Airbridge App Name. (Unique ID)
The start date of the report data to request.
The date must be in the format 'YYYY-MM-DD'
This date must correspond with the timezone set in the Airbridge app.
The system only accepts dates within the 174 days preceding the current date. Future dates are not permitted.
The end date of the report data to request.
The date must be in the format 'YYYY-MM-DD'
This date must correspond with the timezone set in the Airbridge app.
The system only accepts dates up the current date. The time period available for querying is up to 31 days.
Allows you to set a group by to divide the numbers for the metric you want to see.
Report "Group By".
'Group By' is necessary when seeking a more detailed view in reports. This specification will allow reports to be grouped according to desired criteria. The 'Report GroupBys' for a comprehensive list of available options.
The maximum threshold is 4.
The analytics interval period.
day
Analyze the data by day.
week
Analyze the data by week. Calculated in 7 day intervals from the start date.
month
Analyze the data by month. Calculated the same month from the start date until the corresponding date in the subsequent month. For example, given a start date of March 10, the same month would be pretended until April 10.
The event that initiates a User Journey in the time period set.
Users who do not trigger the set event are not analyzed in the report.
app_install
Install (App). Install events that occurred within the selected time period.
app_deeplink_open
Deeplink Open (App). Deeplink Open events that occurred within the selected time period.
An in-app event performed by the user after performing a Start Event.
It is possible to set up multiple return events.
app_order_complete
Order Complete (App). Order Complete event performed within the selected time period.
app_first_order_complete
First Order Complete (App). First Order Complete event performed within the selected time period.
app_ad_impression
Ad Impression (App). Ad Impression event performed within the selected time period.
app_ad_click
Ad Click (App). Ad Click event performed within the selected time period.
app_subscribe
Subscribe (App). Subscribe event performed within the selected time period.
Report "Metrics".
app_revenue
Revenue(App). The revenue generated by the users who performed the Start Event and the Return Event. (In local currency) Support cumulative, on-day aggregation type.
app_user_count
User Count (App). The total number of unique users who performed revenue events. Support cumulative, on-day aggregation type.
app_event_count
Event Count (App). The total number of revenue events. Support cumulative, on-day aggregation type.
app_roas
ROAS (App). The return on ad spend of the users who performed the Start Event and the Retrun Event. (In local currency) Support cumulative aggregation type.
app_arpu
ARPU (App). The average revenue per user who performed the Start Event. (In local currency) Support cumulative aggregation type.
app_arppu
ARPPU (App). The average revenue per paying user who performed the Start Event. (In local currency) Support cumulative aggregation type.
View types for the report. [Reference]
cumulative
Cumulative aggregation. Accumulate numbers from the first day of the analysis period (Day 0) to the last day (Day N).
on-day
On Day (N-Day). View the isolated data of each day.
The filter for providing 'group by' items.
The groupBys to filter by.
Only values defined within groupBys
can be used.
The operator to apply to the filter.
IS
Equal (is, =).
IS NOT
Does not equal (is not, ≠).
EXIST
Value exists.
NOT EXIST
Value does not exist.
The value to apply to the filter.
Sort report data by 'Group By' or 'Metric'.
Values within groupBy.dimensions
or subMetrics
serve as criteria for sorting.
Sort by ascending (A-Z) or not. (Default: true)
The format of the result.
The csv format of the result.
Whether to include metadata. (selected StartEvent, groupBy, etc.)
Whether to include total value.