Google Analytics Content Experiments is a free A/B testing tool that’s integrated with the Google Analytics suite. It only allows for pure split-testing, and the user has to decide the different variations. You can also run experiments on AdSense results. If you want to conduct experiments with your apps, you can use the Experiments API, or you can create those experiments in Tag Manager. You can also use the API for web-page experiments. Google Analytics allows you to compare how different web pages or app screens perform using a random sample of your users, define what percentage of your users are included in the experiment and choose which objective you’d like to test. It also gives you updates by email about how your experiment is doing.
Split testing enables website owners like yourselves to make informed decisions about the changes on your website. You can do so by comparing the impact these changes have on your metrics with half of your traffic driven to the
A/B Testing ToolsA/B testing (split testing or bucket testing) helps users evaluate their decision’s success without losing out on potential customers. It is the process of comparing two different versions of a webpage (or any other content like
A/B Testing ToolsOptimizely stopped disclosing their pricing publicly in 2014 and since then can only be availed "On Request". Since the prices are quoted by their Sales agents, they might differ from customer to customer especially for the high
A/B Testing Tools OptimizelyA/B testing allows you to compare two different versions of a page to see which one performs better. When you run an A/B test, you compare one page against one or more variations that contain one major difference in an element of
A/B Testing ToolsNo, A/B testing does not affect your search ranking or SEO. The reason is that search bots do not execute JavaScript, the method used by most A/B testing tools. Google has its own tool for A/B testing and does A/B testing itself,
A/B Testing Tools