A/B testing is comparing two versions of a web page to see which one is better. This is done when comparing two web pages by showing two variants to similar visitors at the same time. The winner is decided by the overall highest conversion rate. The main goal for all websites is to have a reason to exist. They want consumers to visit their website and buy their products/ services. Measuring the performance of a variation (A or B) means measuring the rate at which it converts its visitors to potential buyers.
Why Use A/B Testing?
This method allows you to get the most out of your existing traffic. Although the cost of acquiring paid traffic can be high, increasing your conversions is more budget friendly. The overall Return On Investment (ROI) of A/B testing can be substantial. This can be done by making simple improvements such as changing parts on a landing page or website. Inevitably, resulting in significant increases in leads generated, sales and revenue.
What Can Be Tested?
Basically anything available on your website that plays a role in visitor behavior can be A/B tested. Some examples are listed below:
- Sub Headlines
- Paragraph Text
- Social Proof
- Media Mentions
- Awards and badges
More advanced testing includes sales promotions, pricing structures, free trial lengths, paid delivery and much more.
SEO Combines with A/B Testing
Here are some guidelines for running an effective A/B test with little impact on your websites’ search implementation.
- Use 302s, not 301s: Using a temporary redirect instead of a permanent redirect will help to keep the original URL in their index rather than replacing it with the target of the redirect.
- No Cloaking: Do not show different content to humans and Googlebot.
- Run when necessary: Time for each reliable test will vary depending on certain factors, such as conversion rates and how much traffic has been driven to your site. Once you have collected the necessary date and a conclusion has been made, you should update your site with the correct adjustments.
In order to have a successful A/B testing experiment, you need to follow a certain process. Below include the steps to achieve the desired A/B testing results.
- Understand your Website Data: Analytic tools such as Google Analytics helps with finding problem spots in your conversion focus.
- Be Aware of Your Users: Knowing what appeals to your visitor’s aids with conversion. Make sure to please the consumers because they are the main reason for your site’s success.
- Form a Hypothesis: Create a hypothesis that intends to increase your conversion rate.
- Test Said Hypothesis: In order to increase conversion, you need to figure out the most strategic and efficient way to achieve your hypothesis.
- Analyze and Form Conclusions: Analyze the A/B test results to see which variation received the highest conversions. The obvious winner should be implemented. If results are inconclusive, repeat and reconstruct initial hypothesis.
- Inform Others: Let other people in related fields aware of test results and the visions generated.