Product Detail Page
Testing Fit Feedback Votes on a Fashion Product Page
“Runs small,” “true to size,” or “runs large” feedback may give shoppers another reference when choosing a size. A summary may help prevent a poor choice, but its value depends on the responses behind it. Allow enough time for returns to mature and check whether the variant changes who buys.
A/B test scenario. This page is a test plan, not the result of a real experiment.
- Product page
- Size-related return rate
Control vs Variant
Absent on one side, present on the other.
- Changed
- Presence
- Page
- Product page
- Difference
- added
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.
Test plan
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.
How to measure success
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.
Also track
- Purchase conversion rate (CR)Check whether the mix of purchasers changes alongside returns.
- Size chart open rateSee whether fit feedback changes use of the size chart.
- Add-to-cart rateTrack any material drop in add-to-cart.
- Customer service contactsTrack size-related contacts relative to traffic or purchases.
How to set it up
- SummaryAdd a predefined fit summary based on real responses.
- Placement and formatSet the summary's placement and presentation before the test.
- Data thresholdSet and maintain a justified minimum response count.
- Repeated displayDo not add a second display at size selection in this comparison.
- CategoryReview apparel categories separately.
What to watch when reading the result
- 1Size-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.
- 2Read 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.
- 3Returns 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 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.
More tests in Product Detail Page
All testsSize Selection in a Bottom Sheet or Inline A/B Test
Product pageAdd-to-cart rate
A test idea comparing a bottom sheet size picker with an inline one, covering one-handed reach against fewer steps and add-to-cart as the metric.
Size Chart or Personalized Size Advice A/B Test
Product pageSize selection completion
Experiment idea putting a raw measurement table against a height-and-weight based recommendation, and what a wrong suggestion costs in trust.
Photo Reviews vs Text-Only Reviews A/B Test Example
Product pageReturn rate
A test idea showing customer photos inside reviews instead of text alone, framed around the gap between studio imagery and real-life expectation.
