Skip to main content
winner

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.

PricingProduct PageE-commerceindustry_leaketsywinner

Test Results

Key Learning

Problem: Without clear urgency signals, users delay their decision on the product, leading to drop-offs and abandoned sessions.

What worked: implemented this UI change (Nov 24, 2020). Implementation suggests positive internal results

Takeaway: Even small lifts compound — across thousands of sessions, this adds up. Pricing perception changes are high-leverage — consider testing anchor pricing, tier order, and billing defaults as follow-ups.

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 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

ran an interesting experiment on their product pages by trying to clarify the shipping process. In this a/b test we can see that the control version displayed a simple delivery range with text. Whereas the variation displayed a linear shipping timeline with 3 steps - possibly creating a stronger sense of urgency. Checking up on this a few months later, we detected that the variation was implemented.

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