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: How prices are displayed on the product directly influences perceived value and willingness to buy.

What worked: implemented this UI change (Oct 27, 2021). 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

just ran an a/b test of how prices were displayed on their product pages. The three related changes were detected as a single variation and it now seems like the experiment ended up being rejected - suggesting a loss or insignificant outcome. Although the changes were confounded, based on some positive data related to showing availability, perhaps removing the "In stock" copy was one change too many. Here is what the experiment looked like:

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