User Acquisition Analytics in Flurry gives you the ability to analyze the quality of users with respect to your business parameters.
There are various reasons for using Flurry to measure user quality, which areas follows:
To know which age group is using your application more. We can identify the group that is most engaged with our application. This group is a high-quality group for our application business.
To know which user age group is contributing more in revenue generation. We can focus on such a user group and monetize them.
To determine which user age group will be the target for advertisements. Using this, the management can focus on these user groups to maximize the advertisement hit count and interaction with our application.
To know which of your applications is most used by quality users. We can understand the current hits in the market from our portfolio, and start focusing on that application, giving it a higher priority than others.
The following screenshot...
The strength of your user base is a prominent figure for any business. A user base basically comprises of customers or clients who fuel the business. If you get useful data to acquire quality users/clients/customers, what can be better than that? You can use data from Flurry to maintain user acquisition in following possible ways:
To determine the channel/advertising source that is providing you with quality users
To determine what your return of investment from a particular channel is
To optimize future advertisement campaigns as per your requirements
To target a portion of quality users determined in the next release
To set up a location-specific campaign to get maximum user acquisition
To extract the channel that can provide you maximum user coverage
To determine and implement the latest trends in your application domain
What if you acquired a decent number of users and are not able to retain them? User retention is the most challenging concern these days. It has become more difficult because of increased competition, dynamic markets, and fast-paced technology changes.
There are various possibilities to use data provided by Flurry to nourish user retention in our business:
Determine and change the product as per the evolving trends. As we know, moving with the times and the world is crucial. We can use Flurry to keep ourselves updated in the market as Flurry provides data from a huge stack of Big Data and analysis of this data.
Setting your focus on a positive customer group as per the data so that quality users are always there. There are a few groups of users whose retention gives us a lot of value; therefore, they can be focused on, instead of focusing on negative users.
The following screenshot demonstrates the output statistics generated from user retention data. These demographics help...
Flurry Analytics gives you enough data and various custom and preset metrics for you to understand user behavior. User behavior and tracking their interaction with your application can help you to increasingly engage users with your application, giving them the complete worth of their time.
For example, your application may provide them with the latest stories, and the user may indulge more in a certain type of stories, such as suspense or real-life stories. You can start providing more options of these types to increase their engagement with your application. In this way, Flurry can help us to take decision for better user retention.
We can use the data provided by Flurry to mine the information to gain actionable intelligence in the field of market research. We know where and how people use the application, and using this, we can monetize our users.
We can monetize our users in following ways:
Increasing revenue from advertisements as a result of marketing information, mined from the data provided by Flurry.
Applying charges after a certain limit of usage in various terms. For example, if your application exceeds more than 20 hits on your application program interface in an hour, you can charge a user.
Providing the selected advertisement to get the maximum return on investment for clients who provide the advertisements.
Cross-referencing one application with other concerns can increase the chance of monetizing users.
Providing large user-based data as a paid upgrade can monetize your users significantly.
We can use data from Flurry to identify a positive platform for us. Flurry provides a measure for platform-specific users and their interaction with apps that are built over different platforms. There are various platforms such as Android, iOS, Bada, Windows, and Symbian. Similarly, there are different devices that the user can access Flurry from, as shown in the following screenshot:
We can use the count of these users to determine the platform that should be focused on and targeted for advertisement and revenue generation.
The data from Flurry can be used to prepare awesome presentations to attract investors and sponsors for your application. Flurry provides good demographic representation of data that can be very useful for the marketing team while pitching the application. Thus, with the usage of data, we can build trust by showing investors and sponsors how well the application is currently performing.
Let's think about a developer's perspective of using Flurry. It not only eases the life of the installer, but also that of the developers to identify the root cause of a crash. As discussed in Chapter 3, Data Analytics, Flurry data can be used to debug your code and find the point of failure quickly.
Daily and hourly reporting can be used to generate an hourly or daily report that maintains a history of application performance and real-time decision-making processes for the application.
Similarly, you will know the number of active users in your application at any point in time, which helps a lot in taking dynamic decisions.
In this chapter, we learned and how to use data provided by Flurry to improve our business and marketing.
We came across various areas where this data can be used to enhance the application's presence on the market.
We have learned about the various ways to use of analytics data for our benefit and strong management controls.
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