{"id":4191,"date":"2021-12-15T17:45:22","date_gmt":"2021-12-15T17:45:22","guid":{"rendered":"https:\/\/vendlab.com\/?p=4191"},"modified":"2022-01-01T20:12:41","modified_gmt":"2022-01-01T20:12:41","slug":"google-optimise-a-b-testing-and-multi-variate-testing","status":"publish","type":"post","link":"https:\/\/vendlab.com\/google-optimise-a-b-testing-and-multi-variate-testing\/","title":{"rendered":"Google Optimise, A\/B testing and Multi-variate testing"},"content":{"rendered":"
Once you have your website analytics package installed, you can start to understand its performance and look for ways to improve it.<\/p>
A web page consists of several disparate elements, all of which work together to influence your users in ways that are not always intuitive. As a result, the only way to truly test page effectiveness is to change a page and see what happens. This involves:<\/p>
Analyse<\/strong>. Analyse your analytics data to look for underperforming areas.<\/li>
Hypothesis<\/strong>. Generate a testable hypothesis about your website. For example, if I make the buy now button green, it will increase revenue by 10%.<\/li>
Test<\/strong>. Run an A\/B test or a multivariate test to test your theory.<\/li><\/ol>