Documentation

Support

Analytics

Analytics

Data Explorer V2 (Beta) measures and metrics

Learn the measures, metrics, and dimensions you can use to build powerful custom reports in Data Explorer V2.
Read time 4 minutesLast updated a day ago
For some examples on how to use Data Explorer V2, see the Data Explorer V2 example reports.

Measures (y-axis)

You can use Data Explorer V2 to query your game data based on the following measures in the y-axis: You can use the following types of filters to further filter your measures:

Metrics

The following tables show all of the metrics that you can use to query your game data:

Active users

Metric Name

Description

DAUDaily Active Users: the number of unique players that started a session on each calendar day.
WAUWeekly Active Users: the number of unique players that started a session in the previous 7 days from any given calendar day.
MAUMonthly Active Users: the number of unique players that started a session in the previous 30 days from any given calendar day.
DAU per MAUDaily Active Users per Monthly Active Users: the percentage of monthly active users who played on a particular day. This is known as your sticky factor, and a high "sticky factor" means that players continue to engage with your application over time.
New UsersThe count of your daily users who were new on a given day.
New vs Returning usersThe percentage of your daily users who were new on a given day.

Retention

Metric Name

Description

D1 RetentionThe percentage of users who returned to your game one day after playing for the first time.
D7 RetentionThe percentage of users who returned to your game 7 days after playing for the first time.
D30 RetentionThe percentage of users who returned to your game 30 days after playing for the first time.

Revenue

Metric Name

Description

PayersThe count of daily active users who spent money on a given day.
ARPPUAverage Revenue Per Paying User: this metric includes revenue from both 
transaction
and 
adImpression
events where available.
APRDAUAverage Revenue Per Daily Active User: this metric includes revenue from both 
transaction
and 
adImpression
events where available.
Total RevenueThe sum of all revenue from IAP and Unity Ads if configured.
IAP RevenueIn-App Purchase Revenue: the sum of all verified IAP transactions.
Total TransactionsThe count of all transactions.
Revenue per TransactionThe sum of all transaction amounts divided by the number of transactions.

Sessions

Metric Name

Description

Average Session LengthThe amount of time that passed between when the user starts the app and when the user takes an action to exit the app.
Number of SessionsThe count of sessions played on a given day.
Sessions per UserThe average number of sessions per user playing on a given day.
Total Play TimeThe cumulative playing time of all people playing on a given day.
Play Time per UserThe average playing time of users playing on a given day.

Events

You can also query your game data based on your game events. The events available consist of both standard and custom events used in your game. In addition, you can use event parameters sent with an event to filter an event measure.

Standard event name

Description

newPlayer
Records when a new player installs the app on their device.
gameStarted
Records at the start of a new session. A new session starts when the user first launches an app.
gameEnded
Records when a player exits the game.
gameRunning
Records periodically when the app is running to detect session activity.
clientDevice
Records the first time a user launches an app and when device information changes.
ddnaForgetMe
Records when a player requests deletion of their personal data.
transaction
Records when a player makes an in-app purchase and tracks the purchase amount. Transaction validation is done via the Unity IAP.
adImpression
Can be recorded manually when a player has seen an ad within the game. See the record an ad impression tutorial.
sdkStart
Records when the SDK initialises.

Dimension filters

You can apply dimension filters to the game data based on predefined metrics or events. The following table shows the dimension filters available:

Dimension filter

Description

CountryCountry that the player last sent an event from.
PlatformPlatform that the player last sent an event from.
Client VersionSDK version that the player last sent an event from.
Acquisition ChannelChannel that the player was acquired from.
Event ParameterTo use the Event Parameter dimension, you need to have an event measure. If you select multiple event measures, you can select an event parameter from any of them.

Aggregate filters

You can use aggregate filter options to further modify your game data. By default, the report aggregates the game data by the Sum of the event or metric data.

Aggregate filter

Description

Sum (default)Sum of events for all users.
AverageAverage of event count across all users.
MaxMaximum number of events sent by given user.
MixMinimum number of events sent by given user.
MedianMedian number of events sent by given user.
Unique UsersSum of events for all unique users.

Dimensions (x-axis)

Dimensions are different properties, based on either time or user properties, that you can use to group your data. You can use the following dimensions on the x-axis of your chart:

Time dimensions

Dimension name

Description

Day (default)Calendar date grouped by day.
MonthCalendar date grouped by month.
YearCalendar date grouped by year.
Player Start DateThe date that a player first sent an event.
Days Since Player StartedDays since a player first sent an event.

User Properties dimensions

Dimension name

Description

CountryCountry that the player last sent an event from.
PlatformPlatform that the player last sent an event from.
Client VersionApplication version that the player last sent an event from.
Acquisition ChannelChannel that the player was acquired from.
Event ParameterTo use the Event Parameter dimension, you need to have an event measure. If you select multiple event measures, you can select an event parameter from any of them.