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inconclusive

Product: Open In A New Tab

Hypothesis

If we A/B test Open In A New Tab on product pages, then we can measure its impact and determine if it suits our context

Test Results

Key Learning

Context: Users arriving at the product can't efficiently find what they're looking for, increasing bounce rates.

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 product: open in a new tab but produced no statistically significant change. The test was run on a product 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 Open In A New Tab improves conversion performance. This is a meta-pattern derived from multiple A/B tests across different companies. Applicable to listing, product page types.

Methodology

Confidence Level
70%

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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