Modern product image carousel: +4.5% add-to-cart, sales flat
Test run byClean CommitCRO agency
Commentary byLiftArchiveOur analysis, not theirsA taller product image area with minimal arrows, dot indicators and swipe support lifted add-to-cart rate 4.5%, but conversion rate rose only 1.1% and revenue per visitor fell 1.1%.
Clean Commit ran this test across 84,028 visitors for an anonymized Shopify store and published it in its A/B test library.
The extra adds didn't turn into more sales, so we count it as inconclusive.
- Add-to-cart rate: +4.5%, with a 99.1% probability of beating the original. This was the target metric and a clear lift.
- Conversion rate: +1.1%, within normal variation. Flat.
- Revenue per visitor: -1.1%, with orders up only 1.0% and average order value down 2.6%.
- Devices split: desktop conversion rate rose 5.2%, while mobile average order value fell 4.5%.
The change
The variant enlarges the gallery and modernizes its controls.
Simplified mockup drawn by LiftArchive from the shared screenshots.
Control
The product page used the store's original image carousel and controls.
Variant
The image area was taller, the carousel used minimal arrows and dot indicators, and shoppers could swipe between images.
Why it likely came out this way
Our reading of the result, not the practitioner's claim.
- Bigger, easier-to-browse images make the product more appealing, which shows up as more adds to cart.
- Adding to cart is a low-commitment step. Price, shipping and checkout still decide whether the order happens.
- A taller image area pushes price and details further down, which may matter more on mobile.
Caveats: The target metric rose clearly, but orders, conversion rate and revenue per visitor did not, so the business result is flat. Test duration was not shared.
Who ran it
Clean Commit ran this test for a Shopify store (anonymized) and published the results (Clean Commit A/B test library). The numbers are theirs; the summary and commentary on this page are ours.
Read the original case study on Clean Commit →
How to run this test on your store
- Hypothesis
- If we make product images larger and easier to swipe through, then more shoppers will buy because they can judge the product better.
- Primary metric
- Conversion rate
- Guardrails
- Add-to-cart rate
- Revenue per visitor
- Mobile average order value
- Who should test it
- Stores where the look of the product drives the sale, such as fashion, furniture or decor, and whose current gallery is small or awkward on mobile. Pick orders or revenue as the main metric, not add-to-cart.
Questions
Do bigger product images increase sales?
In this test they lifted add-to-cart 4.5%, but orders rose only 1.0%.
Bigger images may draw interest without closing more sales.
Is add-to-cart rate a good primary metric?
It is useful as a signal, but it can rise while sales stay flat, as here.
Use conversion rate or revenue per visitor to decide.
Should product image carousels support swipe on mobile?
Swipe is what most phone users expect. This test bundled it with other gallery changes, so its own effect is unknown.
Similar tests
@oliverkenyon@oliverkenyon@oliverkenyon@oliverkenyon@oliverkenyon@oliverkenyon