Listing: Single Or Alternative Buttons
Hypothesis
If we implement 'Single Or Alternative Buttons' on listing pages (In this experiment, an additional call to action (Whatsapp link) was added on a listing page of one of Brazil's largest real estate sites.In the variation the 3 calls to action inc), 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: 'Single Or Alternative Buttons' was tested on a live listing page. The test involved 1,416,128 real visitors. Full statistical results require paid access. Test methodology: In this experiment, an additional call to action (Whatsapp link) was added on a listing page of one of Brazil's largest real estate sites.In the varia...
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: single or alternative 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 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, an additional call to action (Whatsapp link) was added on a listing page of one of Brazil's largest real estate sites.In the variation the 3 calls to action include: a link that launched the phone interaction, a general contact lead form, and finally the Whatsapp link (added in the variant). Impact on total lead starts and completions was measured.
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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