The Flurry team has put together a collection of video tutorials to help you understand more about the features and metrics available in Flurry Analytics.
You may wish to view these videos in the following sequence, beginning with an overview and ending with a video on how to manage account permissions.
Overview of Flurry Analytics¶
This introductory video provides an overview of the basic capabilities available in Flurry Analytics, the powerful and free app analytics platform from Flurry.
The topics covered demonstrate how you can measure your app usage, understand your app audience, including their age and gender, and perform powerful audience segmentation. After viewing this video, check out the Custom Event Reporting video to learn how implementing custom events can provide a wealth of additional insight into your app.
Real-time metrics is a Flurry analytics tool that provides you with real-time data on how your app may be impacted by user updates, user acquisitions, or enhancements. The tool is powerful yet easy to use.
You can view real-time metrics for up to 5 of your apps. Sessions are displayed by the minute and hour, and active devices are displayed by the hour. The metrics are updated every 15 seconds.
To understand more about how real-time metrics works, you may wish to view this video tutorial.
We cover what custom events are, how you can use them, and how to integrate them into your app. After watching this video, check out our video Advanced Event Features: Segments, Funnels, and User Paths to learn about the advanced capabilities, such as user paths and conversion funnels that are unlocked after implementing custom events.
Advanced Event Features - Funnels¶
Funnels let you track the conversion of users as they progress through a series of defined steps. This enables you to visualize the completion rate of user progression through any event flow and identify which steps users are not converting through.
Including a Dimension allows you to visually compare conversion rates by different attributes. Adding Filters allows you to narrow the scope of the funnel to analyze a subset of users.
Learn how to create custom segments in Flurry Analytics to help you dive deeper into the behavior of specific groups of your app users.
Understanding Retention Metrics¶
Retention Analysis is an industry standard that focuses on users taking one action and then repeatedly taking the same or another action over time.
One example, available on the Retention dashboard in the Metrics section of Flurry is Return Rate. In Return Rate, an app’s users are grouped, or cohorted by the Day, Week or Month they installed the app and then measured on their Daily, Weekly or Monthly usage of the app. Other variants of Retention Analysis allow you to use Events to define the cohorting and measurement of the analysis.
Using Explorer, you can easily build and run queries that examine the behavior and performance of groups of users related by a number of common attributes.
Use Explorer as an ad hoc query tool to ask questions of your app data that are entirely unique to your app and get answers within seconds. In doing so, you can test and validate different hypotheses about in-app behavior on the fly.
Using Measures in Explorer, you can calculate ad hoc metrics from your app’s data using powerful aggregation, filtering and grouping capabilities.
For example, when you run queries with segments, you can determine the popularity of a product, based on a geographical breakdown or other demographic. In doing so, you can analyze product trends for your app or business.
Typically, you can analyze your app’s data by aggregating and grouping metrics by specific dimensions. This type of segmentation analysis is most useful when you need to dig deeper into a particular metric and understand how it breaks down by different dimensions.