In this chapter, we will see how Flurry helps you to analyze data. It provides you with unique insights into your application and uses its huge data collection to help you with your analysis.
We will learn about the following features of Flurry that help with data analysis and how to use them:
Funnel analysis
Segments
Portfolio Analytics
User Acquisition analysis
Customizing your dashboard
Crash Analytics
Big Data benefit
You can select a sequence of events from your application to form a funnel. This will define how users use your application, let you define the path to be tracked, and when users can traverse that path in your application. Now Flurry will display the statistics specific to that sequence. For example, you can create a series of events where a user signs in to your application, selects a particular product, views its features, adds it to the cart, and confirms the order. In this way, you can understand the percentage of consumers who move from one step to the next. You can then find out where event transition improvement is needed or applaud the winning transition.
To create a funnel, go to the left-hand side bar, click on Funnels in the Events drop-down, and select Add new funnels. As shown in the following screenshot, you can continue here with the name and description of your funnel:
You will see the interface shown...
Segments are basically different categories of application users who represent a group. We can create segments that will help us to monitor a finely tuned group of typical users. For example, you can create a segment of users who are adults, a segment of users who are male, a segment of user who are female, and so on.
The parameters for segmentation can include the following:
Date range
Custom events
Usage
Location
User gender
User age range
User language
To create segments, go to the Manage tab on the left-hand side bar and click on the Segments item in its drop-down list.
You will find the Create New Segment button as show in the following screenshot:
Clicking on the Create New Segment button will take you to the parameter setting page. Here you can set up the date range criteria, usage criteria, user/audience specific criteria, location criteria, and name your segment from the Date Range, Usage, Custom Events, Audience, and Location tabs respectively as shown in the following screenshot...
A certain organization can track more than one application with Portfolio Analytics using Flurry. For such cases, there can exist a portfolio of applications configured in Flurry for analysis. Now with Flurry, you can track the conversion between one or more of your applications. For example, we may be advertising one of our applications in any of our other applications; thus, users may be sourced from one of your applications to another. An analysis of these patterns can be very useful.
Through portfolio analysis, you can get metrics for the following:
Cross-Selling: One of your applications refers users to another of your applications
Up-Selling: One of your applications is upgraded to "paid", that is, free-to-paid conversion
Cross-App Usage: Users using several applications within one portfolio
Cross-App Funnels: Users sharing funnels between several applications
To set up Cross-Selling tracking, go to the Conversions tab on the left side bar and click on the Cross-Selling...
User Acquisition helps you to track your users' engagement-related statistics. This section of Flurry helps you to track your user engagement through several factors based on channel, clicks, installations, and many more.
User Acquisition analysis can be done on a complete portfolio of applications as well as on a single application being tracked in Flurry.
You can target your campaign as well as your channels to get quantifiable data, which can help you to know your quality users around the globe.
This analysis is the best way to know the return on investment in marketing. We can invest in various marketing channels, such as mobile ad networks or web mobile e-mail campaigns. Flurry User Acquisition analytics provides you with metrics to quantify the quality of acquired users, a pictorial representation of data, and their spending pattern on the basis of user interaction with your application.
The reports from this analysis can help you tell which advertising deal...
Flurry allows you to customize your dashboard to get all your details and data analytics with a single click. You can add all your frequently accessed components in the dashboard.
Customizing your dashboard can help you in the following ways:
You can create a representation for displaying a standard set of metrics for each of your applications
User-specific access to the dashboard as per your requirements
You can set up an application-specific dashboard
You can select the most frequently used applications for quick access
To create a custom dashboard, go to the Create Dashboard item on the Dashboards menu item on the left side bar as shown in the following screenshot:
Here you can proceed in two ways:
When creating your own dashboard from scratch, you will get blank widgets. Here you can configure, move, or delete the widgets as per your requirements:
On clicking on the configuration...
Last but not the least, crash analysis can be done by the Errors item in the Technical menu item on the side bar in any application page. It gives you a graphical representation of the total errors over time, average errors per session, a detailed view, and exception log. It makes the life of a technical team very easy by helping track mishaps in the application.
The following are the advantages of Crash Analytics in Flurry:
We can prioritize the errors and crashes that have been tracked. We can do this using the same SDK
We can receive an e-mail notification of the crash so that the implementers are notified of the application crash before it's too late
We can get full stack traces of errors with symbolication
We can find errors listed by their name
We will be learning about Crash Analytics in detail in Chapter 4, Technical Analytics.
Using Flurry gives you the greatest of all the benefits, in the form of Big Data analysis reports. As we all know, Flurry reaches one billion devices per month, and as a result, they are sourced with 3 terabytes of data per day approximately. Similarly, the developers are able to gather information from 3.5 billion sessions per day and are working with 115,000 companies.
So, what does this mean for us? It gives us insights from huge amounts of data, which helps us in the following ways:
It helps you to set a benchmark from the real world
You can classify your application into certain categories
It gives you a demographic estimation of the age and gender of your application users
Knowing Consumer expectation and point of interest in your application
In this chapter, we learned about how we can use Flurry to generate metrics according to our needs. We are now familiar with how Flurry can be set up to get a finely tuned analysis of our application data. We now know about the different ways to analyze data related to our application. We learned to create funnels and segments, which are fundamental concepts to fine-tune data analysis.
In the next chapter, we will learn about the ways to track errors using Flurry.
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