Analytics Kotlin Flurry Plugin

Flurry provides you with the tools and resources you need to gain a deep level of understanding about your users’ behavior in your apps.

Getting Started

1. From the Segment web app, click Catalog.
2. Search for “Flurry” in the Catalog, select it, and choose which of your sources to connect the destination to.
3. In the destination settings, enter your Flurry “API Key” in Segment’s Settings UI. You can retrieve this from your Flurry Admin > Apps > API Key. It should look like “4KKKGS3BAK4WW8WJ93DN”.
4. Follow the instructions in the GitHub repos: iOS SDK and Android SDK.
5. Once the Segment library is integrated with your app, toggle Flurry on in your Segment UI.

Note: Flurry does not always display data in real time. We’ve seen that it can take anywhere from a few hours to a few days for certain types of data to sync with Flurry.

Adding the dependency

To install the Segment-Flurry integration, simply add this line to your gradle file:

implementation 'com.segment.analytics.kotlin.destinations:flurry:<latest_version>'

Or the following for Kotlin DSL

implementation('com.segment.analytics.kotlin.destinations:flurry:<latest_version>')

Using the Plugin in your App

Open the file where you setup and configure the Analytics-Kotlin library. Add this plugin to the list of imports.

import com.segment.analytics.kotlin.destinations.flurry.FlurryDestination

Just under your Analytics-Kotlin library setup, call analytics.add(plugin = ...) to add an instance of the plugin to the Analytics timeline.

analytics = Analytics("<YOUR WRITE KEY>", applicationContext) {
    this.flushAt = 3
    this.trackApplicationLifecycleEvents = true
}
analytics.add(plugin = FlurryDestination())

Your events will now begin to flow to Flurry in device mode.

Screen

If you’re not familiar with the Segment Specs, take a look to understand what the Screen method does.

An example Screen call would look like:

analytics.screen("ScreenName", buildJsonObject {
    put("productSlug", "example-product-123")
});

Note: When you toggle the Screen Tracks As Events option on in your Flurry Segment UI - we will treat screen calls as events when sending them to Flurry.

Identify

If you’re not familiar with the Segment Specs, take a look to understand what the Identify method does.

An example Identify call would look like:

analytics.identify("user-123", buildJsonObject {
    put("username", "MisterWhiskers")
    put("email", "hello@test.com")
    put("plan", "premium")
});

When you call identify, we’ll set the user ID in Flurry, and set any special Flurry traits you provide, such as gender, or age.

Track

If you’re not familiar with the Segment Specs, take a look to understand what the Track method does.

An example Track call would look like:

analytics.track("View Product", buildJsonObject {
    put("productId", 123)
    put("productName" "Striped trousers")
});