Needlessly Promiscuous, Modularize!
    Have ideas to improve npm?Join in the discussion! »

    TypeScript icon, indicating that this package has built-in type declarations

    0.1.1 • Public • Published

    GoogleAnalyticsBridge npm version

    Google Analytics Bridge is built to provide an easy interface to the native Google Analytics libraries on both iOS and Android.

    Why a native bridge?

    There already exists an excellent library for Google Analytics tracking by lwansbrough which uses just JavaScript, why do we need a native bridge?

    The key difference is that with this native bridge you get a lot of the metadata handled automatically by the Google Analytics library. This will include the device UUID, device model, viewport size, OS version etc. With the pure javascript variant you will have to pull this information out via a native bridge (e.g. with rebeccahughes' DeviceInfo) in order to track it.

    With the native library you will only have to send in a few parameteres when tracking, e.g:

    const GoogleAnalytics = require('react-native-google-analytics-bridge');
    GoogleAnalytics.trackEvent('testcategory', 'testaction');

    Installation with rnpm

    1. npm install --save react-native-google-analytics-bridge
    2. rnpm link react-native-google-analytics-bridge

    With this, rnpm will do most of the heavy lifting for linking, but you will still need to do some of the manual steps below.

    These are step 5 and 6 from the iOS installation, and step 4 from the Android installation. Specifically for Android step 4, you'll have to add the tracking id.

    Manual installation iOS

    1. npm install --save react-native-google-analytics-bridge
    2. In XCode, right click the Libraries folder under your project ➜ Add Files to <your project>.
    3. Go to node_modulesreact-native-google-analytics-bridgeiosRCTGoogleAnalyticsBridge and add the RCTGoogleAnalyticsBridge.xcodeproj file.
    4. Add libRCTGoogleAnalyticsBridge.a from the linked project to your project properties ➜ "Build Phases" ➜ "Link Binary With Libraries"
    5. Next you will have to link a few more SDK framework/libraries which are required by GA (if you do not already have them linked.) Under the same "Link Binary With Libraries", click the + and add the following:
    6. AdSupport.framework
    7. CoreData.framework
    8. SystemConfiguration.framework
    9. libz.tbd
    10. libsqlite3.0.tbd
    11. Under your project properties ➜ "Info", add a new line with the following:
    12. Key: GAITrackingId
    13. Type: String
    14. Value: UA-12345-1 (in other words, your own tracking id).

    Prerequisites for Android

    Make sure you have the following SDK packages installed in the Android SDK Manager:

    • Google Repository
    • Google Play services
    • Google APIs (Atom) system image

    Consult this guide if you are unsure how to do this. Specifically step 3 for the mentioned packages.

    Manual installation Android

    1. npm install --save react-native-google-analytics-bridge
    2. Add the following in android/setting.gradle
    include ':GoogleAnalyticsBridge', ':app'
    project(':GoogleAnalyticsBridge').projectDir = new File(rootProject.projectDir, '../node_modules/react-native-google-analytics-bridge/android')
    1. And the following in android/app/build.gradle
    dependencies {
        compile project(':GoogleAnalyticsBridge')
    1. Register package in
    // Step 1; import package: 
    import com.idehub.GoogleAnalyticsBridge.GoogleAnalyticsBridgePackage;
    public class MainActivity extends Activity implements DefaultHardwareBackBtnHandler {
        protected void onCreate(Bundle savedInstanceState) {
            mReactInstanceManager = ReactInstanceManager.builder()
                    .addPackage(new MainReactPackage())
                    // Step 2; register package, with your GA tracking id: 
                    .addPackage(new GoogleAnalyticsBridgePackage("UA-12345-1"))

    Javascript API

    At the moment the implementation exposes three methods:


    This method only takes one parameter, the name of the current screen view. E. g. GoogleAnalytics.trackScreenView('Home').

    Important: Calling this will also set the "current view" for other calls. So events tracked will be tagged as having occured on the current view, Home in this example. This means it is important to track navigation, especially if events can fire on different views.

    trackEvent(category, action, optionalValues = {})

    This method takes takes two required parameters, the event category and action. The optionalValues has two possible properties, label and value.

    As the name implies, optionalValues can be left out, or can contain one or both properties. Whatever floats your boat.

    E. g. GoogleAnalytics.trackEvent('testcategory', 'testaction'); or GoogleAnalytics.trackEvent('testcategory', 'testaction', { label: "v1.0.3", value: 22 });

    Note: Label is a string, while value must be a number.


    This method takes a boolean parameter indicating if the dryRun flag should be enabled or not.

    When enabled, GoogleAnalytics.setDryRun(true), the native library prevents any data from being sent to Google Analytics. This allows you to test or debug the implementation, without your test data appearing in your Google Analytics reports.


    • dryRun flag
    • Simple Ecommerce
    • Make the library more configureable