A/B Testing drives engagement because it gives provides a user-based methods of rolling out features. In other words, we publish features if users like them.

However, manually segmenting the user base is not optimum. We can't tell if users in a given test group or experiment are the right fit for a new feature. This is where Google’s AIs come in.

We can use Vertex AI Gemini API in our applications to learn about our users better than plain analytics Data. We can the use Firebase GenKit on the server-side to know which users will receive a set of experiments with predictive analysis.

In this session, we will look into how to use Google AIs to understand our users, give them what they want and hence more user retention and increased sales.