# Pre-Checked Default Options in Checkout A/B Test

Page: https://alidemirbas.com.tr/en/lab/ab-test-library/tests/pre-checked-default-options-in-checkout-ab-test

## Hypothesis

If a neutral, no-charge option such as a delivery day or shipping method comes preselected, shoppers may skip one interaction and keep going. When the default suits most shoppers and is easy to change, the order completion rate could rise.

## When to run this test

Shoppers stalling on the delivery day or shipping method in session recordings, drop-offs at that point, or data showing most shoppers already pick the same option tell you a neutral choice adds an unnecessary step at checkout. If the default is the right one, most shoppers complete the order without changing it and cancellations do not rise. If shoppers stall because the options are unclear, clarify their descriptions first. Keep marketing consent, data sharing and paid add-ons out of this test, and check the target market's consent rules before launch.

## Primary metric

**Order completion rate**: Compare purchases among visitors shown the predefined default option.

## Other metrics

- **Default change rate**: Track whether visitors change the preselected option.
- **Order cancellation rate**: Compare cancellations over the same follow-up period in both arms.
- **Selection-related support contacts**: Track reports that an option was selected without the user's action.
- **Revenue per visitor (RPV)**: Compare revenue across all assigned visitors.

## What to check before and during the test

- **Default**: Preselect one neutral option that adds no charge; keep the order and content of other options the same.
- **Suitability**: Check whether the default is appropriate for most visitors.
- **Awareness**: Make sure visitors notice the default and can change it.
- **Change rate**: Measure how often visitors change the default.
- **Segments**: Segment results may inform a future hypothesis, but apply the same predefined default to everyone in this test.

## What to watch when reading the result

- Read the order completion rate alongside the order cancellation rate, tracked over the same follow-up window in both versions, and support contacts from shoppers who see a choice they did not make. If those rise along with completion, the default may be pushing shoppers toward something they did not want, which argues against shipping it. Measure revenue per visitor across everyone assigned to the experiment.
- The default change rate shows whether the preselected option suits most shoppers, but a default that is too subtle makes that rate look artificially low, so make it clearly visible. Only the single default you tested is covered by this result; segment differences can suggest a new hypothesis for another default, but everyone gets the same default in this test.
- When the gap is small, do not decide from a single number. Enter each arm's visitors and orders in the [A/B test significance calculator](https://alidemirbas.com.tr/en/calculators/ab-test) and look at the p-value; if the gap is not significant, this test has not settled the effect of the default, so do not report it as a gain or a loss.

## Frequently Asked Questions

### Which options are suitable for a neutral default?

Use an easily changed preference that adds no charge. Marketing consent, data sharing and paid extras are outside this scenario. Use order completion as the primary outcome and preserve a clear way to change the selection.

### What does the default-change rate tell me?

It can indicate whether the initial preference suits users. A low rate is not proof of suitability if the selection is hard to notice or change. Verify discoverability as well.

### Which problems should be checked if order completion improves?

Monitor complaints about unrequested choices, cancellations over equal follow-up windows and revenue per assigned visitor. Do not exclude non-buyers from the revenue denominator.