# Reducing Address Form Fields in Checkout A/B Test

Page: https://alidemirbas.com.tr/en/lab/ab-test-library/tests/reducing-address-form-fields-in-checkout-ab-test

## Hypothesis

If the address form drops fields that are not needed for delivery, shoppers have less to fill in, which may matter most on mobile. For visitors who start the step, the address-step completion rate could rise and form completion time could shorten.

## When to run this test

Form analytics showing abandonment at specific fields, long completion times on mobile, or session recordings of visitors skipping fields mark the address step as a sticking point. If the field count is the burden, visitors finish the address step faster and with fewer exits, without more address errors. If visitors stall on error messages or address suggestions instead, look at those first. Confirm that the fields you remove are truly not needed for delivery, consider alternatives for sensitive fields, and keep the shipping integration unchanged during the test.

## Primary metric

**Address-step completion rate**: Compare valid address submissions among visitors who start the address step.

## Other metrics

- **Address form completion time**: Compare time from step start to saving a valid address.
- **Order completion rate**: Check whether any improvement at the address step carries through to completed orders.
- **Address errors and delivery issues**: Track delivery problems caused by missing or incorrect addresses.
- **Address-related support contacts**: Track requests to correct an address or clarify delivery details.

## What to check before and during the test

- **Change**: Predefine and remove fields that are not needed for delivery; optional status alone does not make a field unnecessary.
- **Keep constant**: Keep autofill, address suggestions, validation and error messages unchanged.
- **Completion**: Track address-step completion and form completion time.
- **Quality**: Monitor invalid addresses, delivery failures and support contacts.
- **Separate tests**: Test address suggestions, postcode lookup or combining fields separately.

## What to watch when reading the result

- A higher address-step completion rate is not enough on its own, because less information can mean more incorrect addresses. Do not ship the change if address errors, delivery issues or address-related support contacts rise, or if the gain does not carry through to order completion.
- Delivery problems and support contacts can surface some time after the order, so give both arms an equal follow-up window before comparing them. Your conclusion stops at this set of removed fields and the current autofill behavior; check the device split as well.
- Check in both arms first that autofilled details can still be edited and that error messages stay next to the relevant fields. Should the address step show no clear gap, enter its current completion rate and the relative lift you care about in the [sample size calculator](https://alidemirbas.com.tr/en/calculators/sample-size-calculator). If the sample per variant it returns is far above the traffic this step gets, the test cannot reliably detect that lift.

## Frequently Asked Questions

### How can I identify unnecessary address fields?

Determine what fulfillment actually needs. Optional does not automatically mean unnecessary. Preserve required delivery information and consider alternatives for sensitive fields. Use address-step completion as the primary outcome.

### Is higher address-step completion enough?

No. Monitor address errors, delivery problems and related support contacts. Check whether the improvement reaches order completion. Less information should not create unacceptable fulfillment problems.

### Can autofill and validation be changed while removing fields?

Not in this comparison. Keep autofill, address suggestions, validation and error messages unchanged. Changing field count and validation together prevents you from separating their contributions.
