Product: Product Page
Hypothesis
If we test a similar change on our product pages as tested, then our conversion metric will likely improve based on their implementation decision.
Test Results
Key Learning
Problem: Users arriving at the product can't efficiently find what they're looking for, increasing bounce rates.
What worked: implemented this UI change (May 17, 2024). 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 product: product page can improve conversions. The test was run on a product 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
hasn't given up on its previously rejected navigation a/b test. In March of this year I noticed a very similar follow up experiment with at least 1 key difference - the "Reorder My Items" menu wasn't changed but kept in its original position.
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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