Pivot report endpoint

Pivot Report Service provides an API to get aggregated data from different sources: KPI Service metrics, KPI Service cohorts, SKAdNetwork, and Ad Spend.

The reports endpoint enables you to combine data from many services in a single report. Request installs, revenue, ad spend, and SKAdNetwork data divided by day, app, and ad network.

Fetch pivot report

GET https://automate.adjust.com/reports-service/pivot_report

The GET method returns filtered data from the report service in JSON format.

Filters

Filter	Type	Description	Example
`dimensions`*	`String`	Comma-separated values used to group parameters. See the dimensions table below for more information.	`dimensions=app,os_name,week,campaign_id_network`
`metrics`*	`String`	Comma-separated KPIs. See the metrics table below for more information.	`metrics=cost,installs,ecpi_network`
`date_period`*	`String`	Start and end dates for the report with 3 supported formats: Logical dates Absolute dates Relative dates	Logical dates: `this_month_until_yesterday` `today` `yesterday` `this_week` `last_week` `this_month` `last_month` Absolute dates: `2020-12-31:2021-01-01` Relative dates: `-10d:-3d (from 10 days ago to 3 days ago)`
`cohort_maturity`	`String`	`immature`: displays current values of cumulative metrics for all cohorts, including immature cohorts. `mature`: displays the values of cumulative metrics only for mature cohorts and zeros for immature cohorts.	`cohort_maturity=immature`
`utc_offset`	`String`	The timezone used in the report.	`utc_offset=+01:00`
`attribution_type`	`String`	The type of engagement the attribution awards. `click` (default) `impression` `all`	`attribution_type=click`
`attribution_source`	`String`	Whether in-app activity is assigned to the user’s install source (`first`) or divided among the install source and subsequent sources of reattribution (`dynamic`). Defaults to `dynamic`.	`attribution_source=first`
`reattributed`	`String`	Filter for reattributed users only. Reattribution is when a user who has already installed your app returns to it through a new Adjust-measured source. `all` (default) `false` `true`	`reattributed=false`
`iap_revenue_mode`	`String`	The percentage of gross ad revenue returned by the endpoint. Available options are: `GROSS_100` `GROSS_85` `GROSS_70` `GROSS_60`	`iap_revenue_mode=GROSS_70`
`ad_revenue_sources`	`String`	Comma-separated list of ad revenue sources.	`ad_revenue_sources=unknown`
`os_names`	`String`	Comma-separated list of operating system names.	`os_names=ios,android`
`ad_spend_mode`	`String`	Determines the ad spend source applied in calculations. See How ad spend source affects your data for more information. `adjust` `network` `mixed`	`ad_spend_mode=network`
`sandbox`	`Boolean`	Whether to use sandbox data or production data. Defaults to `false`.	`sandbox=true`
`sort`	`String`	Comma-separated list of metrics/dimensions to sort the report by. Use `-` to order descending.	`sort=-clicks,installs`
`drilldown`	`String`	List of parameters to drill down into. Formatted as pipe-separated tuples.	`drilldown=campaign:123\|adgroup:234`
`focus`	`String`	List of parameters to focus on. Formatted as pipe-separated tuples. Differs from drilldown as it doesn’t add extra dimensions to the results.	`focus=campaign:123\|adgroup:234`
`index`	`String`	Comma-separated list of dimensions used to index the report.	`index=network,campaign,adgroup`
`format_dates`	`Boolean`	If set to `false`, all date dimensions are returned in ISO format.	`format_dates=false`
`period_over_period`	`String`	The period for comparing report data.	`period_over_period=previous_week`
`currency`	`String`	Currency used for conversion of money related metrics.	`currency=USD`
`[dimension]__in`	`String`	Comma-separated list of values to filter dimension’s values (exact match) for any dimension.	`campaign__in=abc,def`
`[dimension]__not_in`	`String`	Comma-separated list of values to filter dimension’s values (exclude exact match) for any dimension	`campaign__not_in=abc,def`
`[dimension]__contains`	`String`	Substring search in dimension’s values (case insensitive) for any dimension.	`campaign__contains=ios`
`[dimension]__exclude`	`String`	Excluding substring search in dimension’s values (case insensitive) for any dimension.	`campaign__exclude=ios`
`[dimension]__starts_with`	`String`	Substring search matching dimensions starting with specified prefix (case insensitive).	`campaign__starts_with=ios`
`[dimension]__not_starts_with`	`String`	Substring search matching dimensions not starting with specified prefix (case insensitive).	`campaign__not_starts_with=ios`
`[dimension]__ends_with`	`String`	Substring search matching dimensions ending with specified suffix (case insensitive).	`campaign__ends_with=ios`
`[dimension]__not_ends_with`	`String`	Substring search matching dimensions not ending with specified suffix (case insensitive).	`campaign__not_ends_with=ios`
`[metric]__lt`	`String`	”Less than” filter for metric’s values any metric.	`skad_installs__lt=100`
`[metric]__lte`	`String`	”Less than or equal” filter for metric’s values for any metric.	`skad_installs__lte=100`
`[metric]__gt`	`String`	”Greater than” filter for metric’s values for any metric.	`skad_installs__gt=100`
`[metric]__gte`	`String`	”Greater than or equal” filter for metric’s values for any metric.	`skad_installs__gte=100`
`[metric]__eq`	`String`	”Equal” filter for metric’s values for any metric.	`skad_installs__eq=100`
`[metric]__ne`	`String`	”Not equal” filter for values relating to any metric.	`skad_installs__ne=100`

Dimensions

Dimensions allow a user to break down metrics into groups using one or several parameters. For example, the number of installs by date, country and network.

Dimension	Data type	Description	Example
`hour`	`Date`	Use `format_dates=false` to return the value in ISO format. `YYYY-MM-DDTHH:MM:SS`	`2021-05-11T17:00:45`
`day`	`Date`	Use `format_dates=false` to return the value in ISO format. `YYYY-MM-DD`	`2021-05-11`
`week`	`Date`	Use `format_dates=false` to return the value in ISO format. `YYYY-MM-DD - YYYY-MM-DD`	`2021-05-09 - 2021-05-15`
`month`	`Date`	Use `format_dates=false` to return the value in ISO format. `YYYY-MM`	`2021-05`
`year`	`Date`	Use `format_dates=false` to return the value in ISO format. `YYYY`	`2021`
`quarter`	`String`	Use `format_dates=false` to return the value in ISO format. `Q<quarter_number> YYYY`	`Q2 2021`
`os_name`	`String`	Possible values: `android` `bada` `blackberry` `ios` `linux` `macos` `server` `symbian` `unknown` `webos` `windows` `windows-phone`
`device_type`	`String`	Possible values: `bot` `console` `ipod` `mac` `pc` `phone` `server` `simulator` `tablet` `tv` `unknown`
`app`	`String`	Name of the app.
`app_token`	`String`	App ID in the Adjust system.
`store_id`	`String`	Store App ID.	`com.random.app`
`store_type`	`String`	Store from where the app was installed.	`google_play`
`currency`	`String`	Currency name.	`Euro`
`currency_code`	`String`	3-character value ISO 4217.	`EUR`
`network`	`String`	The name of the advertising network.	Organic, AppLovin, Facebook Installs, Instagram Installs.
`campaign`	`String`	Link sub-level 1. String value usually contains campaign name and id.
`campaign_network`	`String`	Campaign name from the network.
`campaign_id_network`	`String`	Campaign ID from the network.
`adgroup`	`String`	Link sub-level 2. String value usually contains adgroup name and id.
`adgroup_network`	`String`	Adgroup name from the network.
`adgroup_id_network`	`String`	Adgroup ID from the network.
`source_network`	`String`	Name of the source network. Optional value dependent on the network.
`source_id_network`	`String`	ID of the source network.
`creative`	`String`	Link sub-level 3. String value usually contains creative name and id.
`creative_network`	`String`	Creative name from the network.
`creative_id_network`	`String`	Creative ID from the network.
`country`	`String`	Country name.	`United States of America`
`country_code`	`String`	2-character value ISO 3166.	`US`
`region`	`String`	Business region.	`APAC`
`partner_name`	`String`	Partner’s name in the Adjust system.	`AppLovin`
`partner_id`	`String`	Partner’s id in the Adjust system.	`34`
`partner`	`String`	The unique slug of the partner.	`applovin`
`channel`	`String`	A combination of `partner_name` and `network`.
`platform`	`String`	The device operating system/platform. See list of supported platforms below.	`android`

Platforms

android
android-tv
bada
blackberry
facebook
fire-tv
ios
linux
macos
server
symbian
webos
windows
windows-phone

Metrics

Metrics are used to assess and compare the performance of campaigns you run and measure with Adjust.

At least 1 metric is required in each API request. The most common metrics are:

installs
clicks
impressions

A full list of metrics is available in the Datascape metrics glossary. You can also use the Filters Data endpoint to search for metrics.

Response format

{
   "rows": [
      {
         "attr_dependency": {},
         "app": "App Name",
         "partner_name": "AppLovin",
         "campaign": "Campaign Name (Campaign ID)",
         "campaign_id_network": "Campaign ID",
         "campaign_network": "Campaign Name",
         "installs": "64",
         "cost": "1000"
      }
   ],
   "totals": {
      "installs": 64,
      "cost": 1000
   },
   "warnings": [],
   "totals_per_dimension": {}
}

Response codes

This endpoint returns the following responses:

Response	Description	Notes
`200`	Success	Returns report information
`204`	No content	Returned if the response object is empty
`400`	Bad request	Returned if your request is malformed or contains unsupported parameters
`401`	Unauthorized	Returned if your credentials are incorrect or absent
`403`	Forbidden	Returned if you try to access information you don’t have permission to view
`429`	Too many requests	Returned if you exceed 50 simultaneous requests
`503`	Service unavailable	Returned if the server can’t be reached
`504`	Gateway timeout	Returned if the query takes too long to return a response

Example

$ curl \
--header 'Authorization: Bearer <adjust_api_token>' \
-L -X GET 'https://automate.adjust.com/reports-service/pivot_report?ad_spend_mode=network&app_token__in={app_token1},{app_token2}&date_period=2021-05-01:2021-05-02&dimensions=app,partner_name,campaign,campaign_id_network,campaign_network&metrics=installs,network_installs,network_cost,network_ecpi&index=app' \

{
   "rows": [
      {
         "Test App": {
            "rows": [
               {
                  "attr_dependency": {
                     "app_network": ["google_play:com.test.app"]
                  },
                  "campaign_id_network": "123",
                  "campaign_network": "Campaign Name",
                  "campaign": "Campaign Name (123)",
                  "partner_name": "MyPartner",
                  "installs": 10,
                  "network_installs": 0,
                  "network_cost": 0,
                  "network_ecpi": 0
               }
            ]
         }
      }
   ],
   "totals": {
      "installs": 10,
      "network_installs": 0,
      "network_cost": 0,
      "network_ecpi": 0
   },
   "totals_per_dimension": {
      "campaign_id_network": {
         "Organic": {
            "installs": 10,
            "network_installs": 0,
            "network_cost": 0,
            "network_ecpi": 0
         }
      },
      "campaign_network": {
         "Organic": {
            "installs": 10,
            "network_installs": 0,
            "network_cost": 0,
            "network_ecpi": 0
         }
      },
      "app": {
         "adjust Demo App": {
            "installs": 10,
            "network_installs": 0,
            "network_cost": 0,
            "network_ecpi": 0
         }
      },
      "campaign": {
         "Organic": {
            "installs": 10,
            "network_installs": 0,
            "network_cost": 0,
            "network_ecpi": 0
         }
      },
      "partner_name": {
         "Organic": {
            "installs": 10,
            "network_installs": 0,
            "network_cost": 0,
            "network_ecpi": 0
         }
      }
   }
}