Ecommerce websites know how important is it to do regular A/B testing. And if you need to change your website code every time you create an A/B test, you are bound to get slow and very frustrated. We already have an integration with BigCommerce, one of the most popular online store SaaS. Now we have come up with a fantastic A/B testing extension for most popular open source eCommerce solution: Magento.
The A/B testing extension for Magento is dead simple to install and does not require you to fiddle with any of your template source code. Creating A/B test is as simple as installing the Magento plugin and then creating an A/B test in Visual Website Optimizer. That’s it! No more painful changes in website code to get a simple Add-to-cart button test done.
Let us know if the extension is useful! Hope you get great results for A/B, split and multivariate tests on your eCommerce store.
Note: You will still need to add additional code for revenue goal and the custom conversion goal.
Is pricing information more important than pricing page design? Does design on pricing page influence conversions at all? These are some of the questions that Basekit.com, world’s most flexible website builder, wanted to answer through their latest A/B test. BaseKit allows you to quickly and simply create, host and manage your own website in 100% W3C-compliant HTML. It’s an awesome tool and we are lucky to have them as one of our customers.
This case study is about A/B testing of BaseKit’s pricing page and how a redesign of it increased conversions by 25%. They wanted to increase the number of people who visit ‘Buy Now‘ page after visiting their ‘Plans and Pricing‘ page so that was the conversion goal measured in the test. (For their follow up tests, we recommend Basekit to use Visual Website Optimizer’s revenue tracking feature to make sure that not just conversions but total sales is also measured for different variations. This will get a better idea of performance of variation). The traffic that arrived on pricing page (which was tested) is primarily paid, so it is already focused and targeted. Here is how the pricing page originally looked like:
Original pricing page
In their own words, the variation had “Bolder, brighter, clearer pricing, nicer design, testimonial, more obvious currency selection.” Here’s how the variation looked like:
Redesigned pricing page (25% increase in conversions)
The new design reached a 95% statistical significance within 24 hours. It was a consistent 25% improvement for the entire duration of the test. They weren’t surprised, but were reassured to see that our improvements had the desired effect. As a follow up test, they are creating yet another redesign of this new pricing page and then do another A/B test. (Continuous A/B testing is key to increasing conversions. Sometimes you get results, sometimes you don’t but if you do lots of A/B tests, you are bound to see some improvements).
Regarding usefulness of Visual Website Optimizer, here’s what Chris Gilfoy, Head of Search at Basekit had to say:
Hugely valuable. I’ve been a fan of VWO for a long time and it was great to take it to a new brand and show how powerful, yet easy to use it is.
This excellent A/B test shows that not just actual pricing details but design of the pricing page is very important. So, when are you going to test your pricing page? (By the way, we are planning to test our pricing page too! Let us know in the comments if you have any ideas for improvement.)
Usually you have a pretty good idea of what to A/B test on your landing page (We have 25+ A/B testing case studies in case you need to read those). But once you exhaust all those testing opportunities, you are back to square one. The most logical step is do a proper planning of next phase of A/B testing. Meanwhile if you want to do quick testing, what do you test? In this post, I intend to compile list of 23 quick A/B testing ideas. Here you go:
If you have any more ideas, please leave a comment below. I have tried to include as many ideas as I could think of, but of course, there is no limit to what all you can test!
All ecommerce website owners know how important the add-to-cart button is. They would do anything to have a visitor click on that button because that’s where the actual sales process starts. Because of its importance, many eCommerce retailers start A/B testing variations of that button to improve click through rate. That’s precisely what Trinity Insight, a Visual Website Optimizer customer did for their client: Taylor Gifts.
Trinity Insight is a leading eCommerce consultancy that has helped numerous clients increase conversion rate. (They are also one of our certified agencies). We interviewed Nate Ende of Trinity Insight to talk about the A/B test they recently did to improve add-to-cart clickthrough.
What was the conversion goal of the test?
The premise of this test was to try to improve on the add-to-cart goal of the product page (of TaylorGifts.com).
On which page did you run the test?
The dynamic product page. Here’s an example. (Editor’s note: they used Visual Website Optimizer’s advanced mode to create a test that runs across thousands of dynamic product pages on TaylorGifts.com)
Which part of page did you select for the test and what variations did you test?
Here’s what the original product page looked like:
Original product page
We ran an A/B split test, however we focused mainly on created a buy box with all of the information relevant to the buying decision located in close proximity of the add to cart action. Here’s the variation we tested:
Variation product page (10% increase in clickthroughs)
Why did you think that the variations you created had better chances to beat the original? What were you actually testing in this test?
We felt that presenting this information could help people find the information they needed to make a decision faster and in a more convenient location therefore making them more likely to place the item in their cart.
What results did you get? Were you surprised by the results?
We experienced a 10% lift in the goal conversion on this page and the overall eCommerce conversion rate of the test subjects went from 1.53% on the control to 3.23% on the variation. Needless to say, our client is very happy with the result!
Any lessons which can be derived from your test?
How valuable was Visual Website Optimizer for this test?
VWO was irreplaceable in this test as we’ve done dynamic template tests like this in the past with Google WO and spent an inordinate amount of time creating a custom javaScript and would then need to work with the clients IT team to implement on their site whereas we were able to accomplish the same test with VWO all from within the administration area.
