App Usage Data

The App Usage Data request comprises of elements that can be combined to query your analytics data. The parameters that apply to this table:

https ://,activeDevices,newDevices&dateTime=2017-06-01/2017-08-01&filters=[...]&topN=[..]&sort=[..]&having=[..]&format=[..]&timeZone=[..]

App Usage Metrics

Below are metrics that are available for reporting.

Metric Description
sessions number of times users accessed the application
activeDevices total unique devices that accessed the application
activeUsers (*) total unique users (based on app user id) that accessed the application
newDevices new devices that installed and launched the application
timeSpent time users spent in the application
averageTimePerDevice average time users spent in the application per device
averageTimePerSession average time users spent in the application per session
medianTimePerSession median time users spent in the application per session

(*) requires app to use SDK API for setting app user id

App Usage Dimensions

Below are dimensions and dimension attributes that are available for reporting.

Dimension Description Value
company Flurry company account id, name (default)
app Flurry app id, name (default), company|id, apiKey, platform|id, platform|name
country Per country dimension totals id, name (default), iso
appVersion App’s version id, name, company id, app id, deleted and filtered. Deleted and filtered are boolean (0 or 1) and reflect current status of an app version based on developer’s action on Flurry developer portal id, name (default), company|id, app|id, deleted, filtered
language Language id and name id, name (default)
region Region id and name id, name (default)
category App category id and name id, name (default)

Time Grain

  • day
  • week
  • month
  • all

There are instances when you want to know the possible values for dimensions before running metric queries. For example: list names and api keys for all apps on your company account;show=name,apiKey?metrics=...

In general, to see a value other than defalut name returend for the given dimension, add

;show=id  (any other value listed in the value column above for the given dimension

after the dimension name;show=all/category?metrics=sessions,activeDevices,newDevices,timeSpent&dateTime=2017-05-01/2017-05-02;show=iso/category?metrics=sessions,activeDevices,newDevices,timeSpent&dateTime=2017-05-01/2017-05-02

Refer to Analytics API for all the parameters, list of error codes and other general information about this API

Example key App Usage metrics queries

For all your apps, daily Sessions, daily Active Devices, New Devices for 2 days*: * note that since there is no app info included in the filter, results will include all apps for your company



        "rows": [{
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "foo",
                "sessions": 372,
                "activeDevices": 123,
                "newDevices": 32},
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "bar",
                "sessions": 1120,
                "activeDevices": 487,
                "newDevices": 34},
                "dateTime": "2016-07-02 00:00:00.000-07:00",
                "app|name": "foo",
                "sessions": 421,
                "activeDevices": 140,
                "newDevices": 12},
                "dateTime": "2016-07-02 00:00:00.000-07:00",
                "app|name": "bar",
                "sessions": 1164,
                "activeDevices": 453,
                "newDevices": 51}]

For a specific app, daily Sessions, Active Devices and New Devices for 2 months:

Request using Flurry API key:,activeDevices,newDevices&dateTime=2016-06-01/2016-08-01&filters=app|apiKey-in[3WD7Q8329867K7MY6RNS]

Request using App name:,activeDevices,newDevices&dateTime=2016-06-01/2016-08-01&filters=app|name-in[appname]


        "rows": [{
                "dateTime": "2016-06-01 00:00:00.000-07:00",
                "app|name": "foo",
                "sessions": 12744,
                "activeDevices": 6373,
                "newDevices": 6373
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "foo",
                "sessions": 13805,
                "activeDevices": 6882,
                "newDevices": 6882