A/B Testing with Google Analytics

A/B testing is when you have two very slightly different versions of whatever it is you are testing. A/B testing is when you have two versions of your website, split the traffic between the two versions, and see which version has a higher conversion rate. Although it has been shown time and again that website owners who properly implement A/B testing achieve higher conversion rates and a higher return on investment than those who do not, many marketers do not perform this test.

Create marketing tools

Whether it is a sales page, a newsletter landing page, or any other page, the design should be created in two parts. The two landing pages (A and B) should be designed slightly differently. For example, each page should have different images, different headings, different buy/call-to-action buttons, etc.

Upload the pages to your site.

You will need the URLs of the pages you want to test; when you collect the URLs, make sure to name each test page so that you know which URL it is assigned to. Keep track of them so that you don't confuse them with each other so that your test results are accurate.

Setting Goals

Of course, your goal is to make more money and increase your return on investment. However, you may have different conversion goals, such as newsletter signups, freebie downloads, sales, and so on. To create a goal, select "Experimental Objectives" within Google Analytics. It is located in "Actions and Experiments". Click on "Create an Experience" to get started.

Give your experiment a name

Deciding on a name for your experiment will help you know which pages will be most effective during testing. Once you've decided on a name for your experiment, set a goal under "Purpose of this experiment." There are several options, including AdSense, eCommerce, and many other goal metrics. Choose the one that works best for your test.

Run the test
Once you have everything set up and uploaded, it's time to run your test. Check your stats as often as possible, first daily and then weekly, until you are sure which test, A or B, was more effective.

Choose the best conversion page

Conversions and clicks are great, but remember, it's the money that counts. There is always a chance that the page with the most clicks or the most traffic is not the page that will make you the most money. Therefore, it is necessary to experiment with enough variables for a long enough period of time. For example, do not subscribe to the same list even if the series is the same. That way, you can see which list attracts more A or B respondents.

Knowing what your goals are, and testing how accurate your sales and landing page designs are, will quickly lead to better conversions and more revenue. testing with Google Analytics is free and well worth it. It's free and well worth it.