Breadcrumbs

Event Settings - Buyer Information - pers

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Overview

The Personalisation tab controls which data you collect per ticket (per attendee), not per order.

This is fundamentally different from User data:

  • User data = 1 buyer per order

  • Personalisation = 1 attendee per ticket

If someone buys 4 tickets:

  • Buyer information is filled in once.

  • Personalisation fields can appear 4 times (once per ticket).

This section determines what attendee information must be provided before tickets are issued.


Structure of the Personalisation Tab

You see the same types of fields as in User data, such as:

  • First name

  • Last name

  • Email

  • Email (check)

  • Mobile

  • Gender

  • Street

  • House number

  • Zipcode

  • City

  • Country

  • Position

  • Date of birth

  • Organisation

For each field, you can select:

  • Required

  • Optional

  • Not in use

These apply per ticket.


What Each Setting Means in Personalisation


Required (Per Ticket)

If a field is set to Required:

  • The field appears for each ticket.

  • The buyer must fill it in for every attendee.

  • Ticket issuance cannot complete without it.

Example:
If First name is Required:

  • Buying 5 tickets → 5 first names must be entered.

Use Required for:

  • Named tickets

  • Security-controlled events

  • ID-based entry

  • Age-restricted events


Optional (Per Ticket)

If a field is Optional:

  • The field appears per ticket.

  • The buyer may fill it in.

  • The ticket can still be issued if left empty.

Use Optional for:

  • Marketing analysis

  • Demographic insights

  • Non-critical attendee profiling


Not in Use

If set to Not in use:

  • The field does not appear during personalisation.

  • No attendee-level data is collected for that field.

Use this when:

  • Tickets are not name-bound.

  • Speed of checkout is more important.

  • Minimal attendee data is required.


Why Personalisation Is Important

Personalisation affects:

  • Ticket validation logic

  • Scan app behavior

  • Security compliance

  • Transferability of tickets

  • Resale control

  • CRM attendee accuracy

For example:

If personalisation is Required:

  • Tickets become name-bound.

  • Changes may require formal transfer process.

  • Duplicate names can be prevented.

If personalisation is minimal:

  • Tickets are easier to transfer.

  • Checkout is faster.

  • Less data is available for analysis.


Operational Impact

If users report:

  • “We need names on tickets”
    → Ensure First name and Last name are Required in Personalisation.

  • “Attendees can enter without ID match”
    → Check if name fields are Required.

  • “Checkout takes too long”
    → Reduce Required personalisation fields.

  • “We don’t know who is actually attending”
    → Increase Required fields in Personalisation.


Difference Between Buyer Information and Personalisation

Buyer Information

Personalisation

Order-level

Ticket-level

One per order

One per ticket

Contact & billing

Attendee identity

Used for payment

Used for entry control

Never confuse these two layers.


Additional Questions (Below Personalisation)

You also see:

Additional questions → + Add additional field

These allow you to create custom attendee questions such as:

  • Dietary preference

  • T-shirt size

  • Accessibility needs

  • Membership number

  • Marketing source

These can apply to:

  • Buyer (order-level)

  • Attendee (ticket-level)

Configuration depends on how they are created.

We will define additional fields separately if needed.


Strategic Recommendations

Low-security event:

  • Personalisation minimal or Optional

High-security / corporate event:

  • First name → Required

  • Last name → Required

  • Possibly Date of birth → Required

Age-restricted event:

  • Date of birth → Required


Summary

Personalisation controls:

  • What data is collected per attendee

  • Whether tickets are name-bound

  • Entry-level validation detail

  • Attendee analytics depth

This section directly influences:

  • Security

  • Operational control

  • Scan process

  • Transferability

  • Customer friction