For this you can use Google Analytics. The following video tutorial from WPBeginner outlines two ways GA can be installed and used for a WordPress site:
Identify A/B testing goals
When you find metrics that can determine whether one variation of an element is more successful than another, you need to set an A/B testing goal or conversion goal for your WordPress site.
For example, you need to Latest Mailing Database increase sales on your product pages. Alternatively, you need to add an image of your headquarters to increase conversions. You can only identify and define A/B testing goals by first defining KPIs.
KPIs (Key Performance Indicators) can be interpreted as a metric that helps you evaluate your business performance and, in this case, the capabilities of your website.
Essentially, the KPIs you will specify will be the metrics that measure your progress towards your conversion goals. For ecommerce, you can define KPIs such as average order value, cart abandonment, ROI on ad spend, customer lifetime value (CLV), and more.
Let's say you're working on a new product launch campaign for an e-commerce site. So you want to send web visitors to a landing page with a freebie in exchange for their email address. You need to track how fast the number of subscribers is growing. Meanwhile, by signing up via email, you can switch and evaluate product purchases. generate hypotheses
Based on user behavioral information and goal tracking data, you need to establish A/B testing hypotheses, such as "reduce your page's bounce rate by adding more visuals".
Testing WordPress page elements without assumptions is like driving without a roadmap. You won't know how to use it, and in the end, you'll never get where you want to be.
That assumption is a bold claim that you need to target. It tells you the feedback and final results from A/B testing. A good A/B testing hypothesis consists of three important elements:
Variables : what will you test? Your content, images, CTA, links? You need to isolate a variable for A/B testing.
Result : the result you want. Depending on the variable, you can increase conversions, increase CTA clicks, or every other KPI.
Logic : Your assumptions must sound plausible and realistic, backed by data. That's why user behavior research is so important, and it's the reason behind your assumptions.
A strong assumption doesn't mean your A/B exam will be a successful one. However, it does mean that you have the initial framework in place for every A/B test you are going to do next.
With each hypothesis and each A/B test, you can learn more about your WordPress site and audience. The more you do, the better you test and the better you can optimize your website for conversions.