Home landing: Visible Search
Hypothesis
If we A/B test Visible Search on home landing 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 home landing, 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 home landing: visible search but produced no statistically significant change. The test was run on a landing 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 Visible Search improves conversion performance. This is a meta-pattern derived from multiple A/B tests across different companies. Applicable to global, home-landing 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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