Application-time matrix instead of a general claim: +3.2% purchases
Test run byDRIP AgencyCRO agency
Commentary byLiftArchiveOur analysis, not theirsReplacing a general statement about how long the product takes to use with a compact matrix of application times per body area lifted purchases by 3.2%.
DRIP Agency ran the test for a DTC beauty-tech brand and published it as a case study.
The win was declared by a manager decision rather than by a clear statistical result.
- Purchases: +3.2% against the control.
- The result was labeled a winner by manager decision in DRIP's testing tool, not as a clear statistical win.
- The tested code was handed over for permanent use on the site.
- Significance and sample size were not shared.
The change
A general time claim becomes a compact matrix of application times per body area.
Simplified mockup drawn by LiftArchive from the shared screenshots.
Control
The page gave a general statement about how long application takes.
Variant
A compact matrix listed application times for different body areas. Shoppers could see the time commitment for the area they cared about.
Why it likely won
Our reading of the result, not the practitioner's claim.
- Research for this brand found shoppers unsure how the routine would fit their day. Concrete times answer that question directly.
- Specific numbers are easier to trust than a broad claim, and they let each shopper check the area they care about.
- The matrix is compact, so it adds clarity without making a long page longer by much.
Caveats: The win was a manager decision, not a clear statistical result, and significance and sample size were not shared. The page type was not stated.
Who ran it
DRIP Agency ran this test for a DTC beauty-tech brand and published the results (DRIP Agency case study). The numbers are theirs; the summary and commentary on this page are ours.
Read the original case study on DRIP Agency →
How to run this test on your store
- Hypothesis
- If we replace a general time claim with a matrix of times per use case, then purchases will rise because shoppers can judge the time commitment for their own needs.
- Primary metric
- Purchases (conversion rate)
- Guardrails
- Revenue per visitor
- Add-to-cart rate
- Scroll depth to the buy button
- Who should test it
- Brands whose products need ongoing effort, such as devices, treatments or routines, where time is a real worry. Run it long enough to reach significance. It is unlikely to matter if use is quick or time is not a buying concern.
Questions
Should product pages show how long a product takes to use?
If time is a worry for buyers, yes.
In this test a matrix of times per body area lifted purchases 3.2%, though the win was a manager call.
What is a manager-decided winner in A/B testing?
It means the team chose to roll out the variant without a clear statistical win.
The direction looked good, but the result could still be noise.
Are tables better than text for product details?
For comparing several options, a small table is often quicker to scan than a sentence.
Keep it short so it doesn't push key content down.
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