Listing: Earliest Availability
Hypothesis
If we implement 'Earliest Availability' on listing pages (In this experiment, the earliest availability dates were displayed underneath product tiles on listing pages), then key conversion metrics will improve.
Test Results
Key Learning
Context: Friction during the listing process causes users to abandon right when they're closest to converting.
What was tested: REAL-WORLD TEST: 'Earliest Availability' was tested on a live listing page. The test involved 47,251 real visitors. Full statistical results require paid access. Test methodology: In this experiment, the earliest availability dates were displayed underneath product tiles on listing pages. This was a/b tested on a car rental serv...
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: earliest availability 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
In this experiment, the earliest availability dates were displayed underneath product tiles on listing pages. This was a/b tested on a car rental service website. Impact on product adds-to-cart as well as transactions 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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