A/B testing and experiments

An A/B test shows two or more versions of a page or feature to different shoppers at the same time, then compares how each group behaves. For a store, the point is to find out whether a change helps orders before you show it to everyone. A new product page layout, a free shipping message, a shorter checkout or a different hero image can each help, hurt or do nothing, and opinions in a meeting are a poor guide to which.

The tools here split traffic, track the goal you pick, such as add to cart, checkout started or order placed, and tell you when the difference is unlikely to be chance. Some use a visual editor that lets a marketer change a page without code. Others run tests inside the code itself, which suits changes to search ranking, pricing logic or anything the visual editor can't reach. A few are built only for Shopify themes and test whole templates against each other.

Traffic decides what is possible. A test needs enough visitors and orders in each version to show a real difference. Stores with modest traffic should test bold changes on high-traffic pages and accept that small tweaks will never reach a clear result. Most tools include a calculator that estimates how long a test will need to run. Use it before you start, and don't stop a test early because one version pulls ahead in the first few days.

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7 AI conversion tools in a/b testing and experiments

Convert Experiences

by Convert Insights

A/B testing tool focused on privacy and speed, with a visual editor, code editor and integrations with analytics tools.

  • Works with Shopify

Shoplift

A/B testing app built for Shopify themes, so you can test templates, sections and page designs without code.

  • Works with Shopify

Optimizely Web Experimentation

by Optimizely

Experimentation platform for running A/B and multivariate tests on web pages, with a visual editor and a stats engine for reading results.

  • Developer API

VWO

by Wingify

Testing and conversion suite with A/B tests, split URL tests, heatmaps, session recordings and on-page surveys in one account.

  • Free plan or free tier

AB Tasty

Experimentation and personalization platform with client-side and server-side tests, aimed at retail and travel brands.

  • Developer API

Kameleoon

Experimentation platform covering web tests, feature flags and AI-driven targeting for product and marketing teams.

  • Developer API

GrowthBook

Open source feature flagging and experimentation platform that reads results from your own data warehouse.

  • Free plan or free tier
  • Developer API

AI features in this category mostly help with ideas and copy. They suggest what to test based on page data, write variation headlines and summarize results. A few allocate traffic automatically toward the version that is winning, which earns more during the test but makes the final answer less precise. Know which mode you are using.

When you compare tools, look at how the script loads. Client-side tests change the page after it starts loading, and a badly set up test can cause a flicker where the original shows for a moment before the variation. That flicker can skew results and annoy shoppers. Ask about anti-flicker settings, page speed impact and server-side options. Also check how results connect to your analytics tool, so test data and store data tell the same story.

Finally, keep a log of every test: what you changed, why, how long it ran and what happened. A store that has run fifty small tests and written them down learns far more than one that ran a single big redesign and kept no notes.

Questions about a/b testing and experiments

How much traffic do I need to run A/B tests?

It depends on your current conversion rate and the size of the change you hope to detect. Small stores can test, but each test runs longer, and only large differences will show. Use the sample size calculator in your testing tool before you launch, and pick pages with the most traffic.

Will a testing tool slow down my store?

It can. Client-side testing scripts load on every page they cover and may delay rendering. Ask how the script loads, turn on anti-flicker settings, test on a real phone and remove old tests when they end.

What is the difference between client-side and server-side testing?

Client-side tests change the page in the browser after it loads, usually through a visual editor. Server-side tests decide the version before the page is sent, which needs developer work but avoids flicker and can test deeper logic such as search ranking or pricing.

Should I let AI pick the winning version automatically?

Automatic traffic allocation sends more visitors to the version doing best during the test. That can earn more in the short run, but it makes the final comparison less certain. Use it for short promotions and use a fixed split when you need a clear answer.

Can I test prices with these tools?

Some tools support price tests, especially apps built for Shopify. Price testing has legal and customer trust risks, since two shoppers may see different prices for the same item. Check the rules where you sell and read the pricing category for tools built for this job.

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