A/B Testing

• Shows which A/B version is the winning one and with how much signifiance.

• Experiment on event conversion, retention, sessions, revenue, viral coefficient and much more.

• Automatically determines sample size and how many days your experiment should run

• Shows conversion lift (relative conversion improvement), and helps decide if the economic impact is big enough to implement the new variation

To track experiment data, use the Set-Up Data option in the projects page.

To A/B test viral coefficients, you also need to track user referrals. For more information see Referring Users / Virality in the Setup Data page of your project.