Skip to main content
inconclusive

Shopping cart: Free Shipping

Hypothesis

If we A/B test Free Shipping on shopping cart pages, then we can measure its impact and determine if it suits our context

Test Results

Key Learning

Context: Friction during the shopping cart process causes users to abandon right when they're closest to converting.

What was tested: has been validated across multiple real A/B tests. Use this as a high-priority test hypothesis backed by industry meta-analysis.

Result: No statistically significant difference was detected. Pricing tests that are inconclusive may indicate the price itself isn't the issue — the perceived value or the framing might matter more.

How to Apply This to Your Site

This experiment tested shopping cart: free shipping but produced no statistically significant change. The test was run on a cart 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 pricing 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

Testing whether Free Shipping improves conversion performance. This is a meta-pattern derived from multiple A/B tests across different companies. Applicable to product, shopping-cart page types.

Methodology

Confidence Level
70%

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

Explore More Experiments