A/B Test
Configure experiment settings for an A/B test
The Configuration step allows you to define how traffic is distributed across variations, select the statistical model used to evaluate results, configure experiment activation, enable heatmaps, and schedule when the experiment should run. These ...
Configure audience targeting for an A/B test
Audience targeting allows you to control which visitors participate in your A/B test. Instead of exposing the experiment to all website visitors, you can define specific visitor segments to ensure the test is shown only to the audience relevant to ...
Configure goals for an A/B test
Goals define how the success of your A/B test is measured. Once visitors are exposed to different variations, PageSense tracks the actions associated with your selected goals and compares the performance of each variation. Choosing the right goal ...
Use the Visual Editor for an A/B Test
<br> The Visual Editor in Zoho PageSense lets you create variations of your webpage without changing the original webpage code. You can edit content, change styles, rearrange elements, add or remove elements, and make advanced changes using ...
Configure URL targeting for an A/B test
&amp;amp;lt;br&amp;amp;gt; URL targeting lets you specify the webpages on which you want to run your A/B test. You can target a specific webpage, multiple webpages, or pages that follow a particular URL structure. For example, if you want to ...
Introduction to A/B Testing
A/B testing is a method of comparing two or more versions of a webpage to identify which version performs better. It helps you make data-driven decisions by testing changes with real visitors instead of relying on assumptions. With Zoho PageSense, ...
Declaring a winner in A/B test in PageSense
Remember, A/B testing is not just about running tests and finding the winning variation for your web page, it is also about learning how different factors contributed to the win. Before implementing the highest winning design on your website, it's ...
Understand your A/B and Split URL test results
The A/B test reports in PageSense give you both a quick glance at the overall success measure of your experiment, as well as in-depth visitor metrics for each variation, including the conversion rate, difference interval, significance, and others. ...
Run A/B (or Split URL) test for Google Adwords traffic
In PageSense's A/B and Split URL tests, in addition to the predefined set of target audience segments such as direct visitors, mobile or desktop visitors, and new or returning visitors, you can also create custom audience segments to target visitors ...
Add a revenue goal to your variation
PageSense allows you to measure the revenue generated on your website when your visitor performs a successful purchase or payment transaction on your A/B (and Split URL) experiment page. To track the revenue value for each variation of your ...