Listing: Listing Page
Hypothesis
If we test a similar change on our listing pages as tested, then our conversion metric will likely improve based on their implementation decision.
Test Results
Key Learning
Problem: Users can't quickly find relevant products or content on the listing, leading to frustration and early exits.
What worked: implemented this UI change (Jan 20, 2020). Implementation suggests positive internal results
Takeaway: Even small lifts compound — across thousands of sessions, this adds up. Navigation improvements affect every page — measure downstream engagement and conversion to understand the full impact.
How to Apply This to Your Site
This experiment demonstrated that listing: listing page can improve conversions. The test was run on a category page page in the travel industry.
Before you test: Consider that navigation tests typically require adequate traffic to reach statistical significance. Run your test for at least 2 full business cycles to account for weekly traffic patterns.
What Was Tested
In this listing page experiment, tried an very similar search interaction that is already present on 's homepage. Instead of only asking users for their destination, the search interaction was extended to prompt for travel dates and number of guests.
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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Problem: Multi-step processes on the listing can overwhelm users if they can't see how far along they are or how much is left.
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Context: Users arriving at the product can't efficiently find what they're looking for, increasing bounce rates.