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A/B Testing:-  A/B testing is the process of comparing two variations as well as two versions of same item and offer the best one in between both of t...

palak231
New Contributor

A/B Testing:-  A/B testing is the process of comparing two variations as well as two versions of same item and offer the best one in between both of them. Well before doing A/B testing you need to be focus on one problem that you want to resolve and after applying A/B testing on them you can resolve this.

First you can understand basic details about A/B testing by below mention points.

1.      A/B testing is also known as Split testing as well as Bucket testing.

2.      A/B testing is the process of comparing two things with each other, it may be application, web pages or software.

3.      Via A/B testing we can compare lots of things like web pages, web applications, websites, emails, software and many more.

4.      A/B testing also helps us to find out which version or which thing is best for you in terms of feature, reliability and other useful features.

5.      A/B testing analyzes overall structure very clearly and always keeps focus on goal to find which one is best.

6.      In very simple words A/B testing is the process of comparing two or more variation of page elements by using variant A and variant B.

7.      In A/B testing A refers to original testing variable as well as control. While B refers to new version of original testing variable as well as variation.

Well there are lots of Purposes for which we do A/B testing which is listed below.

a.      When we want to increase engagement of users.

b.     When we looking to increase conversion rate.

c.      When we want to reduce bounce rate.

d.     When we want to take minimum risk.

e.     For learning and continuous improvement.

f.       For doing new experiment and find out best result.

Example of A/B testing:- In short when we are looking to increase our revenue, user engagement or want to add some feature on this then A/B testing and optimization can helps on this. In some case you can see that hypothesis can make or break your experiment, especially when it comes to A/B testing. Therefore as mentioned earlier we have to make sure that either we are doing work as per planning or not, either our focus is towards one problem or not, either we make planning or not.

Well as an example you can see lots of websites over internet for this, I had also seen a website where after applying A/B testing it is completely boosted, you can also see it by clicking here, it is perfect example of A/B testing, except this you will also get detailed information about A/B testing and other terms.

Hope this complete post will helps you.

Thanks

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