Product recommendations on Underoutfit product pages: +3.2% value
Test run byVisuallyTesting and CRO tool
Commentary byLiftArchiveOur analysis, not theirsAdding product recommendations to Underoutfit's product pages lifted per-session value by 3.2%.
This test ran on Visually's platform with the Underoutfit team and was published as a Visually case study.
The recommended products were chosen automatically for each shopper by an AI-based engine.
- Per-session value: +3.2%.
- Conversion rate and average order value were not reported on their own, so it's unclear whether the gain came from more orders or bigger ones.
- Sample size, test length and confidence level were not shared.
The change
Personalized product recommendations added to the product page
Simplified mockup drawn by LiftArchive from the shared screenshots.
Control
Product pages showed no product recommendations.
Variant
A product recommendations section was added to product pages, with items picked automatically for each shopper by an AI-based engine.
Why it likely won
Our reading of the result, not the practitioner's claim.
- Lingerie shoppers often buy matching or related pieces, so relevant suggestions can add items to the order.
- Recommendations give shoppers who don't like the current product another option instead of leaving.
- Picking items per shopper likely made the suggestions more relevant than a fixed list.
Caveats: Vendor-reported in a Visually case study; sample size, test length and statistical significance were not shared.
Who ran it
Visually ran this test for Underoutfit and published the results (Visually case study). The numbers are theirs; the summary and commentary on this page are ours.
Read the original case study on Visually →
How to run this test on your store
- Hypothesis
- If we add personalized product recommendations to product pages, then revenue per session will rise because shoppers find related items to add or better options to buy.
- Primary metric
- Revenue per session
- Guardrails
- Conversion rate
- Add to cart rate for the main product
- Page load time
- Who should test it
- Stores with a wide range of related products, such as sets, colours or complementary items. It may do little for stores with only a few products.
Questions
Do product recommendations on product pages increase revenue?
In Underoutfit's test they raised per-session value by 3.2%.
Results depend on how relevant the suggestions are.
Where should recommendations go on a product page?
The case study doesn't say where Underoutfit placed them.
Most stores test them below the main product details so they don't distract from Add to Cart.
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