Data Access available views#

Through the Data Access feature, you gain access to a number of views containing your account's data.

ACCOUNT_EVENTS#

This table lists all of the events that have been sent in from your application. Event-specific parameters can be found in the EVENT_JSON column as a JSON object. As the parameters are stored as a JSON object, you'll need to parse the content in order to query it.

ACCOUNT_EVENT_JSON_KEYS#

This table contains data on the event fields that are used for your games.

ACCOUNT_GAMES#

This table lists all of the games that exist under your account.

ACCOUNT_USERS#

This table lists all the users who have sent in an event in the past. For each user, the columns contain a variety of useful metrics.

ACCOUNT_FACT_EVENT_TYPE_USERS_DAY#

This table lists all of the events a user has recorded in one day and how many times they have sent in each of those events.

ACCOUNT_FACT_WAU_USERS#

This table lists all of the users that have sent in an event in the last week.

ACCOUNT_FACT_MAU_USERS#

This table lists all of the users that have sent in an event in the last 30 days.

ACCOUNT_FACT_MISSION_USERS_DAY#

This counts how often a user has started, completed, failed and abandoned missions.

ACCOUNT_FACT_POTENTIAL_RETAINED_USERS_7_DAY#

This table contains data on Users retained after installing in the last 7 days.

ACCOUNT_FACT_POTENTIAL_RETAINED_USERS_14_DAY#

This table contains data on Users retained after installing in the last 14 days.

`ACCOUNT_FACT_PRODUCT_USERS_DAY#

This table contains the number of products bought split out by the standard filter parameters. The data comes from the productsReceived object in the transaction event.

ACCOUNT_FACT_RETAINED_USERS_7_DAY#

This table contains data on users retained after installing in the last 7 days.

ACCOUNT_FACT_RETAINED_USERS_14_DAY#

This table contains data on users retained after installing in the last 14 days.

ACCOUNT_FACT_USER_SESSIONS_DAY#

This table has a record for each user session. Each record contains a variety of user level aggregate KPIs for that session. If any of the dimensions in this table, excluding aggregate dimensions, change during a session (for example, AGE_GROUP or GENDER), a new record will be created for that session.