Model Height and Size Info on Product Pages A/B Test

Size chart opens followed by exits without an add-to-cart, session recordings of shoppers switching between sizes, or questions about what size the model wears are the signs of size hesitation on apparel pages. If the model details ease that doubt, shoppers settle on a size faster and go on to add to cart and buy more often. If the doubt comes from a wrong size chart or sold-out sizes, fix those first. Verify each product's model height and size, and do not launch if you cannot verify them or they conflict across products.

Purchase conversion rate (CR)

Compare purchases per assigned visitor with and without verified model sizing information.

Also track

• Add-to-cart rateTrack progress toward purchase through add-to-cart.
• Size chart interaction rateRead this alongside purchases and returns; fewer chart opens are not automatically better.
• Return rateTrack returns and, where available, size-related return reasons.
• Product review timeInterpret time alongside outcomes; longer review can be useful.

• InformationAdd the model's verified height and the size actually worn.
• Other contentKeep images, stock, size chart and product copy unchanged.
• Detail setThis test includes height and size; testing size alone is a separate comparison.
• PlacementChoose one readable placement and keep it fixed.
• CategoryReview apparel types where sizing needs differ.

1. 1Do not ship on a conversion gain alone if return rate or size-related return reasons get worse, since model information cannot guarantee fit. Fewer size chart opens or shorter product review time are not good signs by themselves; read them alongside purchases and returns.
2. 2Treat the result as describing only the products and garment types you tested. Do not extend a gain seen on one product to the whole catalog; validate it separately in categories where sizing needs differ. Compare returns only once orders in both arms have had time to come back.
3. 3Write the details as one plain sentence rather than in technical terms, and check on mobile that the text stays legible and does not run over the image. If the label is hard to read, a flat result may say more about the presentation than about the information.
4. 4Purchases happen less often than add-to-carts, so a small gap may not show up at this traffic level. Work out the visitors you need with the sample size calculator before launch, divide it by daily traffic per arm to plan the run, and do not decide until you reach that number.