Pick your size once, filter the whole site: +33% revenue
Commentary byLiftArchiveOur analysis, not theirsLetting mobile shoppers choose their size once, early in the visit, and filtering the whole site to that size raised revenue by 33% and conversion rate by 28%.
ConvertPolo ran this A/B test for Kisah, a men's ethnic wear brand, and it was published as a VWO case study.
- Revenue: +33%. A large lift from one change to how size is handled.
- Conversion rate: +28%. More mobile visitors went on to buy.
- No sample size, duration or confidence level was shared, so treat the size of the lift with care.
The change
A saved size choice filters listings site-wide instead of picking size on each product.
Simplified mockup drawn by LiftArchive from the shared screenshots.
Control
Shoppers landed on the listing page and had to pick their size on each product page they opened.
Variant
A preferred-size selector appeared early in the journey. The chosen size stayed in place across the site and filtered products to match.
Why it likely won
Our reading of the result, not the practitioner's claim.
- Shoppers no longer repeat the same choice on every product, which saves taps on mobile.
- Filtering to the right size means shoppers only see items they can actually buy, so fewer dead ends.
- Clothing for special occasions is size-sensitive. Finding out late that an item isn't in stock in your size is a common reason to leave.
Caveats: No sample size, duration or significance was given. A lift this large from one change is worth retesting on your own traffic.
Who ran it
ConvertPolo ran this test for Kisah and published the results (VWO case study). The numbers are theirs; the summary and commentary on this page are ours.
Read the original case study on ConvertPolo →
How to run this test on your store
- Hypothesis
- If we ask shoppers for their size once and filter products to it across the site, then more will buy because they skip repeat choices and only see items available in their size.
- Primary metric
- Conversion rate
- Guardrails
- Revenue per visitor
- Products viewed per session
- Return rate for wrong size
- Who should test it
- Apparel and footwear stores where size matters and stock varies by size. It is less useful for one-size products, or where shoppers often buy for other people in different sizes.
Questions
Should I ask shoppers for their size up front?
It is worth testing in size-sensitive categories. Make it easy to skip and easy to change later.
What if shoppers are buying for someone else?
Let them change or clear the saved size at any time. Otherwise they may think items are missing.
Does a saved size need a login?
No. It can be stored in the browser for the visit or longer, so it works for guests too.
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