Listing: Fewer Or More Results
Hypothesis
If we implement 'Fewer Or More Results' on listing pages (Are more (popular) product results better than none at all? In this experiment, popular products were shown during an empty search result), then key conversion metrics will improve.
Test Results
Key Learning
Context: Users can't quickly find relevant products or content on the listing, leading to frustration and early exits.
What was tested: REAL-WORLD TEST: 'Fewer Or More Results' was tested on a live listing page. The test involved 22,070 real visitors. Full statistical results require paid access. Test methodology: Are more (popular) product results better than none at all? In this experiment, popular products were shown during an empty search result. Impact on s...
Result: No statistically significant difference was detected. No significant difference suggests users adapted to the change quickly, or the variation didn't address the actual friction point. Try testing more targeted elements.
How to Apply This to Your Site
This experiment tested listing: fewer or more results 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 layout 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
Are more (popular) product results better than none at all? In this experiment, popular products were shown during an empty search result. Impact on sales was 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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