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.