Personalized recommendation popup: +77.9% revenue per visitor
Test run byOptiMonkTesting and CRO tool
Commentary byLiftArchiveOur analysis, not theirsAdding a product-recommendation popup with headlines matched to the product being viewed raised revenue per visitor by 77.9% and purchase rate by 38.5% against a control group.
OptiMonk ran this for Craft Spirit Shop, an online liquor store, and published it as a case study. No discount was used.
- Revenue per visitor: +77.9% versus the control group.
- Purchase rate: +38.5% versus the control group.
- Revenue grew faster than purchases, which suggests visitors who bought also spent more.
- Sample size, test length and significance are not shared.
The change
The variant adds an exit or timed popup with picks matched to the product.
Simplified mockup drawn by LiftArchive from the shared screenshots.
Control
Product pages with no recommendation popup.
Variant
A popup recommending related spirits, such as other bourbons on a bourbon page, with an AI-written headline tailored to each product. It appeared on exit intent on desktop and after 20 seconds on mobile.
Why it likely won
Our reading of the result, not the practitioner's claim.
- Recommendations in the same category help shoppers who are unsure about the bottle in front of them.
- A headline matched to the product feels relevant, not like a generic interruption.
- Exit intent on desktop catches people at the moment they would have left anyway.
Caveats: This is vendor-reported, and sample size, duration and statistical significance are not stated. The popup changed both the products shown and the headline, so the two effects can't be separated.
Who ran it
OptiMonk ran this test for Craft Spirit Shop and published the results (OptiMonk case study). The numbers are theirs; the summary and commentary on this page are ours.
Read the original case study on OptiMonk →
How to run this test on your store
- Hypothesis
- If we show a popup on product pages with related products and a headline matched to the item being viewed, then revenue per visitor will rise because hesitant shoppers get relevant options before they leave.
- Primary metric
- Revenue per visitor
- Guardrails
- Purchase rate
- Bounce rate
- Average order value
- Who should test it
- Stores with large catalogs where shoppers compare similar items, like spirits, wine or coffee. Stores with only a few products may not have enough relevant options to recommend.
Questions
Do product recommendation popups increase sales?
In this test they did, with revenue per visitor up 77.9% against a control group.
Results depend on how relevant the picks are and when the popup appears.
When should a recommendation popup appear?
This store used exit intent on desktop and a 20-second delay on mobile.
Both aim to avoid interrupting people who are about to buy.
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