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PassCreator · Google Sheets Guide

Bulk Create Wallet Passes From a Google Sheet

2026-05-14
5 min read

The Scenario

It's Wednesday afternoon and you're the event coordinator for a conference running in 48 hours. The 'Attendees' tab has 500 rows: name in column A, email in column B, ticket tier in column C. Passcreator is set up with the 'Conference2025' template. What's not set up is a way to get those 500 rows turned into 500 personalised Apple Wallet event passes before doors open Friday morning.

The bad version:

  • Open Passcreator's UI and try to create passes one at a time, entering name and tier for each attendee from the sheet — around row 30 you start copy-pasting and lose your place.
  • Export a CSV, reformat the headers to match Passcreator's expected field names, upload the file, and discover that the 'ticket tier' column was mapped to the wrong field for 200 rows.
  • Spend two hours re-cleaning the CSV, re-uploading, and then manually voiding the first bad batch — which means 200 passes already sent to attendees need to be re-issued.

The conference is in 48 hours. Voiding and reissuing 200 passes when emails have already gone out is not a recoverable situation — it's a 6 AM support fire the morning of the event.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Google Sheet. It reads your attendee data and talks to Passcreator for you — no CSV exports, no field mapping panels, no reformatting. You describe what you want and it handles the calls.

For each row in the 'Attendees' tab, create a Passcreator wallet pass using the 'Conference2025' template, setting the name from column A and ticket tier from column B as pass fields

What You Get

  • One Passcreator pass created per row, using the template and field values exactly as they appear in the sheet.
  • The returned pass ID written into column D for each attendee — your record of what was issued.
  • Any rows where creation failed (missing name, unrecognised tier value) flagged in column E with the error reason, so you can fix and rerun just those rows.
  • A count in the summary cell at the top: 500 attempted, 498 succeeded, 2 flagged.

What If the Data Is Not Quite Ready

The ticket tier values don't match the template field options

Passcreator's 'Conference2025' template expects "General", "VIP", or "Speaker" — but column C has a mix of "general", "vip ", and "speaker (keynote)".

Before creating passes, normalise column C: lowercase "general" → "General", trim any trailing whitespace from "vip ", and map "speaker (keynote)" → "Speaker". Then create Passcreator passes for each row using the corrected tier values.

Some rows are missing the attendee name

A registration import left 18 rows in the 'Attendees' tab where column A is blank — probably placeholder signups that weren't completed.

Skip any rows where column A is blank and flag them in column F as "incomplete — name missing". Create passes for all other rows and write pass IDs into column D.

You need to join a dietary preference from a second tab

The 'Dietary' tab has email in column A and preference in column B. You want to include that preference as a note field on the pass, but it's not in the main 'Attendees' tab.

Join the 'Dietary' tab on email (column B in 'Attendees', column A in 'Dietary') and include the matched dietary preference as the "notes" field when creating each Passcreator pass. Where no match exists, leave the notes field blank.

Full cleanup and issue in one shot

The attendee list has normalisation issues, blank rows, and a second tab to join — and you need passes issued by tomorrow morning.

In the 'Attendees' tab: skip rows where column A is blank and flag them in column F. Normalise column C so "general" → "General", trim whitespace from "vip ", and map "speaker (keynote)" → "Speaker". Join dietary preference from the 'Dietary' tab on email. Then create a Passcreator wallet pass for each remaining row using the 'Conference2025' template with name from A, tier from C, and dietary note from the join. Write pass IDs into column D and any errors into column E.

The pattern: normalise, join, and issue in a single instruction rather than treating them as three separate tasks.

Try It

Get the 7-day free trial of SheetXAI and open your attendee sheet, then ask it to create Passcreator passes for every row — even if the data needs cleanup first. See also: sending push notifications to pass holders and the PassCreator integration overview.

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