What is A/B test
Jan 25, 2024 0:38:09 GMT -5
Post by account_disabled on Jan 25, 2024 0:38:09 GMT -5
Those who don’t take risks don’t drink champagne, and those who don’t experiment lose conversion over time. Today we’ll talk about a method that allows you to test hypotheses and makes experiments on your website and advertising safe. A/B testing is actively used by Google, Amazon and eBay to become even more popular. Read about the capabilities of the method and how to conduct tests correctly. Reading time 7 minutes AB Test - what is it? How to conduct an A/B test How to do an AB test: tips Summary AB Test - what is it? A/B testing is a marketing method that allows you to compare the effectiveness of two versions of a variable. For example, the color scheme in the design of the landing page, ad headings, placement of CTA elements, etc. To conduct A/B testing, the audience is divided into two groups.
Option A is Fax Lists shown first, option B is shown second, and then the result with the best indicators is chosen. split site testing Let's imagine a situation: a marketer has a hypothesis that if the color scheme of the landing page is changed to blue, the conversion will increase. But users are already accustomed to the old design, and this can be harmful. To test the hypothesis, one part of the visitors is shown control option A - the existing version of the landing page. The other part is option B, in blue color scheme. After two weeks, it turns out that users from the second group are more willing to order goods. Now the company can safely change the design.
A distinctive feature of A/B testing is that it compares only two versions of something. For example, you want to add a video to your home page, change the title, and post a customer review. In this case, the conversion of different combinations of these elements will be compared. Video + old title + review, no video + new title + no review, etc. This method is called multivariate testing (MVT) . What may change during A/B testing of a site: heading and subheadings; blocks with information; CTA buttons; registration form; links; wording; images and videos; reviews, etc. Despite its apparent simplicity, A/B testing is widely used by large companies. So, in 2000, Google first conducted a similar test to identify the optimal number of results for a search engine results page.
Option A is Fax Lists shown first, option B is shown second, and then the result with the best indicators is chosen. split site testing Let's imagine a situation: a marketer has a hypothesis that if the color scheme of the landing page is changed to blue, the conversion will increase. But users are already accustomed to the old design, and this can be harmful. To test the hypothesis, one part of the visitors is shown control option A - the existing version of the landing page. The other part is option B, in blue color scheme. After two weeks, it turns out that users from the second group are more willing to order goods. Now the company can safely change the design.
A distinctive feature of A/B testing is that it compares only two versions of something. For example, you want to add a video to your home page, change the title, and post a customer review. In this case, the conversion of different combinations of these elements will be compared. Video + old title + review, no video + new title + no review, etc. This method is called multivariate testing (MVT) . What may change during A/B testing of a site: heading and subheadings; blocks with information; CTA buttons; registration form; links; wording; images and videos; reviews, etc. Despite its apparent simplicity, A/B testing is widely used by large companies. So, in 2000, Google first conducted a similar test to identify the optimal number of results for a search engine results page.