Today we shared exciting news about the release of a new SiteSpect feature, Origin Experiments®, which helps product teams and marketers test how your site works, not just how it looks.
A/B test campaigns often try to improve the online user experience in order to increase key performance indicators such as conversion and engagement. But, what happens when our ideas for improvement, tested in A/B test campaigns, have unexpected results?
If you are like most digital marketers, you are doing everything you can to optimize your website. One of the best ways to optimize your site is through multivariate testing, which is a technique that enables your visitors to tell you what’s working on your site and what isn’t. In a multivariate test, variations of your site’s content are presented to visitors. As visitors navigate through the site, their behavior is tracked to determine how each content variation affects marketing goals such as conversion, registration, retention, average order value, and so on.
When it comes to the quality of your site's user experience, testing and optimization are proven techniques to help you scientifically and continuously improve how you engage, convert, and retain your customers.
Successful optimization programs gather momentum over time. While we tend to focus on the trajectory of individual campaigns, I recommend tracking the trajectory of your overall program just as closely; how quickly you gather momentum will depend largely upon how well you understand how you got to where you are today. Here are a few tips to help you get started.
This post will explore ways to create your testing strategy, techniques to identify key optimization opportunities, and best practices to develop a metrics-driven optimization roadmap.
SiteSpect has been recognized as a Leader in "The Forrester Wave™: Online Testing Platforms, Q1 2013" report. SiteSpect was the highest-rated vendor in the category of current offering around "Testing," scoring a perfect 5 out of 5.
Why feature one product when you can feature five? Why highlight one promotion when you can highlight three? If you’ve ever found yourself asking these questions then you have likely considered, or even implemented, a content carousel.
The frontier between testing and targeting is not always clearly defined, and the decision to choose one or the other can get confusing. To make matters more complicated, there are several targeting approaches to choose from, including behavioral targeting and personalization. As an online marketer, should you care about the differences between each technique? Are there specific cases where one technique is more efficient than the other?