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inconclusive

Listing: Links Or Buttons

Hypothesis

If we A/B test Links Or Buttons on listing pages, then we can measure its impact and determine if it suits our context

Test Results

Key Learning

Context: The primary call-to-action on the listing isn't converting at its potential — design, copy, or placement may be the bottleneck.

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. CTA changes that don't move the needle often mean the bottleneck is elsewhere — consider testing the surrounding context or the value proposition instead.

How to Apply This to Your Site

This experiment tested listing: links or buttons 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 cta 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 Links Or Buttons improves conversion performance. This is a meta-pattern derived from multiple A/B tests across different companies. Applicable to content, listing 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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