Now, more and more brands are beginning to discover the importance of hard data. Whether you want to optimize your landing page, blog post, beckon button, or other parts of your WordPress site, segmentation testing can provide you with the data you need to improve your decision making and achieve your end goals.
“Segmentation testing (also known as A/B testing or multivariate testing) is a method of conducting controlled random experiments designed to improve the site’s metrics such as clicks, form completions, and purchase rates.”
The reason this test method is so popular is that split testing can help testers get results and solve problems. Let’s take a look at how you can use the split test to test your WordPress site and how to use it:
Reduce Bounce Rate
Google Analytics defines bounce rates like this:
“The number of single-page visits divided by the total number of visits, which is the percentage of total visits on the site, means that the user only viewed a single page and only triggered a single request to the Analytics server.”
A high bounce rate ratio means that most visitors choose to close after visiting your site without browsing other pages or viewing the site’s content in detail. This is definitely not a bad thing, but it also shows that your website is definitely a problem.
Split testing allows you to visually compare which ones visitors are more inclined to. For example, try two different titles for the same page. After this comparison, you can make adjustments to improve the user experience and reduce the bounce rate of visitors.
Participation represents everything. Whether you’re selling on the WordPress site or writing a blog, you definitely want users to interact with your content as much as possible.
These interactions may be to read a few more articles about your blog, browse the landing page carefully, or take a close look at your “About Me” page. Either way, the more visitors interact with your site, the closer you are to your goals.
Segmentation testing is a natural catalyst for improved engagement, allowing you to assess the responsiveness of your visitors and improve the content of your website to create a better user experience.
Improve Conversion Rate
The low bounce rate and high participation mentioned above mean one thing: more conversion rates. If the initial design of your landing page doesn’t appeal to visitors, this will result in low conversion rates.
Experimenting with your candidate design with a split test will help you optimize your landing page so you can keep your visitors. This approach can increase the perceived value of your brand and make your product look more attractive, increasing your website’s conversion rate.
If you are using the WordPress website to run a business, then split testing will definitely help you increase sales. Once you’ve processed your site design and content issues, you can implement further optimizations and adjustments.
These efforts will give your visitors a smoother and more seamless user experience that will lead them more effectively into the digital sales channel.
The website owner may be wondering if it is reasonable to test the variables. How long is the test time? Is there a clear test time?
In general, the greater the amount of data involved in the test, the higher the accuracy of the test results. You generally need to reserve enough time for the split test to ensure that the test can generate enough data to get accurate results.
And this depends a lot on the traffic to your site. If your site has a lot of traffic, you probably don’t need to test it for a long time like when traffic is low.
Although the time required for each website is different, it usually takes two to three weeks to generate enough data. If you are using Google Analytics, remember to check the confidence interval of the report, and Google will reveal to you which program won the final victory. (Related article recommendation: How to submit a website to Google search engine )
Also, be aware of all potential anomalies that can cause data skew. Compared to the split test on non-holiday weekends, a split test that evaluates e-commerce conversion rates during the Black Friday holiday weekend may collect more skewed data.