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What Is A/B Testing? A B Test

What is A/B testing?

What is A/B testing?

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(e.g. headline, call to action, photography, adding a video etc.) – you can lead to new versions (or variants) about your folio to inside or into|arrive} into the experiment.

What is A/B testing?

An instance about coming in folio A/B testing

Naming Conventions

Champion folio

When you perfect a test, you decide upon a winner (the folio accompanied by the leading conversion performance). This is the winner page.

What is A/B testing?

Challenger page(s)

When starting a test, you lead to new versions (variants) to dare the existing winner page. These are called challengers.

Page variant

This is a term appropriate to any new form about your coming in folio included inside the test. The winner also any challenger pages are all variants.

Assigning traffic mass inside an A/B test

Traffic is randomly assigned to every single folio different based upon a predetermined weighting – appropriate to example, provided you are running a try accompanied by 2 folio variants, you force split the traffic 50/50 or 60/40. Visitors are typically cookied so that they will habitually see the same form about the folio (to maintain the integrity about the test). The chief element that decides how much mass you would attribute to your folio variants during a try is timing – whether you are starting the try accompanied by many variants at the same time or trying new ideas against an accepted page.

Starting accompanied by many folio variants

If you are starting a drive from scratch also own several ideas about which course to take, you can lead to a new coming in folio different appropriate to every single idea. In this scenario you would most inclined assign equal mass (traffic) to every single page. The reason being that you want to treat them equally also select a winner (champion) as soon as possible. You miss to drive a convinced amount about traffic via try pages earlier than the results are statistically important or valid, also as you own no conversion data on any about the pages, it makes sense to begin your test from a position about equality.

Testing against a pre-existing page

If you own an accepted folio that you want to try some new ideas not in on, you would give your new folio variants a smaller percentage about traffic than the existing winner to mitigate the risk inherent accompanied by introducing new ideas (which may not perform well).

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