Optimizing your online store with A/B Testing

In this article, we're going to learn how to apply A/B Testing to improve your user’s overall experience, increasing your conversion rates in the short-term and over time.

How to create an A/B test 

The feature is available on the Professional and Advanced plans. Then kindly consider upgrading to those plans to experience the new feature.
  • Step 1: Click on A/B Testing feature from the left sidebar > Create New Campaign

  • Step 2: Enter the campaign's name > Next



  • Step 3: Select the Original page and the Variation page > Create.  



Campaign Settings 

  1. Test Duration (days): you can choose how long the campaign is going to last.  
    • Step 1: Hit the Settings button. 

    • Step 2: Choose the timeframe with the plus and minus buttons > Save

     

  2. Set traffic percentage for the Original page and Variation page

    • Step 1: Click the pencil button.  

    • Step 2: Use the slide bar to adjust the percentages for each page> Save

     

  3. URL link of the Original page and Variation page: both of the pages will share the same URL which is placed on Original page.




  4. Actions: You can change the name, edit,  preview, or duplicate the pages. 

Campaign status 

  • On hold: When the campaign doesn't get started yet or being paused temporarily. 
  • Running: The campaign is in the process. 
  • Completed: After the test duration runs out of time. 

Campaign report 

During the campaign is running or when the campaign is completed, you can check the reports from Google Analytics by clicking on the button on the left of the settings button. (Check out this article to know to connect your campaign with Google Analytics) 




Campaign report

 

  • Traffic Weight: The traffic percentage that was assigned to each variant. 
  • Unique Pageviews:  represent an aggregate of pageviews generated by the same user during the same session (i.e. the number of sessions during which that page was viewed one or more times).
  • Pageviews: The total number of times the page is loaded or reloaded in a browser.
  • Add to Cart: how many time Add to Cart button has been clicked 
  • Add to Cart rate: is the number of the Add to Cart divided by the total number of Pageview.  
The first event report will be updated within 24 hours, after that, it will be updated every 30 - 60 minutes. And AB testing report will be updated based on Real-time repost from Google Analytics. 

When it's done right, A/B testing demonstrates the efficacy of potential changes, enabling data-driven decisions and ensuring positive impacts. Since this is still a Beta version then we'll highly appreciate your constructive feedback to make it become a more efficient and powerful feature for your online store. 

 


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