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A/B Testing: Boost Conversion Rates with Effective Experimentation


A/B testing is a method used to compare two different versions of a webpage or app to see which one performs better. It helps us understand what changes can make our websites or apps more effective. In A/B testing, we divide our audience into two groups. One group sees the original version, called the control, while the other group sees a modified version, called the variant. By comparing the results from both groups, we can determine which version leads to higher conversion rates, such as more people signing up or making a purchase.


A/B testing is important because it allows us to make data-driven decisions to improve our websites and apps. By testing different versions, we can identify what changes have a positive impact on user behavior. This helps us create a better user experience, increase customer satisfaction, and ultimately boost conversion rates. A/B testing also helps us avoid making assumptions or relying on guesswork when making changes to our digital products. Instead, we can rely on real evidence to guide our decision-making process.

Sample Usage

Let's imagine you have an online store and want to increase the number of people who complete a purchase. You could use A/B testing to compare two different versions of your checkout page. One version might have a green "Buy Now" button, while the other version has a blue "Buy Now" button. By randomly showing each version to different groups of customers, you can measure which color button leads to more purchases. This information can then be used to make changes that will increase your conversion rates and make your online store more successful.

Related Terms

There are a few related terms that you might come across when learning about A/B testing. One is "conversion rate," which refers to the percentage of people who take a desired action, such as making a purchase or signing up for a newsletter. Another term is "control group," which is the group of people who see the original version of a webpage or app. The "variant group" is the group of people who see the modified version. Finally, "user experience" refers to how people feel and interact with a website or app, and A/B testing helps us improve this experience.

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