Book Image

Getting Started with Flurry Analytics

By : Bhanu Birani
Book Image

Getting Started with Flurry Analytics

By: Bhanu Birani

Overview of this book

Analytics help you to understand the way your users are interacting with your mobile application. Flurry provides you with a strong analytics tool to keep track of your application and to analyze your application data without much hassle. It provides an SDK for almost all platforms to gather data from all platforms of mobile and web applications. The enormous amount of data Flurry handles directly translates into unique, powerful insights into your applications.Getting Started with Flurry Analytics is a practical, hands-on guide to instantly getting started with Flurry analytics using step-by-step exercises. You will take advantage of the real power of Flurry analytics and provides you with an example-based learning approach to help you master it quickly and efficiently.This book starts by discussing how to set up and integrate Flurry analytics and ends by making you aware of how to track your application using Parse. You will also learn about tracking your application data using Flurry analytics to strengthen your strategies and to improve the application monetization process. You will also learn about configuration and implementation of Flurry analytics and how to make the application track all the necessary details to empower management decisions.
Table of Contents (12 chapters)

User retention


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:

  1. 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...