A/B Test: Distraction-Free Checkout Tunnel Flow

Exits from checkout to category pages in analytics, or session recordings of shoppers who click a link and never return, indicate that menu and footer links pull shoppers out of checkout. If the links really distract, those exits and step abandonment fall while support contacts hold steady. If abandonment comes from payment errors or the form itself, look there first. Build the variant so shoppers can still go back to the cart and leave the flow, and keep trust badges and contact details off the removal list.

Order completion rate

Compare completed orders to see whether removing checkout navigation improves completion.

Also track

• Step abandonment rateCheck whether abandonment falls at each checkout step.
• Support contactsTrack requests caused by difficulty finding information.
• Return-to-cart rateTrack returns to the cart; keeping an edit path available is an implementation requirement.
• Revenue per visitor (RPV)Make sure revenue per visitor does not fall.

• SimplificationCheck whether removing navigation links changes order completion.
• Missing informationIdentify which removed links lead to questions.
• Required informationKeep shipping terms, returns, privacy and contact information easy to access.
• Exit pathCheck that visitors can return to the cart.
• DeviceReview whether the change matters on mobile, where the flow may already be streamlined.

1. 1Higher completion is not a win if it comes from shoppers no longer being able to edit their cart; read it with the return-to-cart rate and revenue per visitor. If support contacts about information shoppers cannot find go up, one of the removed links may have been needed.
2. 2The finding is specific to this checkout flow and the set of links you removed. Leave the step count alone during the link cleanup; if both change, you cannot tell which one caused the difference. Read the two devices apart, since the mobile flow may already be streamlined.
3. 3If checkout traffic is limited, a small gap may be noise. Test whether the difference in order completion could be explained by chance with the A/B test significance calculator; if it stays unclear, identify the links that raise questions and test a narrower cleanup separately instead of rolling out the variant.