Including a testimonial from your clients into the product page will increase your conversion rate by providing your users with a powerful trust element. To implement such a test follow these steps:
Step 1. Create a new A/B test
From the main left menu choose the ‘A/B Testing‘ option.
From the next window choose New A/B Test to create a new experiment.
Next, you will add an experiment title. Below 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 the HTML source code of the web page you want to start testing.
The second option, “or upload HTML”, is used mainly for the dynamically generated web pages, like the shopping cart page.
Step 2. Create the variation
To create the changes you want, in our case to add the number of items available, you must go to the “Variations” tab and add a new Variation. Here you will find the WYSIWYG editor which will help you make changes to the original version (“Control“) into the new Variation.
To start changing things into the page just click on “+ NEW VARIATION” next to the blue ”Control” button.
Then, you will have to make the change in the editor as we did in our example:
Click on the element before or after which you want to place your customer’s testimonial.
After this select the option ‘Insert content‘ -> Before / after:
A pop-up window will appear in which you have to insert the desired content. Insert the testimonial or testimonials if you wish and click on ‘Insert content‘. ( You can use HTML and CSS if you wish – just click on Source button from the editor to switch to code view )
From the editor menu you can customize the font family, size, color and also text alignment:
This is the final result after inserting the content into your page will look similar to this one:
Step 3. Set your audience
If you want the testimonial to be applied only on one product page you must insert that specific URL using the URL IS condition.
If you desire the experiment to be applied on all product pages you can do this by inserting into the Audience tab only the part of the URL that is common to all product pages by using the URL CONTAINS condition.
After you’ve done managing the pages where you want to run the experiment select the “Segment” of visitors which will be included in the experiment by clicking on the “All visitors” drop-down button.
After that, the “Select a segment” window will appear. From this window, you can choose a segment that has been already created or create a new one.
Once you’ve set the segmentation you can see that under “Advanced settings” link, in the second part of the page, you can add a maximum number of users that will see the experiment (once that number is reached the experiment will stop) and select the devices where you want the A/B test to be visible.
In the end, you have the option to mark it as exclusive, meaning that no other experiments of this type will be triggered for the visitors who viewed this one first, as long as this experiment is still active.
Step 4. Set the traffic allocation & goals
In the next tab, “Traffic Allocations and Goals”, you will select the percentage of visitors that will see the experiment.
This percentage will be randomly extracted from the segment you have decided to use. You can run the test on all of the visitors who are included in the segment or just a part of them (let’s say 50%).
After the percentage of visitors is set you can use the variation traffic selector to modify how much of that percentage will see the “Control” ( original page ) and how much the “Variation” ( the page with the changes ).
In the second part of the page, you will find the “Goals“. A goal is set to track sales, conversion rate, click rate, engagement, bounce rate etc.
There are 3 predefined goals that you can use – Sale ( which works only after the Goal tracking code is inserted on the thank you page of your website – Click here for more details), Engagement and Bounce rate.
Step 5. Schedule and publish the A/B test
The last step of setting up and A/B test experiment is “Schedule”-ing it. Choose for how long to set it live, when to be triggered to your visitors and whether or not you want to receive an email when it has expired.
At the end you can choose to publish it or to save it as a draft:
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.
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