Best A/B Testing Tools in June 2022

A/B testing compares two versions of a webpage to determine which one performs better. This is a valuable tool for web designers and marketers because it helps them see what changes in their design will be most effective.

A/B testing tools give you invaluable insights into which version of your site performs better and give you a clear sense of what to correct or remove. These insights are crucial for increasing conversions or engagement.

Coding knowledge is not necessary for simple A/B testing as A/B testing tools are designed to execute on simple clicks or test section flips. You will have to code if you need sophisticated multi-element testing or deep browser-level customization.

Marketers

Marketers who want to optimize their websites need A/B testing tools to easily access analytics that will help them understand their customers' behaviors and preferences.

Web designers

Web technicians use A/B testing tools to identify page elements that cause user friction and reduce conversion rates. These tools can determine which images lead to more clicks and conversions for different marketing campaigns. A/B testing tools also provide insights into user behavior by creating tests out of samples from live audiences.

A/B testing can be done in various ways, such as split test, multivariate test, or multipage testing. The goal is to find out which version is more effective.

Split URL testing

You can test radical changes by using split URL testing to experiment with a new version of your website. Your website traffic is split between the original and the variation with the other URL, so you can check which website has the better conversion rates.

Multivariate testing

You can change several variables at once to test a hypothesis. The objective is to identify which combination of variations performs best among all possible combinations.

Multipage testing

You can experiment with changes to particular elements on multiple pages. With multipage testing, you can create new versions of your sales funnel and test how the presence or absence of recurring elements like security badges influences conversions across an entire funnel.

Step 1. Research

Research how your website is currently performing. You need to collect information on how much traffic your website receives and which pages drive more traffic.

Step 2. Formulate hypothesis

Formulate your hypothesis about ways of increasing conversions.

Step 3. Make variations

Create variations based on your hypothesis. Variations are new versions of your current page with the changes you wish to make.

Step 4. Run tests

Run split URL tests, multivariate tests, or multipage testing.

Step 5. Analyze results

Analyze your results and implement changes. If the test is inconclusive, use the current information you have and implement it in your new test.