Split test

What is a split test?

A split test — often called an A/B test — shows two or more variants of a page or element to separate slices of live traffic at the same time and compares a chosen metric, typically conversion rate. Because visitors are split randomly and tested in parallel, you isolate the effect of the exact change you are testing instead of guessing from before-and-after numbers. A pure A/B test changes one element on the same URL, while a split-URL test sends segments to entirely separate pages.

Why does a split test matter?

In an online store every assumption costs money: a new button label, image, or price can just as easily lower sales as raise them. A split test gives you actual evidence instead of a gut feeling. Always run the test until it reaches statistical significance and an adequate sample size — stopping early on a handful of visitors risks crowning a random winner.

Common use cases

• Testing CTA buttons: label, color, and placement on product pages.
• Pricing and free-shipping thresholds to see the effect on average order value.
• Product images, titles, and descriptions against each other.
• Checkout flow, form fields, and payment options.
• Landing page layout and headlines for paid traffic.

Shopify perspective

Shopify has no native storefront A/B testing, so most merchants use apps such as Intelligems, Shoplift, or Neat A/B Testing to split traffic and measure results. Avoid running several overlapping tests on the same traffic at once, since they can contaminate each other’s data — isolate the tests or run them sequentially. Also verify that the app’s split does not create duplicate pages or flicker that distorts both measurement and the user experience.