# Rebuy Smart Cart with fuller recommendations: +13% RPV

- Outcome: Won
- Page type: Cart (Ecommerce)
- Elements: Cart drawers & slide carts, Upsells & cross-sells
- Test run by: [Blend Commerce](https://liftarchive.com/practitioners/blend-commerce/)
- Commentary by: LiftArchive (our analysis, not theirs)
- Original source: https://blendcommerce.com/blogs/ab-tests-shopify/fame-rebuy-smart-cart-revenue-per-visitor
- Page: https://liftarchive.com/test/fame-on-central-rebuy-smart-cart/

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.

## Result

**+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.

## 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)

- 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.

## How to run this test

- 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
- Guardrail: Conversion rate
- Guardrail: Cart abandonment rate
- Guardrail: 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.

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Credit: Blend Commerce ran this test and owns the result. Summary and commentary by LiftArchive (https://liftarchive.com/test/fame-on-central-rebuy-smart-cart/).
Usage: Free to use, quote and build on, with credit and a link: name the practitioner or organization that ran the test and link to its LiftArchive page. The results belong to the practitioners who ran and shared them; the summaries and commentary are LiftArchive's.