All Resources
Continuous Conversion

Infographic: A/B Testing vs Continuous Conversion: 5 Key Differences

Thank You for Registering!

March 9, 2022

Mar 09, 2022

Looking forward to seeing you at the webinar!
Check your inbox for a confirmation email and calendar link.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Brought to you by

Fill out the email field to reveal video.

Pardot Form Goes Here

It’s no secret that a low-converting website is the biggest squandered opportunity in marketing. That’s why it’s critical for your marketing team to optimize and personalize your website so that it resonates with your visitors and drives more conversions and revenue. But with so many website optimization approaches available to marketers these days, how do you know what’s right for you?

Two common, but vastly different, approaches to website optimization are A/B testing and Continuous Conversion, powered by machine learning. At a high level, A/B testing is useful when you can have one—and only one—version of your site shown to all of your visitors. Whereas Continuous Conversion is best leveraged when you want to deliver the most relevant page experience to each unique visitor in real time and are okay with each visitor having their own experience. 

As you can see, each optimization approach impacts the visitor experience and the user experience (your experience!) differently. 

So let’s dig deeper. Check out our new infographic which explores 5 key differences between A/B testing and Continuous Conversion.

To learn more about the pros and cons of A/B testing vs Continuous Conversion and key questions you should be asking prospective optimization vendors, read our Buyer’s Guide to Website Conversion Optimization Solutions.

Featured Speakers:

No Guests for this Webinar

Webinar Details

No items found.

Talk to sales.

Start converting more leads today.

Talk to sales.

Start converting more leads today.