# Popup showing the viewed product with 10% off: +55% subscribers

- Outcome: Won
- Page type: Product page (Ecommerce)
- Elements: Popups & email capture, Pricing, discounts & savings display
- Date shared: 2026-03
- Test run by: [OptiMonk](https://liftarchive.com/practitioners/optimonk/)
- Commentary by: LiftArchive (our analysis, not theirs)
- Original source: https://www.optimonk.com/whiskynet-ai-case-study
- Page: https://liftarchive.com/test/whiskynet-ai-product-matched-discount-popup/

Replacing generic sign-up offers with a popup that showed the exact product being viewed, with 10% off that product, lifted Whiskynet's subscribers by 55% and purchases by 6.6%. OptiMonk ran this for the spirits retailer and published it as a case study. It was a before/after result, not a split test.

## Result

**+55% subscribers**

- Subscribers: +55%.
- Purchases: +6.6%.
- Separate category-page popups added a further +19.1% subscribers, not counted above.
- Not a split test, and the comparison period was not stated.

## Control

Product pages used generic sign-up offers, such as a standard newsletter popup.

## Variant

An AI-built popup showed the product the visitor was viewing, such as a specific gin, with a 10% discount on that item. The tool made a matching popup for each of more than 1,000 products.

## Why it likely won (our reading)

- Showing the item already on screen makes the offer feel like part of the visit, not an interruption.
- A discount on the exact product is easier to value than a general store-wide code.
- Premium spirits buyers often compare before buying, so a timely offer on the item in view can tip the choice.
- The bigger gain in subscribers than purchases suggests many people signed up but did not buy right away.

## Caveats

This was a before/after result with no stated comparison basis, sample size or duration. Results are vendor-reported, and an AI tool from the vendor made the popups.

## How to run this test

- Hypothesis: If we replace our generic sign-up popup with one that shows the product being viewed and a discount on it, then more visitors will subscribe and buy because the offer matches what they already want.
- Primary metric: Email sign-up rate
- Guardrail: Purchase conversion rate
- Guardrail: Discount cost per order
- Guardrail: Revenue per visitor
- Who should test it: Stores with large catalogs and lots of traffic landing straight on product pages, such as from ads. Stores with a few products can build these popups by hand, and stores that avoid discounts should test a non-discount version.

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Credit: OptiMonk ran this test and owns the result. Summary and commentary by LiftArchive (https://liftarchive.com/test/whiskynet-ai-product-matched-discount-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.