Listing: Social Counts
Hypothesis
If we implement 'Social Counts' on listing pages (In this variation, a number of social proof references were added to a signup modal), then key conversion metrics will improve.
Test Results
Key Learning
Context: Users on the listing need validation from others before committing — without visible proof of success, they hesitate.
What was tested: REAL-WORLD TEST: 'Social Counts' was tested on a live listing page. The test involved 34,676 real visitors. Full statistical results require paid access. Test methodology: In this variation, a number of social proof references were added to a signup modal.
Result: No statistically significant difference was detected. Inconclusive social proof tests often mean the proof type or placement didn't match what users need at that moment. Try a different format or position.
How to Apply This to Your Site
This experiment tested listing: social counts 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 social proof 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 variation, a number of social proof references were added to a signup modal.
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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