Android client to Stream Analytics APIs
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Latest commit 62f624f Oct 17, 2017

GetStream Android Analytics Client

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How to use it

Stream allows you to build, scale and personalize your feeds. Please have a look at the analytics docs to learn how to setup the tracking required for the analytics dashboard and the personalized feeds. Implementing analytics is an important step towards improving engagement, conversion and retention within your app.

Download the client:

Releases are listed here:

Import the library in your gradle project:

    dependencies {
        compile files('/path_to_file/stream-analytics-release-1.1.0.aar')

Add the INTERNET permission in your application's AndroidManifest.xml

    <uses-permission android:name="android.permission.INTERNET" />


Create an instance of the client with your credentials in an Activity or Application class

        StreamAnalyticsAuth auth = new StreamAnalyticsAuth(API_KEY, API_TOKEN);
        StreamAnalytics client = StreamAnalyticsImpl.getInstance(auth);
        client.setUser("486892", "Eric");

You can set the global userId in the client and optionally override it per tracking event call.

Example engagement tracking

 client.send(new Engagement.EventBuilder()
        new Content.ContentBuilder()
            .withAttribute("verb", "share")
            .withAttribute("actor", new ContentAttribute("1", "user1"))

Example impression tracking

Every time you display content to the user, you should track the impression. The impression event allows you to track what content is displayed to the user. There are 2 required fields that you need to provide:

  • foreignId: of the content you are showing to the user. "foreign_id" field is a mandatory field of the Content object. You can specify multiple Contents by using the ContentList field.
  • feedId: the "feed_id" (eg. "flat:123", "newsfeed:42") from where the content origins, if the content does not come from a Stream's powered feed you should use a clear and unique identifier (eg. "user_search_page", "user42_profile_page", etc.)

Here's an example of how you would track the display of the "user:ChartMill" feed to the current user, the example implies that the user was presented with a list of contents: one message with ID 34349698 and one comment with ID 414416008. Using a combiantion of content_type and ID is a very simple way to avoid collision between objects of different types.

 client.send(new Impression.EventBuilder()
        new Content.ContentBuilder()
            .withAttribute("verb", "share")
            .withAttribute("actor", new ContentAttribute("1", "user1"))
        new Content.ContentBuilder()
        new Content.ContentBuilder()

You can find a comprehensive list of all optional parameters that you can send with the impression event in the API reference docs.

Additional fields reference

You can get more information out of analytics by adding extra information regarding impressions and engagements. Below you can fine the list of additional fields that you can provide to both Engagement and Impression events.


An integer that multiplies the score of the interaction (eg. 2 or -1)


A string representing the location of the content (eg. "homepage")


When tracking interactions with content, it might be useful to provide the ordinal position (eg. 2)


If necessary, you can send additional information about the data involved or the specific event. The features field must be a list of feature objects. The feature object will convert this into a group and value.


 new Impression.EventBuilder().withFeatures(
   new Feature("topic", "politics"),
   new Feature("private", "false")

Sample app

There is an example app available on GitHub.