Swift Ga Tracker For Apple Tvos

Google Analytics tracker for Apple tvOS provides an easy integration of Google Analytics’ measurement protocol for Apple TV.
Alternatives To Swift Ga Tracker For Apple Tvos
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
13 years ago20October 22, 20182mitSwift
An extensible monitoring framework written in Swift
Swift Ga Tracker For Apple Tvos76
3 years ago9bsd-3-clauseSwift
Google Analytics tracker for Apple tvOS provides an easy integration of Google Analytics’ measurement protocol for Apple TV.
6 years ago2October 09, 2017mitSwift
Backport of Foundations’ Measurements API
Alternatives To Swift Ga Tracker For Apple Tvos
Select To Compare

Alternative Project Comparisons

Google Analytics tracker for Apple tvOS

by Adswerve


Google Analytics tracker for Apple tvOS provides an easy integration of Google Analytics measurement protocol for Apple TV. This library enables sending screenviews, events, exceptions and any other hit type to Google Analytics. Implementation of the library and sending an initial hit to Google Analytics takes only a few minutes.


All code for this tracker is located inside a single file GATracker.swift. The first step of the implementation is associating this library file with your application project.

This library creates an object (a tracker) that holds persistent values such as client id, property id, and more. The tracker is created with the following command:


This code should run in the AppDelegate method applicationDidFinishLaunchingWithOptions.

Hit Examples

Once the tracker is set up you can start sending Google Analytics hits from your Apple TV application.


When sending the screenview hit type, the screenname parameter is a required field.

GATracker.sharedInstance.screenView("FirstScreen", customParameters: nil)


When sending the event hit type, the event category and action a required fields

GATracker.sharedInstance.event("category", action: "action", label: nil, customParameters: nil)


When sending the exception hit, the exception description and exception fatality are both required parameters

GATracker.sharedInstance.exception("This test failed", isFatal: true, customParameters: nil)

Sending Additional Parameters

With each hit you are also able to send additional parameters as specified in the Measurement Protocol reference. Examples include: non interactive hit, event value, custom dimensions, custom metrics etc.

In the following example we will add custom metric values and set this event hit as non interactive. The example shows how to send a video progress hit that includes video name as custom dimension 1, video author as custom dimension 2 and sets the event as non interactive (since this event is not a result of user interaction).

GATracker.sharedInstance.event("Video", action: "Progress", label:"50%", customParameters: ["cd1":"Incredible Video", "cd2":"Amazing A. Uthor", "ni":1])

As mentioned before you are able to use any measurement protocol parameters inside the customParameters dictionary. https://developers.google.com/analytics/devguides/collection/protocol/v1/parameters?hl=en

Sending Other Hit Types to Google Analytics

Screenview, event and exception are not the only hit types available in Google Analytics, to send a different hit such as a transaction, item, social or timing hit use the send function.

In the following example we will send a transaction hit with transaction id 10001 and transaction revenue of $425,00.

GATracker.sharedInstance.send("transaction", params: ["tid":"10001", "tr":"425,00", "cu":"USD"])

For additional information email [email protected] or visit our website http://www.analyticspros.com

Sample App

When running the sample app make sure ot update the property id in the app delegate.

GATracker.setup("[insert your GA property id]")
Popular Measurements Projects
Popular Tvos Projects
Popular Mathematics Categories

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Google Analytics