Rebuy Smart Cart with fuller recommendations: +13% RPV

WinnerCart

Replacing a sparse cart drawer with a branded Rebuy Smart Cart lifted revenue per visitor by 13% for apparel store Fame on Central.

Blend Commerce ran this A/B test in Intelligems on mobile and desktop.

Average order value rose 15% while conversion rate held flat, but the result was not statistically significant.

+13% RPV
  • Revenue per visitor: +13%. This was the primary metric.
  • Average order value: +15%.
  • Conversion rate: flat. Shoppers spent more per order without fewer of them buying.
  • Not statistically significant when reported, so the agency treats the lift as directional.

The change

Control (A)
Your cart
free shipping bar
cart line
Sparse recommendationsREPLACED
cart summary
payment icons
Checkout
Variant (B)
Your cart
free shipping bar
Gift trackerNEW
cart line
Full recommendation rowNEW
cart summary
payment icons
Checkout

A sparse cart drawer becomes a Rebuy Smart Cart with full recommendations and a gift tracker.

Simplified mockup drawn by LiftArchive from the shared screenshots.

Control

The cart drawer had a recommendations area that looked underdeveloped and was sometimes partly empty.

Variant

A branded Rebuy Smart Cart showed fuller product recommendations, a gift tracker and a swipeable recommendation row on mobile. Shipping progress, quantity controls, payment messaging and the checkout button stayed.

Why it likely won

Our reading of the result, not the practitioner's claim.

  • A full, well-designed set of recommendations gives shoppers real add-on options right before checkout.
  • A gift tracker gives shoppers a clear reason to add one more item.
  • Keeping the checkout button and core controls prominent likely stopped the extra content from hurting conversion.

Caveats: The result was not statistically significant when reported. Several cart changes shipped together, so the lift can't be credited to recommendations alone.

Who ran it

Blend Commerce ran this test for Fame on Central and published the results (Blend Commerce A/B test). The numbers are theirs; the summary and commentary on this page are ours.

Read the original case study on Blend Commerce →

How to run this test on your store

Hypothesis
If we replace our sparse cart drawer with one that shows full product recommendations and a gift tracker, then revenue per visitor will rise because shoppers add more items before checkout.
Primary metric
Revenue per visitor
Guardrails
  • Conversion rate
  • Cart abandonment rate
  • Recommendation add-to-cart rate
Who should test it
Stores with a cart drawer and a catalogue of items that pair well, such as apparel. If you sell one main product, recommendations have less to offer.

Questions

Do cart drawer recommendations increase order value?

They can when they are complete and relevant.

Here average order value rose 15%, though the result was not significant.

Will upsells in the cart hurt conversion?

They can if they crowd the checkout button.

This test kept checkout prominent, and conversion rate stayed flat.

What is a gift tracker in a cart?

It shows how close a shopper is to unlocking a free gift.

It gives a reason to add one more item.

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