Article sections

    The headline is one of the first things that visitors see when they arrive on your homepage. If you want to know which version of your headline converts more, here are the steps that you must follow:

    Step 1. Create a new A/B test

    From the main left menu, select the ‘A/B Testing’ option.

    From the next window choose ‘Create A/B Test’ and enter a name for your experiment.

    Next, you can either add the exact URL of the web page you intend to make changes to into the ‘Enter the page URL you want to edit’ field or add its HTML source code to start testing (‘upload your own HTML code‘ – mainly used for dynamically generated web pages, like the shopping cart page).

    Step 2. Create the variation

    To apply the changes you wish (in our case, changing the headline), you must go to the ‘Variations’ tab and add a new Variation ( ‘+ NEW VARIATION’ ).
    Here you will find the WYSIWYG editor which will help you make changes to the original version (‘CONTROL‘) into the new Variation.

    Make the changes in the editor as we did in our example below.

    A. Click on your headline and from ‘Edit element’, choose ‘Content’.

    a b test edit content

    When you click on ‘Content’, a new window will appear.

    Here you can partially change the already existing content or insert a new one:

    a b test edit content text

    After you click on ‘Save’ the variation will look like this:

    a b test content final look

    B. Next, we show you how you can change the color to make it more visible. From ‘Edit element’, choose ‘CSS style’.

    a b test edit element css style

    In the new window that appeared, you can modify certain aspects regarding the overall aspect of the copywriting such as font-size, font-color, text-alignment etc.:

    a b test edit css style

    After you click on ‘Save’, the variation will look like this:

    a b test css style final look

    Step 3. Choose your audience

    Now that you’ve applied the modifications to your new variation you must manage the pages included in the experiment using rules.
    In our example, we’re targeting the home page so the conditions should be URL is’ – http://www.website-name.com.

    And if you have paid campaigns that use extra parameters for Analytics, you must also add ‘URL starts with’ – http://www.website-name.com? (adding the ‘?’ symbol at the end).

    After the links are entered, select the ‘Segment’ (Target) of visitors that will be included in the experiment.

    When you click the drop-down button, a new window will appear. Here, you have to ‘Select a segment’. From this window, you can choose an existing segment or create a new one. If you want to see how your experiment affects the users faster, we recommend leaving ‘All visitors‘ selected.

    Under advanced settings, you can Limit the number of tested visitors, select the Device type and set the experiment as exclusive.

    Step 4. Allocate traffic and set up goals

    In this tab, you must select the percentage of visitors that will see the experiment. This percentage will be randomly extracted from the total amount of users that have passed the segmentation you decided to use. You can run the test on 100% of the visitors who are included in the segment or just a part of them (let’s say 50%).

    Then, you have to make sure that you split the traffic evenly between Control and Variation. Omniconvert does it automatically for you. If you want to check it by yourself, proceed like in this image:  

    You have 3 main goals set from the start. If you want to add another one just click on ‘Select or create a goal‘:

    Step 5. Schedule and publish the A/B test

    Choose: a) for how long you want it to be live, b) when to be triggered for your visitors, c) whether or not you want to receive an email when it has expired.

    Finally, click on ‘Publish‘. You can also save the experiment as a draft to work on it later.

    DON’T FORGET: After each time you publish or update an experiment, you have to wait 3-4 minutes until it will be visible on your website. If you want to see the changes live instantly, install the OmniTool extension that helps bypass the cache system which generates the delay. You can download OmniTool here.