AB TEST-AI-powered A/B testing tool.

Example

AB TEST provides users with templates and guidance on how to set up A/B or multivariate tests. It ensures that tests are statistically sound by helping users define control and variation groups, sample sizes, and the duration of tests.

Scenario

A marketing team wants to test different subject lines in their email campaign. AB TEST helps them design an A/B test, ensuring that the sample size is large enough to detect a meaningful difference between the two subject lines.

Example

Once a test is live, AB TEST continuously monitors and analyzes the incoming data, providing real-time insights into how each version is performing.

Scenario

An e-commerce site is running a test to compare two versions of a product page. AB TEST tracks user behavior, such as clicks and purchases, in real-time and alerts the team if one version starts to significantly outperform the other, allowing them to quickly implement changes.

Example

After a test concludes, AB TEST helps interpret the results by providing detailed reports that highlight statistically significant differences, potential biases, and recommendations for next steps.

Scenario

A product team has completed an A/B test on a new feature. AB TEST generates a report that shows the impact of the feature on user engagement, suggests reasons for the observed outcomes, and recommends whether to roll out the feature to all users.