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

Our Flurry destination code is open sourced on Github. Feel free to check it out: iOS, Android.

This document was last updated on January 10, 2019. If you notice any gaps, outdated information or simply want to leave some feedback to help us improve our documentation, please let us know!

Getting Started

The first step is to make sure Flurry supports the source type and connection mode you’ve chosen to implement. You can learn more about what dictates the connection modes we support here.

1. From your Segment UI’s Destinations page click on “Add Destination”.
2. Search for “Flurry” within the Destinations Catalog and confirm the Source you’d like to connect to.
3. Drop in 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.

Screen

If you haven’t had a chance to review our spec, please take a look to understand what the Screen method does.

An example iOS call would look like:

[[SEGAnalytics sharedAnalytics] screen:@"Home"];

An example Android call would look like:

Analytics.with(context).screen("Feed");

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 haven’t had a chance to review our spec, please take a look to understand what the Identify method does.

An example iOS call would look like:

[[SEGAnalytics sharedAnalytics] identify:@"f4ca124298", traits: @{
    @"age" : @"23",
    @"gender" : @"Male"
}];

An example Android call would look like:

Analytics.with(context).identify("f4ca124298", new Traits().putAge("23").putGender("Male"));

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 haven’t had a chance to review our spec, please take a look to understand what the Track method does.

An example iOS call would look like:

[[SEGAnalytics sharedAnalytics] track:@"Item Purchased"
                           properties:@{ @"item": @"Sword of Heracles", @"revenue": @2.95 }];

An example Android call would look like:

Analytics.with(context).track("Signed up", new Properties().putValue("plan", "Enterprise"));

If you have any questions, or see anywhere we can improve our documentation, please let us know!