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inconclusive

Listing: Out Of Stock Or In Stock Products

Hypothesis

If we implement 'Out Of Stock Or In Stock Products' on listing pages (In this experiment, search results and listing pages received two additional filters to remove out-of-stock and in-store-only items), then key conversion metrics will improve.

LayoutCategory PageCross-Industrystockfilterlayoutsearch

Test Results

220,773
Sample size

Key Learning

Context: Users can't quickly find relevant products or content on the listing, leading to frustration and early exits.

What was tested: REAL-WORLD TEST: 'Out Of Stock Or In Stock Products' was tested on a live listing page. The test involved 220,773 real visitors. Full statistical results require paid access. Test methodology: In this experiment, search results and listing pages received two additional filters to remove out-of-stock and in-store-only items. This reduced the ...

Result: No statistically significant difference was detected. No significant difference suggests users adapted to the change quickly, or the variation didn't address the actual friction point. Try testing more targeted elements.

How to Apply This to Your Site

This experiment tested listing: out of stock or in stock products 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 layout tests typically require large sample sizes to detect small effects. Run your test for at least 2 full business cycles to account for weekly traffic patterns.

What Was Tested

In this experiment, search results and listing pages received two additional filters to remove out-of-stock and in-store-only items. This reduced the number of results shown by default. The impact on add-to-cart actions, checkout flows, and completed sales was measured.

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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