# Testing Fit Feedback Votes on a Fashion Product Page

Page: https://alidemirbas.com.tr/en/lab/ab-test-library/tests/testing-fit-feedback-votes-on-a-fashion-product-page

## Hypothesis

If the product page summarizes real customers' "runs small," "true to size" and "runs large" votes, shoppers get a second reference next to the size chart. Steering more shoppers to the right size the first time could lower the size-related return rate on orders past the follow-up period.

## When to run this test

When size mismatch stands out among return reasons, customer service keeps getting fit questions, or reviews often say things like "runs small," fit votes are worth a test. When the summary steers shoppers to the right size, they choose it more often, and size-related returns and fit questions fall while purchases hold. If complaints cluster on one product, the garment's own fit may be off, so check its measurements first. Build the summary only from real responses, skip percentages for products under the minimum response count, never round in the product's favor, and keep the size chart and return policy text fixed.

## Primary metric

**Size-related return rate**: Compare size-related returns for orders that have completed the same follow-up period in each arm; read this conditional rate alongside purchase conversion and product mix.

## Other metrics

- **Purchase conversion rate (CR)**: Check whether the mix of purchasers changes alongside returns.
- **Size chart open rate**: See whether fit feedback changes use of the size chart.
- **Add-to-cart rate**: Track any material drop in add-to-cart.
- **Customer service contacts**: Track size-related contacts relative to traffic or purchases.

## What to check before and during the test

- **Summary**: Add a predefined fit summary based on real responses.
- **Placement and format**: Set the summary's placement and presentation before the test.
- **Data threshold**: Set and maintain a justified minimum response count.
- **Repeated display**: Do not add a second display at size selection in this comparison.
- **Category**: Review apparel categories separately.

## What to watch when reading the result

- Size-related return rate is calculated only over buyers, so a drop is not a success by itself. If purchase conversion or add-to-cart falls noticeably, the summary may have put off shoppers unsure of the fit; read it alongside product mix.
- Read the result by apparel category and compare only orders that have completed the follow-up period in each arm. The summary should stay optional information; if shoppers must vote before choosing a size, the result shows the effect of an added hurdle rather than the summary.
- Returns arrive late, so the difference can stay unclear for a while; do not decide before the follow-up period ends. Use the current size-related return rate as the baseline in the [sample size calculator](https://alidemirbas.com.tr/en/calculators/sample-size-calculator) to find how many orders each arm needs, then add the follow-up period to the time it takes to collect them.

## Frequently Asked Questions

### Which data should support the fit-vote summary?

Use genuine customer responses. Fix a justified minimum response rule and do not round results in the product’s favor. Small samples should not be presented with unwarranted precision.

### When can size-related returns be compared?

Wait for equal return-follow-up windows to mature. Use the defined size-return rate and preserve the same order eligibility in both arms.

### Does a lower size-return rate prove the summary helped?

Not alone. It is conditional on purchasing. The variant may deter uncertain buyers, so inspect conversion, add-to-cart and product mix alongside the return outcome.