Best A/B Testing Tools in June 2022

A/B testing is a technique that helps companies determine what changes to their website lead to an increase in conversions. It is an important tool in any marketer's arsenal because it gives them insight into which marketing strategies are working and which ones aren't.

updated May 18, 2022 11:47 AM

19

listed services

1,126

analyzed reviews

113

suspicious reviews removed

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Service

Price

Testing

Visual Editor

Code Editor

Alerts

Free Trial

1

Optimizely logo

Optimizely

Truely score heart icon

5.0/5

321 reviews

Contact company for pricing

Unlimited

Real-Time

2

VWO logo

VWO

Truely score heart icon

4.5/5

231 reviews

Contact company for pricing

Unlimited

In-Product

3

1

Convertize logo

Convertize

Truely score heart icon

4.0/5

33 reviews

$49.00

per month, $588.00 billed annually

Unlimited

Real-Time

14 days

4

1

Crazy Egg logo

Crazy Egg

Truely score heart icon

4.0/5

81 reviews

$24.00

per month, $288.00 billed annually

Unlimited

Real-Time

5

Kameleoon logo

Kameleoon

Truely score heart icon

3.9/5

46 reviews

Contact company for pricing

Unlimited

Real-Time

6

AB Tasty logo

AB Tasty

Truely score heart icon

3.7/5

57 reviews

Contact company for pricing

Unlimited

Real-Time

7

ABtesting.ai logo

ABtesting.ai

Truely score heart icon

3.7/5

6 reviews

$19.00

per month

Unlimited

Real-Time

30 days

8

Webtrends Optimize logo

Webtrends Optimize

Truely score heart icon

3.5/5

16 reviews

$242.61

per month

Unlimited

Real-Time

9

Leanplum logo

Leanplum

Truely score heart icon

3.5/5

66 reviews

Contact company for pricing

Unlimited

Real-Time

10

Inspectlet logo

Inspectlet

Truely score heart icon

3.4/5

72 reviews

$33.00

per month, $396.00 billed annually

Unlimited

Real-Time

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Frequently Asked Questions

Truely is based on AI algorithms that are getting smarter every day.
What is A/B testing?

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.

Why do you need an A/B testing tool?

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.

Is coding required for A/B testing?

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.

Who needs the A/B testing?

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.

What are the types of A/B testing tools?

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.

How to perform A/B testing?

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.

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