Listing: Visible Availability
Hypothesis
If we implement 'Visible Availability' on listing pages (In this experiment, the active availability of a casting call (job offer) was was made more prominent using green text: "Accepting applications"), then key conversion metrics will improve.
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: REAL-WORLD TEST: 'Visible Availability' was tested on a live listing page. The test involved 279,266 real visitors. Full statistical results require paid access. Test methodology: In this experiment, the active availability of a casting call (job offer) was was made more prominent using green text: "Accepting applications". The ...
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: visible availability 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 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, the active availability of a casting call (job offer) was was made more prominent using green text: "Accepting applications". The variation also made the "Join Now" button more prominent as an alternative path to signing up for a membership. The experiment reports on three metrics: clicks on apply, application starts and premium membership sales (measured a few steps further in the funnel).
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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