Listing: Search Keyword Highlighting
Hypothesis
If we A/B test Search Keyword Highlighting on listing pages, then we can measure its impact and determine if it suits our context
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: has been validated across multiple real A/B tests. Use this as a high-priority test hypothesis backed by industry meta-analysis.
Result: No statistically significant difference was detected. Navigation tests that don't show a difference may indicate the issue is content findability, not menu structure. Consider search and filtering improvements.
How to Apply This to Your Site
This experiment tested listing: search keyword highlighting 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 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
Testing whether Search Keyword Highlighting improves conversion performance. This is a meta-pattern derived from multiple A/B tests across different companies. Applicable to listing page types.
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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