How can I easily analyze Firebase A/B test results with event parameters?

We use Firebase A/B test product for our mobile apps. We need to reach the parameters of our events and make a deeper analyze. We have worked with BigQuery before for this, but it requires a lot of effort.

Let me tell you briefly about our problem:

Let's say we have an event called add_to_cart. We want to look at the number of times the add_to_cart is triggered from a specific screen in the A/B test results. For example, those whose firebase screen class is category_page. This data can be accessed by writing a query over BigQuery, but create extra effort for different needs.

Is there a short way or tool about doing analysis by event parameters?

As we find Firebase's reporting and analysis insufficient, we will decide to use a different tool. If anyone encounters such a problem, it is possible to make a deep analysis through BigQuery.

Another way you can use Audience as a hacky way.

1. Go to Custom Definitions section and create a custom definition.

Your scope should be "User". Select firebase_exp_<N> as the User property. Because Firebase defines a property for each user it adds to the experience. You can find the <N> number from the link on your A/B test page.

E.g. your A/B test link is like: https://console.firebase.google.com/u/0/project/your-project/config/experiment/results/20. The <N> number is 20 and user property is firebase_exp_20.

2. Create Audience for each control group

Create a new audience according to this created dimension value. A value of 0 corresponds to Baseline. Each control group after that continues with consecutive numbers. (1,2,3..)

3. Go to Analytics

Go to Analytics and do your analysis for each control group with these Audiences.

I hope it helps.