Choose the best Analytics System for your application

Today, Data is the key to success for the organisations because creating an interactive application is only half achievement. Now its time to understand the user and their perspective to use an app. What are they like and dislike most in our app? How often they visit our app and how long they stay in the app? The best way of knowing that is using an analytics platform.

Considering the leading app stores, there are zillions of apps and its extremely important to track how people are using the app if you are meeting the goals you have set, and how you can improve the app to function better and attract more users.

Big data is at the foundation of all of the megatrends that are happening today, from social to mobile to the cloud to gaming. — Chris Lynch

Analytics System is popular because it does most of the analysis for you and saving you time and brainpower. These help measure app downloads and open-exit point, also track the amount of time spent in an app and construct funnels to track user activity. This software can produce different reports on data, such as real-time usage, trends over time, location segmentation, and device or operating system attributes and in many more ways. Data can be used by sales, marketing and other teams to understand popularity, statistics or demographic analysis.

Successful business strategies looking for below aspects in Analytics tools :

  • Provide data based on user’s interactions
  • Provide information about demographics or regional use
  • Statistics about trends or market
  • Analyze customer satisfaction and usage
  • Produce different custom reports outlining multiple factors

Here are a few market leaders in the quantitative mobile app analytics field.

This analytics platform with varieties of analytical options starting from Insights, Live View, Formulas, Flows, Funnels, Retention, and Signal. By default, Insights show the top recent events. One best option is Funnels which allow you to track how your customers move through your app or website by creating a series of step-through events.


  • Engagement Analytics
  • Conversion Funnels
  • Retention Analytics
  • A/B Testing
  • Automatic Insights
  • Revenue

Pricing plan: Starter-free plan(All analytics features with 1000 monthly tracked users), Growth (Upto 25000 monthly tracked users), Enterprise (based on request)

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Firebase is Google’s suite of tools which measures everything in one central location, from user engagement to app crashes. It is offering funnel visualization, cohort analysis, A/B testing and real-time analytics across the multi-platform. There is one incredibly thorough dashboard where you can view all user behavior and cross-network campaign performance. Additionally, you can export all of your raw data for custom querying.


  • Crash Reporting
  • Deep linking performance
  • In-app purchase data
  • Attribution
  • In-depth audience segmentation
  • Cloud storage
  • Real-time Database

Pricing plan: Spark plan — free, Flame Plan($25/month), Blaze Plan(calculating prices at scale)

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Facebook’s omni-channel analytics for better understanding of user’s interactions across devices and channels. Better visualization of people’s progress to conversions through their actions across page and website, mobile and desktop. It helps to get a full view of how people interact with you across your website, apps, Facebook Page and bots in one report. Facebook Analytics uses machine learning to analyze and monitor your data, saving time and helping you take action more quickly.


  • Custom Dashboard
  • Automated Insights
  • Journeys
  • Segments
  • Demographics
  • Revenue

Pricing plan: Free

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The first step to personalization is getting to know the basic defining characteristics of your audience. Localytics helping a business to build deeper, more successful relationships starting from traditional analytics for apps to smart targeting and marketing automation, Localytics offers a variety of features. The best part about Localytics, It makes few network calls, push notifications and in-app messages provide powerful metrics to understand and analyze the user behavior which helps predict the impact of any future features one would like to introduce.


  • Custom Dashboards
  • Sessions and Events
  • Retention
  • Attribution
  • Uninstall Tracking
  • Dynamic User Segmentation
  • A/B Testing

Pricing plan: Enterprise

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Data analytics is important because it helps businesses optimize their performances. Implementing it into the business model means companies can help reduce costs by identifying more efficient ways of doing business and by storing large amounts of data.

However, the power is not in data alone but also as it is being refined through analytics. Knowing your expectations is important when choosing a mobile app analytics platform. Many of the mobile app analytics platforms mentioned are going beyond just collecting data about the users and the app, offering mediation of ads, crash analysis, deep linking, and attribution.

A company can also use data analytics to make better business decisions and help analyze customer trends and satisfaction, which can lead to new — and better — products and services.