ANALYZE YOUR A/B TEST RESULTS

or

ENTER THE DATA OF YOUR 2 VARIATIONS AND SEE IF YOU HAVE A WINNER

How it works
The best way to determine what works best for your website is to carry out an A/B test for your landing pages. This simply means comparing two versions of elements on your website to determine which works best. Good examples of where you can apply A/B testing can be found on our blog. see more

So, which bait was better?

visits:conversions:
conversion rate:
A

B

Hooray! Your A/B test is statistically significant!

Test "B" converted 122% better than Test "A"

We are 100% certain that the changes in Test "" will improve your conversion rate.

Landing Page Efficiency Checklistget it now

Importance of Statistical Significance

So you’ve split tested your landing pages and realized that A is better than B. How do you determine whether or not this was a chance occurrence? For example, what if it rained every time you wore a green shirt in a given month? Would you conclude that wearing a green shirt brings rain?

This is why it is important to consider statistical significance when doing AB testing. Statistical significance is a term used in statistical computations to determine the likelihood of a result being a random occurrence. It is usually expressed as a percentage. A significance test score of 5% (or a 95% confidence level) is considered acceptable. This means that the chance of the result being random is very small. However, anything above 5% shows that the result is a chance occurrence.

Statistical significance is calculated using the number of conversions and the number of visitors in each group. Here is a great guide on how to calculate statistical significance. Statistical significance gives a proof beyond doubt that you’re A/B test results are not a chance occurrence. This is why any AB test calculator should test for significance.

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