Checkout: Mobile Checkout
Test Results
Key Learning
Problem: Mobile users experience the checkout differently — smaller screens, touch targets, and limited attention require purpose-built design.
What worked: The variant addressed this conversion friction directly. (+5.7% lift)
Takeaway: A meaningful improvement that compounds with other optimizations. CTA changes are fast to iterate — test variations of copy, color, size, and placement independently to maximize this.
How to Apply This to Your Site
This experiment demonstrated that checkout: mobile checkout can produce a +5.7% improvement in conversions. The test was run on a checkout page in the energy & utilities industry. With 8,994 visitors in the sample, this is a robust result.
Before you test: Consider that cta tests typically require adequate traffic to reach statistical significance. This test ran for 22 days — plan for at least that long.
This result reached 95% statistical confidence, meaning there is a very low probability the observed effect was due to chance. Results at this confidence level are generally considered reliable for making business decisions.
What Was Tested
A/B test on checkout testing cta changes.
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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