of the 4 events, showing their email, name, and event count.
Pull all orders, deduplicate, flag multi-day attendees, and build a summary in one shot
Fetch all orders for Eventbrite organization ID '444555666', paste the full list into the 'All Orders' worksheet, build a 'Unique Attendees' worksheet with per-email event counts, flag anyone who attended 3 or more sessions in a 'Loyal Attendees' column, and add a summary row showing total unique attendees and average events attended.
One prompt builds the raw data, the dedup view, the loyalty flag, and the summary — not four separate steps.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook you're using for post-series analysis, then ask it to pull and deduplicate your Eventbrite order history. You can also explore building a cross-event ticket-type report or the organisation-wide sales report from the same integration.