Listing: Category Images
Hypothesis
If we implement 'Category Images' on listing pages (In this experiment, two types of UI filters for metal color choices were shown at the top of product listing pages), then key conversion metrics will improve.
Test Results
Key Learning
Context: Visual elements on the listing aren't doing enough to communicate value, build trust, or guide users toward the next step.
What was tested: REAL-WORLD TEST: 'Category Images' was tested on a live listing page. The test involved 34,191 real visitors. Full statistical results require paid access. Test methodology: In this experiment, two types of UI filters for metal color choices were shown at the top of product listing pages. One variant only used category lab...
Result: No statistically significant difference was detected. Visual tests with no clear winner suggest the images aren't the bottleneck. Focus on the copy and value proposition instead.
How to Apply This to Your Site
This experiment tested listing: category images but produced no statistically significant change. The test was run on a category page page in the cross-industry industry. Inconclusive results suggest this particular change may not be a priority — focus testing effort on higher-impact areas.
Before you test: Consider that imagery tests typically require large sample sizes to detect small effects. Run your test for at least 2 full business cycles to account for weekly traffic patterns.
What Was Tested
In this experiment, two types of UI filters for metal color choices were shown at the top of product listing pages. One variant only used category labels, while the other variant combined images with labels to reinforce the categories. Impact on filter usage, adds to cart and sales were measured.
Methodology
Build On These Learnings
Save your own experiments, spot winning patterns across your test history, and stop repeating what's already been tried.
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