¶ Event details
The Event Details screen allows you to perform an in-depth analysis of each event tracked in the application. This way, you can follow the time-based evolution of each event and better understand user behavior within the app.
To access this screen, simply follow these steps:
- Log in to your EMMA account.
- Go to the section: Behavior > Event details.
To start viewing data on this screen, you need to enable event tracking. To do this, simply click the Activate button in the warning message displayed when accessing this section.
Please note that data collection may take up to 24 hours from the moment it is activated.
This screen includes several filters to obtain the desired information. You can find more information about the available filters here.
¶ Main events
Once data collection has started, the first thing you’ll see is a chart displaying the evolution of the 5 most relevant events in the application. Using the selector in the upper-right corner of the chart, you can choose which events to display—up to a maximum of 5.
This allows for a more visual access to the data for the selected events within the chosen date range. Additionally, the data in the chart can be grouped by days, weeks, or months. depending on the analysis needs at any given time. You can find more information about grouping here.
¶ Event analysis
At the bottom of the screen, you can see a table containing the details of all events and their evolution, allowing for a more detailed analysis of each individual event.
In the Event analysis table, you can see the following information:
- ID: Identifier of the event in EMMA.
- Name: Name of the event in EMMA.
- Total: Total number of times each event has occurred within the selected date range.
- Evolution of the total: Increase or decrease in the event volume compared to the immediately preceding period. It is calculated as follows:
- Users: Different client IDs who have performed the event.
- User evolution: Increase or decrease in the volume of users compared to the immediately previous period. It is calculated as follows:
- Event per user: Average number of events performed by each user.