Shopify App : Theme Scientist A/B Tester

Easy AB Testing + Analytics + Theme Scheduling

About Theme Scientist A/B Tester

Increase Conversion Rate : A/B testing shows you which version of products or themes converts better. Run a test, publish the winner, enjoy higher conversion rates.

Get scientific results : Take the guesswork out of wondering which price, layout, or colors are best and use real data. Our app swaps versions and tracks the stats.

Theme Scheduler : Save time and don't worry about being online at a specific time to publish a theme. Schedule themes to publish exactly when you want.

ab testing app for Shopify - Theme Scientist

A/B testing is key to maximizing your conversion rate.

Theme Scientist is an easy to use A/B testing app for Shopify.

Community driven

We're dedicated to providing the best A/B testing tool on Shopify and continue adding new features. We take requests and build features for you.

Increase sales without buying more traffic

Improving conversion rate maximizes the value on your website traffic. A single successful experiment can lead to massive long term gains in revenue.

How to increase conversion rate?

Use A/B testing to compare site elements and product attributes, then get data driven results and implement the winners.

How does Product A/B testing work?

  1. Use the app to select a product
  2. Change the product attributes on version B
  3. Start the test and let it gather data
  4. Check the stats in the app to see which version is winning

The app will swap the 2 versions every day at midnight and track the stats.

How does Theme A/B testing work?

  1. Duplicate your live theme
  2. Make a change to the new theme (maybe the add to cart button color)
  3. Choose the 2 themes to test and start the A/B split test
  4. Check back and analyze your stats to see which website features / version performs better

The app will swap the 2 versions at the interval you choose (daily, hourly, etc) and track the stats: Orders, Sales, Adds to cart, Visitors, Sessions, Page views.

How long to split test?

2 weeks is a good minimum time frame but the longer a test runs and the higher the statistical significance level, the more accurate your results will be.

What is statistical significance?

This is a mathematical formula to predict the probability that 1 version is better than the other.

Theme Scientist includes statistical significance calculations for every A/B test.

Theme Scheduler feature

You can set a theme to publish at a specific time in the future.

This is great for publishing promotions at exactly the time you want without having to be online to make changes or set a new theme live.

The scheduler is also useful for running daily flash sales where new themes / graphics need to be swapped every hour.

Who this app is for

  • If you want to increase your conversion rate
  • If you want to maximize the value of your inbound traffic
  • If you want to learn what customers in your niche respond to best

Built with performance in mind

Our A/B testing works in the backend so this app won't affect your load speed like other apps.

In the store front there is 1 small analytics pixel that loads at the end of the page so it does not cause render blocking.

Rockstar support

We're a team of US based Shopify developers with years of experience building apps. Our focus is optimization and automation. If you need help with anything give us a shout.

App Images
Launch date
March 05, 2020
App rating
Top features

Seamless workflow: use directly in Shopify admin

Speed tested: no impact to your online store

Social media links

About the Author

Matej Kontros

Matej Kontros is an E-Commerce expert and app developer with over a decade of professional experience in IT.

Matej has worked for organisations of all types and sizes, including global players, startups, and agencies. He designed, developed, and maintained complex projects.

Matej's expertise includes e-commerce, software engineering, web development, systems administration, internet security, managing projects, and building teams.

Visit his website at [ Web Linkedin ] or contact him at