Revenue Report

Headers

Accept-Language

string

You can specify the language to use for API requests and result returns. It follows the ISO-639-1 format.

Content-Type

string

Represents the media type of the resource. Defaults to application/json.

Authorization

string

The key value to use for API requests. You can get it by checking out .

Path Params

app_name

必須string

Airbridge App Name. (Unique ID)

Body Params

from

必須string

cohorts

object[]

Only one cohort can be set up.

You can see an example of cohort code here.

cohorts[0].id

必須number

The value should be entered as 0. Other values are not supported.

cohorts[0].name

必須string

The value should be entered as "Cohort". Other values are not supported.

cohorts[0].definition

必須object

Define the cohorts used by the Revenue Report. Always define sub-variables in the order andClauses, orClauses, segment. Check the relationship between each variable below.

cohorts[0].definition.andClauses

必須object[]

The highest-level condition in the cohort definition. All conditions you set are connected with an AND. You must set negated and orClauses as sub-variables.

negated (boolean): Sets whether the condition you set in orClauses is negated.
- true: Negates the condition you set in orClauses, so the condition you set in orClauses is false.
- false: Does not negate the condition set in orClauses. Therefore, the condition set in orClauses is true.

cohorts[0].definition.andClauses[*].orClauses | Required ・ object[]

The conditions you set in the child of andClauses. Connect all the conditions you set with an OR. You must set negated and segment as sub-variables.

negated (boolean): Sets whether the condition set in orClauses is negated.
- true: Negates the condition you set in orClauses, so the condition you set in orClauses is false.
- false: Does not negate the condition set in the orClauses. Therefore, the condition set in the orClauses is true.

cohorts[0].definition.andClauses[*].orClauses[*].segment | Required ・ object

The minimum conditions for a cohort definition. You can set event, filters, and time as sub-variables.

event (object): You can define an event triggered by the user and the number of times it occurs. You can set type, operator, and value as sub-variables.
- type (string): type (string): Sets the event generated by the user. You can set it to any event by using any-event. Other events that can be set can be found in the Event Key column of [Airbridge Data Spec]>[Revenue Report - Audience Events]. Please be aware of the use of '' and _.
- operator (enum): You can set the comparison operator used for the number of times an event occurs. You can only use one of five: equals, more than or equals, more than, less than or equals, and less than.
- value (number): You can set the number of times the event occurs. Please enter a natural number.
filters (object[]): You can only see certain events out of the ones you have defined. It's the same as the had property in the cohort definition. You can set field and filterType as sub-variables.
- field (string): Properties that can be set as filters. Please refer to the Property Key column of [Airbridge Data Spec] > [Revenue Report - Audience Properties] for the properties that can be set.
- filterType (enum): Sets the operators that can be used on the property. Depending on the property you set, the available operators and the values you set with the filter (none, value, values) change.

filterType	Property Data Type	Sub-variables
is / is not	string, boolean	values
contains / does not contain	string	value
exists / does not exist	string, boolean, int, float	N/A
equals / does not equal	int, float	value
does not equal	int, float	value
greater than or equals	int, float	value
greater than	int, float	value
less than or equals	int, float	value
less than	int, float	value
between	int, float	values
does not between	int, float	value

time (object): You can set conditions for when the event occurred. The subvariable will change based on the set condition.
- operator (enum): Set the condition from during, between, or since. Only one of the three can be set. If the condition is between, the lookup period can be set from 1 February 2023. The maximum period you could set is 90 days.

Operator	Sub-variables	Description
during	values, isNowEnabled	isNowEnabled sets whether to include today
between	values	Values must have both start and end dates set.
since	values	Set start date only

groupBy

必須object

granularity

必須enum

ENUM VALUES

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.

intervalsPeriod

integer

The maximum number of intervals, or time ranges, by granularity.

If the granularity is day, week, or month, the default value is 30, 11, or 5, respectively.
If the granularity is day, week, or month, the maximum value is 120, 52, or 36, respectively. The minimum values are all 0.
The result includes a “0th” interval.

startEvents

必須enum[]

ENUM VALUES

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.

app_deeplink_pageview

Deeplink Pageview (App). Deeplink Pageview events that occurred within the selected time period.

app_sign_up

Sign-up (App). Sign-up events that occurred within the selected time period.

app_sign_in

Sign-in (App). Sign-in events that occurred within the selected time period.

returnEvents

必須enum[]

ENUM VALUES

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.

metric

必須enum

ENUM VALUES

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.

aggregationType

必須enum

ENUM VALUES

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.

filters

必須object[]

sorts

必須object[]

resultSpec

object

Request

12345
curl -X POST 'https://api.airbridge.io/reports/api/v3/apps/{app_name}/revenue/query' \
  -H 'Accept-Language: ko' \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer {AIRBRIDGE-API-TOKEN}' \
  -d '{"from":"2022-11-04","to":"2022-11-11","groupBy":{"fields":["channel"]},"granularity":"day","intervalsPeriod":30,"startEvents":["app_install"],"returnEvents":["app_order_complete"],"metric":"app_revenue","aggregationType":"cumulative","filters":[{"field":"campaign","filterType":"IN","values":["App"]}],"sorts":[{"fieldName":"totalRevenue","isAscending":true}],"resultSpec":{"csv":{"includesTotal":true}}}'

Payload

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{
  "from": "2022-11-04",
  "to": "2022-11-11",
  "groupBy": {
    "fields": [
      "channel"
    ]
  },
  "granularity": "day",
  "intervalsPeriod": 30,
  "startEvents": [
    "app_install"
  ],
  "returnEvents": [
    "app_order_complete"
  ],
  "metric": "app_revenue",
  "aggregationType": "cumulative",
  "filters": [
    {
      "field": "campaign",
      "filterType": "IN",
      "values": [
        "App"
      ]
    }
  ],
  "sorts": [
    {
      "fieldName": "totalRevenue",
      "isAscending": true
    }
  ],
  "resultSpec": {
    "csv": {
      "includesTotal": true
    }
  }
}

`#{"style":{"minWidth":"130px"}}` `PENDING`	Data aggregation is in preparation.
`RUNNING`	Data is being aggregated.
`SUCCESS`	The aggregation is completed and returns the result.
`FAILURE`	The request has failed.
`CANCELED`	The request has been canceled.

#{"style":{"minWidth":"130px"}}

PENDING

Data aggregation is in preparation.

RUNNING

Data is being aggregated.

SUCCESS

The aggregation is completed and returns the result.

FAILURE

The request has failed.

CANCELED

The request has been canceled.

curl -X GET 'https://api.airbridge.io/reports/api/v3/apps/{app_name}/revenue/query/{task_id}?skip=0&size=50' \ -H 'Accept-Language: ko' \ -H 'Content-Type: application/json' \ -H 'Authorization: Bearer {AIRBRIDGE-API-TOKEN}'

{ "data": { "stats": { "rows": [ { "rows": [ { "date": "2021-11-01", "total": { "totalCost": { "value": 0 }, "totalRevenue": { "value": 10 }, "totalUniqueUsers": { "value": 1, "isMasked": true } }, "values": [ { "value": 1, "isMasked": false }, { "value": 2, "isMasked": false }, { "value": 3, "isMasked": false }, { "value": 4, "isMasked": false } ] } ], "total": { "rows": [ { "value": 1, "isMasked": false }, { "value": 2, "isMasked": false }, { "value": 3, "isMasked": false }, { "value": 4, "isMasked": false } ], "totalCost": { "value": 0 }, "totalRevenue": { "value": 10.45 }, "totalUniqueUsers": { "value": 1, "isMasked": false } }, "metadata": [ "<groupBy>" ] } ] }, "status": "SUCCESS", "taskId": "5e286bd4-b4b1-4c04-8f6a-670dc7ce637d", "endedAt": "2022-01-17T19:10:00.286939+09:00", "hasNext": false, "metadata": { "totalCount": 48 } }, "notification": [ { "code": "AGG_DATA_MASKING_BY_FACEBOOK", "type": "info", "message": "some data is masked by facebook privacy policy." } ] }

Request Report

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404ERROR

Revenue Reportself.__wrap_n!=1&&self.__wrap_b(":R29jtt7ppjtsba:",0.5)

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400ERROR

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Revenue Report