When digital marketers create landing pages, design call-to-action buttons, or write emails, it can be tempting to use your own intuition to predict what will get people to click and click. convert. However, basing marketing decisions on assumptions or feelings can hurt results. Rather than relying on your intuition or smart guesses to fully optimize your strategy, it's best to do split testing, or commonly known as A/B testing. What is A/B testing? A/B testing is simply the method used to compare two variables of a marketing strategy to determine which works best. For example, you can apply it to producing blog content.
Imagine that you are considering what type of visual resource to incorporate into your articles. Would videos generate more engagement or is it better to use images to illustrate ideas or concepts? By A/B testing between two blog posts, one with videos and the employee data other with images, you can quickly get an idea of your audience's preferences .Many digital marketers also apply A/B testing to SEO using Google Analytics. The information from Google Analytics helps them get details about the most interacted content, number of users, click-through rate, etc.
They use the different features of Google Analytics to compare multiple variations of websites to discover the best results. Why should you do A/B testing? Ask any SEO agency and they'll tell you that A/B testing has a host of benefits for a marketing team. Although it depends on the variable you want to test, A/B testing is valuable for a business because it is inexpensive but rich in reward. Here are some common goals digital marketers have when doing A/B testing: Increased website traffic Testing different meta titles or web page titles can change how many people click the hyperlink to get to your site from the search results page.