Test on product page testimonials using A/B testing


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:

1. Log into your account and click on the A/B Testing feature from the menu:

a b testing feature menu

2. Select ‘New A/B Test‘:

new a b test

3. Load the URL of one product page that you desire to include in your experiment:

experiment load url

4. Click on ‘New Variation‘:

experiment new variation

5. Click on the element before or after which you wish to place your customer’s testimonial.

After this select the option ‘Insert content‘ -> Before / after:

experiment insert content

6. 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 )

experiment content testimonial

From the editor menu you can customize the font family, size, color and also text alignment:

experiment content color font alignment

This is the final result after inserting the content into your page will look similar to this one:

experiment content final look

7. 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.

experiment one product page

8. 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.

a b test segmentation

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.

create new select existing segment

9. 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.

10. 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 ).

a b test traffic allocation

11. 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.

a b test goals

12. 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.

a b test schedule

13. At the end you can choose to publish it or to save it as a draft:

a b test publish save 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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