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World desk4 min

Event Tickets Plus Data: What to Inventory Before You Move

Event Tickets Plus separates WooCommerce ticket products, attendee records, order history, and custom attendee information. Inventory each layer and its relationships before mapping data to a replacement.

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Before moving away from Event Tickets Plus, inventory more than WooCommerce orders. The integration represents each ticket type as a WooCommerce product, each issued ticket as a separate attendee record, and links those records to products, orders, order items, and events. Custom attendee questions have both configured field definitions and submitted answers to account for.

How Event Tickets Plus represents a ticket purchase

A WooCommerce ticket is a product associated with an event. When tickets are issued, Event Tickets Plus creates attendee records separately from the product and records relationships among the attendee, ticket product, order, order item, and event. That means a product export or order export by itself may not represent the full ticket data set.

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The documented model is useful for planning an inventory, but it does not establish that a particular replacement system imports these records or relationships. Treat the categories below as items to map and reconcile against the destination.

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Which records and settings to inventory

Data category What the documentation describes What to check for a move
Ticket product A ticket is a WooCommerce product linked to an event. Ticket settings can include price, SKU, stock or capacity settings, and ticket sale dates. Record product IDs, event association, and relevant settings. Decide how each ticket product will map to a destination ticket type; do not assume product data includes attendee records.
Attendee ticket For each ticket quantity, the integration creates an attendee record with product, order, order-item, and event links, as well as opt-out, security-code, paid-price, and currency metadata. Reconcile issued tickets against attendee records where applicable. Preserve and validate the relationships to the order, ticket product, and event, and decide deliberately how to handle identifiers and security-related values.
WooCommerce order and items Order items identify products, and ticket attendee metadata is also saved on the order. Keep purchase history distinct from individual attendee records. Check that order and order-item references still point to the intended records after mapping.
Attendee-question definitions Ticket configuration can store attendee-information settings, including whether the feature is enabled and definitions with a type, label, required flag, slug, placeholder, description, and ordering. Inventory the question schema as well as its answers. Compare slugs and field types, not only labels, when matching fields to a destination.
Submitted attendee answers Custom answers are stored in order metadata keyed by product, then the appropriate attendee-indexed values are copied to attendee records. Check both order-level metadata and each attendee’s values. This matters particularly when one order includes multiple tickets.
Moved-ticket orders A documented ticket move can create a child order with a zero total, selected customer and address information, and ticket metadata. Notes are added to both orders, and event capacity is synchronized. Distinguish administrative movement records from original purchase transactions when reconciling payments, orders, and attendees.

Inventory attendee questions in two layers

Do not treat attendee information as a single list of field labels. There are two related but distinct data layers:

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  • Field schema: the ticket’s configured questions and their properties, such as type, slug, required status, and display order.
  • Submitted values: the answers captured for a purchase and associated with the relevant attendee record.

Mapping only the answers can leave the destination without equivalent questions or stable field identifiers. Mapping only the question setup can leave attendee records without their responses. For orders containing several tickets, verify that each answer is associated with the correct attendee rather than merely present somewhere on the order.

Separate ticket configuration, attendee identity, and purchase history

These categories serve different purposes and should not be collapsed into one export:

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Keeping these distinctions makes reconciliation more meaningful: a product count, order count, and attendee count are different measures, and a change in one does not by itself explain the others.

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Account for ticket moves during reconciliation

Some records may arise from administrative ticket movement rather than a new paid purchase. The documented move operation creates a zero-total child order, carries selected customer and address details plus ticket metadata, adds explanatory notes to the original and new orders, and synchronizes event capacity. Include those records in the inventory, but classify them separately from original purchase transactions when checking revenue and attendance.

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Build a destination mapping checklist

Before switching systems, compare the source inventory with the target’s data model and verify each relationship on a staging copy:

  1. Confirm that each ticket product remains associated with the correct event and maps to the intended destination ticket type.
  2. Check that attendee records retain the intended links to the event, ticket, order, and order item.
  3. Map question definitions—including slugs and field types—and verify that each attendee’s submitted answers are retained.
  4. Identify moved-ticket child orders and distinguish them from original purchase transactions.
  5. Compare ticket price, stock or capacity settings, SKU, and sale dates with the destination’s corresponding fields.
  6. Verify that the destination’s event-capacity behavior meets the organizer’s needs, then reconcile record counts and representative relationships against the source.

The Events Calendar’s developer documentation describes this source model; it does not guarantee that another ticketing platform will import every field or relationship. The references were accessed October 7, 2026, and do not establish one plugin release for every installation. Record the versions installed in your store and verify actual field behavior against your database and a staging copy before migration.

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Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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