# Personalized recommendation popup: +77.9% revenue per visitor

- Outcome: Won
- Page type: Product page (Ecommerce)
- Elements: Popups & email capture, Upsells & cross-sells
- Date shared: 2024-03
- Test run by: [OptiMonk](https://liftarchive.com/practitioners/optimonk/)
- Commentary by: LiftArchive (our analysis, not theirs)
- Original source: https://www.optimonk.com/craft-spirit-shop-case-study
- Page: https://liftarchive.com/test/craft-spirit-shop-personalized-recommendation-popup/

Adding 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.

## Result

**+77.9% revenue per visitor**

- 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.

## 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)

- 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.

## How to run this test

- 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
- Guardrail: Purchase rate
- Guardrail: Bounce rate
- Guardrail: 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.

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Credit: OptiMonk ran this test and owns the result. Summary and commentary by LiftArchive (https://liftarchive.com/test/craft-spirit-shop-personalized-recommendation-popup/).
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.