Data Explorer V1 metrics
The metrics available in Data Explorer V1 are:
| Metric | Description |
|---|---|
| DAU | Number of unique players per day. |
| DAU (new vs. returning) | Percent of DAU who were new on that day. |
| WAU | Number of unique players in the previous 7 days. |
| MAU | Number of unique players in the previous 30 days. |
| DAU per MAU | Percentage of MAU who played on a particular day (DAU/MAU). |
| New users | Daily users who are new that day. |
| Session length | Time elapsed from when the user starts the app to when they exit. |
| Number of sessions | Number of sessions played that day. |
| Sessions per user | Average number of sessions for each user. |
| Total daily play time | Total playing time of all players on that day. |
| Daily play time per DAU | Average playing time of users playing on that day. |
| Day 1 retention | Percentage of users who returned to your game after one day. |
| Day 7 retention | Percentage of users who returned to your game after one week. |
| Day 30 retention | Percentage of users who returned to your game after 30 days. |
| ARPPU | Average revenue per paying user (This metric includes revenue from both transaction and adImpression events where available). |
| ARPDAU | Average revenue per daily active user (This metric includes revenue from both transaction and adImpression events where available). |
| Transactions | Count of all transactions. |
| Paying users | Number of DAUs who spent money that day. |
| Revenue per transaction | Transaction amount divided by number of transactions. |
| Total revenue | Sum of all transaction amounts. |
Events can be further grouped by event parameters. Event parameters are extra information sent with the event.
For example, in a Fruit Machine-like game, spinSummary would be an event, and numberWinningLine would be an event parameter.
Use the aggregate filter based on event counts by the user. "Aggregate by Average" means the average event count across all users. "Aggregate by Max" means the maximum number of events sent by any given user, and so on.
You can summarize your data in a table view. You can select sum or average, which adds a selector, and a new row in the summary table of Data Explorer.