# Rebuy vs Shopify product recommendations: +23% conversion rate

- Outcome: Won
- Page type: Product page (Ecommerce)
- Elements: Upsells & cross-sells, Product cards & quick add
- 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/increase-pdp-revenue-rebuy-product-recommendations
- Page: https://liftarchive.com/test/stone-creek-coffee-rebuy-vs-shopify-recommendations/

Swapping Shopify's native product recommendations for Rebuy's engine lifted conversion rate by 23% on Stone Creek Coffee's product pages. Blend Commerce ran this A/B test in Intelligems. Revenue per visitor rose 25%, but the test ran for only four days and ended early.

## Result

**+23% conversion rate**

- Conversion rate: +23%, the primary metric. Intelligems gave an 89.5% probability the Rebuy version beat control.
- Revenue per visitor: +25%, with an 83% chance of being the best version.
- Subscription revenue per visitor: +84%, a large lift for a coffee brand that sells subscriptions.
- Add-to-cart rate: +12%. Average order value: +2%.
- Abandoned checkout rate: -34%, a good sign that the extra products did not distract buyers.

## Control

Product pages showed ten recommended products below the reviews, picked by Shopify's native recommendation API.

## Variant

The same ten-product block, in the same design and position, but filled by Rebuy's recommendation engine using its own data.

## Why it likely won (our reading)

- Only the engine changed, so the gain likely came from more relevant product matches.
- Better matches can support the choice a shopper is already making, instead of adding a new decision.
- Rebuy may draw on richer purchase data than Shopify's default logic, which helps with repeat and subscription buyers.

## Caveats

The test covered 3,452 visitors over four days and ended earlier than planned, so the lifts may shrink with more data. An 89.5% probability is below the 95% level many teams use.

## How to run this test

- Hypothesis: If we fill our PDP recommendation block with a dedicated recommendation engine instead of the platform default, then conversion will rise because shoppers see more relevant products.
- Primary metric: Conversion rate
- Guardrail: Revenue per visitor
- Guardrail: Average order value
- Guardrail: App cost versus revenue gained
- Who should test it: Shopify stores paying for a recommendation app and unsure if it earns its fee. Keep the design and position identical so only the engine differs. Very small catalogues may see little difference between engines.

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Credit: Blend Commerce ran this test and owns the result. Summary and commentary by LiftArchive (https://liftarchive.com/test/stone-creek-coffee-rebuy-vs-shopify-recommendations/).
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.