General: Better, Padded And Wider Search Bar In This A/B/C Test
Hypothesis
If we test a similar change on our any 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 general, leading to frustration and early exits.
What worked: implemented this UI change (Feb 10, 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 general: better, padded and wider search bar in this a/b/c test can improve conversions. The test was run on a landing page page in the e-commerce 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
just completed a cascade experiment with 3 version of their global search bar. Interestingly the cascaded version with all inherited changes, took the lead.
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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