A good number of leading eCommerce websites have already developed a method of testing their content. In most cases, they leverage A/B split, A/B/n, and multivariate tests to achieve the same results. While there is nothing wrong with that, they have slightly different arrangements in the long run.

The good news is you can prevent this from happening by taking advantage of A/B split testing tools. But with so many tools out there to choose from, how can you tell whether or not you are counting on the very best? Below are some questions to ask yourself before settling on any A/B testing tool you find.

Before you make up your mind to customize both your settings and goals, you need to determine the current skill level of your team. For example, does your team have front-end development skills? Do they have the programming knowledge for writing complex tests? Keep in mind not every business out there has these resources, let alone every marketing team.

If this sounds like you, it is in your best interest to opt for an intelligent A/B testing tool that allows you to edit your pages without the need for coding. In short, factor in the experience level of your team before investing in the best A/B testing tool.

Now that you have an insight into the current position of your team, you will have to think about the technical requirements of the tool you want to use. For example, does the tool make it easy to track user actions, or will you need to get your IT department to manage the setup? In addition, you ought to keep in mind more features may complicate things for you and your team.

One of the main reasons why you are searching for an A/B testing tool in the first place is to increase your conversion rate rather than spending endless hours mastering a new tool. Any A/B testing tool that allows for automated personalization and helps you achieve this has done its job.

Never rush into using an A/B testing tool because it offers page flow reports. Instead, examine any other features it comes with before deciding on anything. Luckily, you can see more A/B split testing tools here before settling on the best for your needs.