Google Optimize was a popular tool for A/B testing that many marketers relied on—until September 2023, when it rode off into the digital sunset.

Luckily, there are plenty of other great A/B testing tools that’ll provide the data-driven insights you need to maximize your conversions and hit your performance goals. This blog post will cover some of the most popular tools and help you figure out which one best fits your needs.

Google Optimize is dead. Long live the Google Optimize alternatives.

What is an A/B testing tool?

Simply put, an A/B testing tool is software that transforms a sea of “what ifs” to “what works.” It allows you to focus a data-driven magnifying glass on a specific part of your landing page, creating two variations where just that one part is different, then seeing which variant is more popular. It’s basically like running a controlled science experiment.

Here are the basics of how you use an A/B testing tool:

Step 1: Hypothesis

Consider what you’d like to test to improve conversions—maybe a snazzier headline or a different button color. The tool should help you define clear goals and metrics to measure success.

Step 2: Cloning for conversions

Use the tool to duplicate your website or app, creating nearly identical twins. One version stays the same while the other is the variation, with the element you’re testing being the only change.

Step 3: Splitting traffic

Now comes the fun part—splitting your flow of visitors into two separate streams. Half get the original, half get the variation, and the tool acts like a traffic cop, directing visitors to the right stream.

Step 4: The data deluge

While visitors interact with the two page variations the tool meticulously tracks their activity, gathering data like a squirrel stockpiles nuts.

Step 5: The big reveal

Once enough data is collected, the tool analyzes the data, comparing the performance of both variations and revealing the winner—the one that converted visitors better.

Step 6: The victory lap (back to the starting line)

Now that you’ve identified the winner, you can implement it. But don’t rest on your laurels—repeat the process so you can keep finding ways to increase conversions. Even if your new variation does worse than the original, you’ll still have gained valuable insights that can be applied to future experiments. An A/B testing framework is like a continuous learning loop, helping you optimize your page for maximum conversion magic.

That’s a standard way to conduct an A/B test, but there are many others. Check out this blog post to learn more about the ins and outs of landing page testing.