An A/B test, also known as a split test, is a method used to compare two versions of a webpage, app feature, or product recommendations to determine which one performs better. Essentially, we divide your audience into two groups: Group A sees the original version (the control), and Group B experiences the new version (the variation). By analyzing how each group interacts with the version they see, we can measure changes in behavior, such as increases in purchases, engagement, or any other key metric of interest. This approach allows us to make data-driven decisions and continuously improve the personalization and effectiveness of our recommendations on your site. Jewel ML facilitates this process seamlessly, providing you with clear insights into the impact of our AI-driven recommendations without requiring any separate A/B testing software.

Clients typically see a 5-15% revenue increase within the first 30 days. For example, Vans experienced a 13% increase in revenue from users who saw our recommendations.

Yes, you can start with a free 30-day A/B test to evaluate our solution's impact before making any payment.