Product: Product Page
Hypothesis
If we test a similar change on our product pages as tested, then our conversion metric will likely improve based on their implementation decision.
Test Results
Key Learning
Problem: Friction during the product process causes users to abandon right when they're closest to converting.
What worked: implemented this UI change (Mar 29, 2021). Implementation suggests positive internal results
Takeaway: Even small lifts compound — across thousands of sessions, this adds up. Trust signals work best near decision points — test specific placements around forms, pricing, and checkout for maximum impact.
How to Apply This to Your Site
This experiment demonstrated that product: product page can improve conversions. The test was run on a product page page in the e-commerce industry.
Before you test: Consider that trust tests typically require adequate traffic to reach statistical significance. Run your test for at least 2 full business cycles to account for weekly traffic patterns.
What Was Tested
(Canadian) recently ran this A/B test where they added these three little reassurances on some of their products. This experiment is similar to the maturing Benefit Bar pattern that addresses common objections to a purchase.
Methodology
Build On These Learnings
Save your own experiments, spot winning patterns across your test history, and stop repeating what's already been tried.
Related Experiments
Product: Product Page
Problem: The primary call-to-action on the product isn't converting at its potential — design, copy, or placement may be the bottleneck.
Product: Gradual Reassurance
Context: Multi-step processes on the product can overwhelm users if they can't see how far along they are or how much is left.
Checkout: Bulleted Reassurances
Context: Friction during the checkout process causes users to abandon right when they're closest to converting.
Checkout: Money Back Guarantee
Context: Friction during the checkout process causes users to abandon right when they're closest to converting.