Graph illustrating the relationship between time and financial metrics, displaying a purple line that sharply increases over time, labeled 'Revenue,' indicating significant growth. In contrast, a blue horizontal line at the bottom, labeled 'Price,' remains constant, suggesting stable pricing over the same period. The shaded areas beneath each line emphasize the stability of price and the upward trend in revenue, highlighting that revenue can grow independently of the price.
Simple pricing

Pricing that Doesn't Grow When Your Business Does

Free yourself from usage-based pricing! Jewel ML offers a flat monthly price, meaning costs will not increase no matter how much your usage grows. No more number of sessions, users, queries, and quotas to worry about!

Green Check Mark

Pricing based primarily on ROI, making sure we win only if you win

Green Check Mark

Price does not increase if your revenue or traffic increases

Green Check Mark

Track real-time ROI in Jewel ML's dashboard, feeling confident about your investment

Data doesn't lie—let a free A/B test prove how Jewel ML can elevate your e-commerce game

Our expert team will handle the entire setup for you, completely free of charge and with no commitment required on your part.

Pricing FAQ

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.


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