Product finder with outcome questions: +€89,567 revenue lift
Test run byKasper DolkMaison Commerce
Commentary byLiftArchiveOur analysis, not theirsAdding a product finder that asks a few questions, including the shopper's desired outcome, showed a +€89,567 revenue lift at 100% confidence. Kasper Dolk ran this test for a store selling high-priced products. It covered 57,978 visitors and has finished.
- Revenue lift: +€89,567, as reported by the testing tool. A large gain for a single change.
- Visitors: 57,978 unique visitors took part, a solid sample.
- Confidence: 100%, and the test is marked done. The result is about as firm as these dashboards report.
- Conversion rate, revenue per visitor, order value and finder completion rate were not shared.
The change
The variant adds a guided product finder that ends in a recommendation; exact placement was not shown.
Simplified mockup drawn by LiftArchive from the shared screenshots.
Control
The collection page without a finder, leaving shoppers to compare the range and choose on their own.
Variant
A product finder that walks shoppers through a few questions, with steps about what they want to achieve, and ends with a recommended product. The test name suggests it was opened from a button on the collection page.
Why it likely won
Our reading of the result, not the practitioner's claim.
- the store kept hearing that shoppers didn't know which product to pick. A finder removes that choice problem.
- asking about the desired outcome makes the recommendation feel personal, which matters more when the price is high.
- fewer options at the decision point can make buying easier, since too much choice often stalls people.
Caveats: Only revenue lift, visitors and confidence were shown, and it is unclear whether the revenue figure is measured or projected. The questions, design and test length were not shared, and it ran on one store.
Who ran it
Kasper Dolk (@kasper_dolk) shared this test on X. The numbers and screenshots are theirs.
View the original post on X
How to run this test on your store
- Hypothesis
- If we add a short product finder that asks about the shopper's goal, then more visitors will buy because they get a confident recommendation instead of facing too many options.
- Primary metric
- Revenue per visitor
- Guardrails
- Finder completion rate
- Average order value
- Return rate on recommended products
- Who should test it
- Stores with a range of similar, higher-priced products where shoppers often ask which one to choose, such as mattresses, e-bikes or skincare devices. It probably won't help stores with a small, easy-to-compare range.
Questions
Do product finder quizzes increase sales?
In this test a product finder showed a +€89,567 revenue lift at 100% confidence across 57,978 visitors. It was built for a store whose shoppers struggled to choose between high-priced products.
What questions should a product finder ask?
Kasper Dolk's finder used a few questions with steps about the shopper's desired outcome. Keeping it short and focused on goals helps it feel like advice rather than a form.
When is a product finder worth building?
When shoppers keep saying they don't know which product to pick. That objection was the starting point for this test.