[Infographic] 5 Easy A/B Tests You Need to Try on Your Online Store

Robirt Kong
By Robirt Kong

Estimated read time: 1 minute, 48 seconds

What’s one issue online stores face all over the world? Shopping cart abandonment.

We’ve all done it. You’re browsing the product page of an online store and move a product that caught your eye into the shopping cart. However, you never finish that transaction, and the product is lost forever in shopping cart limbo. According to data by conversionXL, 65% of online shoppers who begin a purchase will ultimately abandon their carts before converting. As a customer, you might not think twice about leaving an item in your shopping cart indefinitely. But, cart abandonment is a serious problem for businesses because it represents a direct loss in sales.

Like any serious digital business, you’re asking yourself; how can I reduce cart abandonment on my site?

You invested a significant amount of time and resources towards developing incredible products that customers love. The next step is to increase sales so you can increase your ROI. A great strategy to earn more revenue is to implement and test strategies to reduce cart abandonment. This includes:

  • Developing a user-friendly shopping cart.
  • Testing multiple forms of payment.
  • Adjusting pricing for global customers.

Need a little inspiration to help you elevate the purchase experience on your site? Check out the infographic below to learn five A/B tests that will help optimize your shopping experience and combat cart abandonment!


So why A/B test your Digital Commerce Cart?

The most successful online stores are very effective at converting visitors to the web store into paying customers. You can use A/B testing to find out whether a modified store design will convert better or worse than your current store design.

How do you perform an A/B test?

With A/B testing, you make a copy of your current store pages featuring one specific design change and use a third-party service—or some clever work by your web team—to automatically direct half of your site visitors to one version of the web store and half to the other. After a sufficient testing period has elapsed, analyze reporting data to see which design resulted in more conversions, and implement that design for all store visitors.

Robirt Kong

Robirt is a recent graduate from U.C. Santa Barbara. After spending six months at FastSpring as an intern, Robirt joined the team full-time as a Digital Marketing Specialist. Robirt combines his interest in digital marketing strategy and analytics to assist the team in a variety of projects including Content, SEO, and Paid Media. Outside of work, you can find him spending time with friends, enjoying Downtown Santa Barbara, and learning how to program.
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