Shoplift ‑ A/B Testing

Wow, our store AleHorn.com is already benefitting from this product!

It's been just a few days and we have successfully deployed multiple A/B tests in a matter of minutes.

THIS APP IS GAMECHANGING for ecomm stores on Shopify. Unlike all those other 3rd party apps where your trying to mess around with all these tests and learning curves, we literally set up live tests on our onboarding call.

It's crazy how much we can save from having someone focused on CRO because we're getting it all within the shoplift dashboard.

In one hour ive set up a homepage A/B test, Collection page test, LP test (for our fb traffic), and product page test. We'll soon select which test wins and implement easily after.

This app literally has taken the headache out of Conversion Rate Optimization for AleHorn. It's actually FUN to use.

Highly recommend this app if you want no-brainer growth with the simplest app ever to use. Plus their team is actually smart and available.

Our store ran 2 tests with shoplift and i am extremely pleased with the app. My highlights are the ease of use (no coding experience needed to get the test up and running) and the UX. In the past I worked with Google Optimize and Optimizely, while the features are somewhat less robust on ShopLift, I'd argue it is a strength - at least in the UX sense. The ShopLift team is responsive, friendly and knowledgeable.

Been looking for something like this. Not only does it help remove the guesswork of a/b testing but also helps you quickly gain accurate insights. They make it insanely simple and easy to a/b test landing pages and all kinds of details on your homepage and product pages. I recently changed the order of my homepage, using the insights I got from the a/b test and I'm already seeing an increase in conversion rate!

We used Shoplift very successfully to determine homepage behavior ahead of redesign strategy discussions for our site. It was super helpful for us to play around with the order of our template-based homepage to gauge engagement based on placement of certain content blocks.