Analytics8

Data and Analytics. It's what we do.

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About Analytics8
We have a 4-step method that lays the groundwork for creating a data-driven culture at your company. We’ve done this many times – we know what works and what doesn’t work so you can quickly hone in on the right solutions.
NA
10 - 49
United States, Australia
Analytics8
Data and Analytics. It's what we do.
0.00/5 (0 Reviews)
Services
  • Data & Analytics Strategy
  • Data Warehousing
  • Data Prep & Architecture
  • Data Science
  • Data Visualization
  • Software Evaluation & Selection
  • Training
  • Managed Services
Focus
Service Focus
Discussions
Mobile data analytics is a priceless technology to study the user’s interaction with the mobile apps. The sophisticated analytic tools use algorithms and data-warehouse techniques to draw valuable information from various data sources.  Based on this information, users/developers decide on their mobile app optimization methods and design their strategy for customer engagement.   The analysis of a mobile app may include - studying buyer’s experience on an e-commerce app, a user’s click rates on some game app, or even the most toggled functionality on a fitness app.   The app could be intuitive, but the right app should meet the business goal while enhancing the user’s experience. If you take a holistic view of any successful business app, the app development is just the chunk of the pie. The real journey of a business app actually begins once it is developed.   The journey of an app from point A to point Z may go haywire. However, a vigilant eye in the form of an analytic tool can improve this along the way. They feed all the essential information required for the best health of your app.    Openxcell, a seasoned app development company, gives a glimpse of what analytic metrics count more for a business app, the purpose of analysis, and some valuable tools for the game-on.   What you can track on mobile apps using analytics tools    User Acquisition Metrics   Engagement Metrics               => Active Users   3. Revenue Metrics             => Average Revenue Per User(ARPU)             => Cost Per Install (CPI) and Cost Per Loyal User (CPLU)             => Retention            => Crash Report            => Loading Time            => Network issues   What Types of Analytics are Useful for Mobile Apps?           => Advertising and Marketing Analytics           => Cross-platform Comparison Analytics           => In-App Analytics and Behavioral Analytics           => Performance Analytics           => Visitor Analytics           => Visual Analytics   Best Analytics Tools for Mobile Apps   1)    Price: Free   Platforms/Device Supported: iOS, Android, Java ME, Blackberry, Windows Phone.   Flurry gives full insights about the audience by age, gender, location, engagement, device information, and more. It determines how users engage with your app as well as highlight the key drop-off points within your app. It pinpoints where in the app to make improvements.   2)    Price: Free   Platforms/Device Supported: iOS, Android.   Google Analytics is one of the pioneers in data analytics, and it is the top choice for mobile app analysis as well. It will help to see which category is the most popular, how long they stay on each screen, and how they navigate from one screen to the next. However, for mobile analytics, Google has decided to give dedicated service with the name Firebase Analytics. It uses an event-based data collection model and is very productive to track your in-app marketing campaigns.   3)   Price: Free + Premium   Platforms/Device Supported: iOS, Mac Store, Google Play, Amazon app store,   Like any other mobile analytics tool, App Annie also comes with standard features. But one feature specially set apart Annie app from the rest is the "Advanced Reviews" feature. The feature is based on a machine-learning algorithm that enables users to understand competitor ratings and reviews. Based on the competitor’s review, the user can learn customer sentiment and can improve their product performance.   4)    Price: Free + Premium ( contact Localytics to let you know the prices)   Platforms/Device Supported: iOS and Android.   Localytics designed a tool name “True Impact”. It is used to see exactly how users respond to your Localytics mobile app marketing campaigns. Further, if you want to engage customers then their push notification is an add-on you don’t want to miss. Localytics tool can be incredibly effective if used correctly.   5)    Price: Free + Premium (click here for prices)   Platforms/Device Supported: Android & iOS.   The predictive analytics model by Mixpanel uses past behaviors to surface the users that are likely (or unlikely) to perform an action. You can relate their actions to your goals like a purchase, an upsell, or higher retention, etc. Not just surface but also targets the potential converters or at-risk users with timely messages and special offers, to increase conversions.   6)    Price: Free + Premium (click here for prices)   Platforms/Device Supported: Android & iOS   The tool has more technical use than general app analysis. The tool is designed for app developers, and they can view recordings of user sessions, which can help them identify the causes behind an app crash or bugs that are affecting the user experience. The tool supports heat-maps that capture every micro-interaction on your app, enabling you to replay, analyze, and enhance the user experience.   7)   Price: Free   Platforms/Device Supported: iOS, Android, Blackberry, Windows Phone.   It is an open-source mobile and web analytics tool. The tool is unique as it supports the range of powerful plugins that empowers the analytics reports. It gives information about user activity at a granular level. Also, their crash log gives deep insight into the events leading to crash.   8)   Price: Free to a limit. Contact Appsee for special Startup rates.   Platforms/Device Supported: iOS, Android.   Appsee allows you to track funnel conversion rates and discover the drop-off reasons quickly. Their unique feature, “Action Cohorts” gives you valuable information on how one in-app action relates to another. It tracks the relation between a user’s 1st in-app purchase and 2nd in-app purchase.
Mobile data analytics is a priceless technology to study the user’s interaction with the mobile apps. The sophisticated analytic tools use algorithms and data-warehouse techniques to draw valuable information from various data sources.  Based on this information, users/developers decide on their mobile app optimization methods and design their strategy for customer engagement.   The analysis of a mobile app may include - studying buyer’s experience on an e-commerce app, a user’s click rates on some game app, or even the most toggled functionality on a fitness app.   The app could be intuitive, but the right app should meet the business goal while enhancing the user’s experience. If you take a holistic view of any successful business app, the app development is just the chunk of the pie. The real journey of a business app actually begins once it is developed.   The journey of an app from point A to point Z may go haywire. However, a vigilant eye in the form of an analytic tool can improve this along the way. They feed all the essential information required for the best health of your app.    Openxcell, a seasoned app development company, gives a glimpse of what analytic metrics count more for a business app, the purpose of analysis, and some valuable tools for the game-on.   What you can track on mobile apps using analytics tools    User Acquisition Metrics   Engagement Metrics               => Active Users   3. Revenue Metrics             => Average Revenue Per User(ARPU)             => Cost Per Install (CPI) and Cost Per Loyal User (CPLU)             => Retention            => Crash Report            => Loading Time            => Network issues   What Types of Analytics are Useful for Mobile Apps?           => Advertising and Marketing Analytics           => Cross-platform Comparison Analytics           => In-App Analytics and Behavioral Analytics           => Performance Analytics           => Visitor Analytics           => Visual Analytics   Best Analytics Tools for Mobile Apps   1)    Price: Free   Platforms/Device Supported: iOS, Android, Java ME, Blackberry, Windows Phone.   Flurry gives full insights about the audience by age, gender, location, engagement, device information, and more. It determines how users engage with your app as well as highlight the key drop-off points within your app. It pinpoints where in the app to make improvements.   2)    Price: Free   Platforms/Device Supported: iOS, Android.   Google Analytics is one of the pioneers in data analytics, and it is the top choice for mobile app analysis as well. It will help to see which category is the most popular, how long they stay on each screen, and how they navigate from one screen to the next. However, for mobile analytics, Google has decided to give dedicated service with the name Firebase Analytics. It uses an event-based data collection model and is very productive to track your in-app marketing campaigns.   3)   Price: Free + Premium   Platforms/Device Supported: iOS, Mac Store, Google Play, Amazon app store,   Like any other mobile analytics tool, App Annie also comes with standard features. But one feature specially set apart Annie app from the rest is the "Advanced Reviews" feature. The feature is based on a machine-learning algorithm that enables users to understand competitor ratings and reviews. Based on the competitor’s review, the user can learn customer sentiment and can improve their product performance.   4)    Price: Free + Premium ( contact Localytics to let you know the prices)   Platforms/Device Supported: iOS and Android.   Localytics designed a tool name “True Impact”. It is used to see exactly how users respond to your Localytics mobile app marketing campaigns. Further, if you want to engage customers then their push notification is an add-on you don’t want to miss. Localytics tool can be incredibly effective if used correctly.   5)    Price: Free + Premium (click here for prices)   Platforms/Device Supported: Android & iOS.   The predictive analytics model by Mixpanel uses past behaviors to surface the users that are likely (or unlikely) to perform an action. You can relate their actions to your goals like a purchase, an upsell, or higher retention, etc. Not just surface but also targets the potential converters or at-risk users with timely messages and special offers, to increase conversions.   6)    Price: Free + Premium (click here for prices)   Platforms/Device Supported: Android & iOS   The tool has more technical use than general app analysis. The tool is designed for app developers, and they can view recordings of user sessions, which can help them identify the causes behind an app crash or bugs that are affecting the user experience. The tool supports heat-maps that capture every micro-interaction on your app, enabling you to replay, analyze, and enhance the user experience.   7)   Price: Free   Platforms/Device Supported: iOS, Android, Blackberry, Windows Phone.   It is an open-source mobile and web analytics tool. The tool is unique as it supports the range of powerful plugins that empowers the analytics reports. It gives information about user activity at a granular level. Also, their crash log gives deep insight into the events leading to crash.   8)   Price: Free to a limit. Contact Appsee for special Startup rates.   Platforms/Device Supported: iOS, Android.   Appsee allows you to track funnel conversion rates and discover the drop-off reasons quickly. Their unique feature, “Action Cohorts” gives you valuable information on how one in-app action relates to another. It tracks the relation between a user’s 1st in-app purchase and 2nd in-app purchase.

Mobile data analytics is a priceless technology to study the user’s interaction with the mobile apps. The sophisticated analytic tools use algorithms and data-warehouse techniques to draw valuable information from various data sources. 

Based on this information, users/developers decide on their mobile app optimization methods and design their strategy for customer engagement.  

The analysis of a mobile app may include - studying buyer’s experience on an e-commerce app, a user’s click rates on some game app, or even the most toggled functionality on a fitness app.  

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The app could be intuitive, but the right app should meet the business goal while enhancing the user’s experience. If you take a holistic view of any successful business app, the app development is just the chunk of the pie. The real journey of a business app actually begins once it is developed.  

The journey of an app from point A to point Z may go haywire. However, a vigilant eye in the form of an analytic tool can improve this along the way. They feed all the essential information required for the best health of your app.   

Openxcell, a seasoned app development company, gives a glimpse of what analytic metrics count more for a business app, the purpose of analysis, and some valuable tools for the game-on.  

What you can track on mobile apps using analytics tools   

  1. User Acquisition Metrics  
  2. Engagement Metrics   

           => Active Users  

3. Revenue Metrics  

          => Average Revenue Per User(ARPU)  

          => Cost Per Install (CPI) and Cost Per Loyal User (CPLU)  

          => Retention  

         => Crash Report  

         => Loading Time  

         => Network issues  

What Types of Analytics are Useful for Mobile Apps?  

        => Advertising and Marketing Analytics  

        => Cross-platform Comparison Analytics  

        => In-App Analytics and Behavioral Analytics  

        => Performance Analytics  

        => Visitor Analytics  

        => Visual Analytics  

Best Analytics Tools for Mobile Apps  

1)   

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Price: Free  

Platforms/Device Supported: iOS, Android, Java ME, Blackberry, Windows Phone.  

Flurry gives full insights about the audience by age, gender, location, engagement, device information, and more. It determines how users engage with your app as well as highlight the key drop-off points within your app. It pinpoints where in the app to make improvements.  

2)   

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Price: Free  

Platforms/Device Supported: iOS, Android.  

Google Analytics is one of the pioneers in data analytics, and it is the top choice for mobile app analysis as well. It will help to see which category is the most popular, how long they stay on each screen, and how they navigate from one screen to the next. However, for mobile analytics, Google has decided to give dedicated service with the name Firebase Analytics. It uses an event-based data collection model and is very productive to track your in-app marketing campaigns.  

3)  

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Price: Free + Premium  

Platforms/Device Supported: iOS, Mac Store, Google Play, Amazon app store,  

Like any other mobile analytics tool, App Annie also comes with standard features. But one feature specially set apart Annie app from the rest is the "Advanced Reviews" feature. The feature is based on a machine-learning algorithm that enables users to understand competitor ratings and reviews. Based on the competitor’s review, the user can learn customer sentiment and can improve their product performance.  

4)   

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Price: Free + Premium ( contact Localytics to let you know the prices)  

Platforms/Device Supported: iOS and Android.  

Localytics designed a tool name “True Impact”. It is used to see exactly how users respond to your Localytics mobile app marketing campaigns. Further, if you want to engage customers then their push notification is an add-on you don’t want to miss. Localytics tool can be incredibly effective if used correctly.  

5)   

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Price: Free + Premium (click here for prices)  

Platforms/Device Supported: Android & iOS.  

The predictive analytics model by Mixpanel uses past behaviors to surface the users that are likely (or unlikely) to perform an action. You can relate their actions to your goals like a purchase, an upsell, or higher retention, etc. Not just surface but also targets the potential converters or at-risk users with timely messages and special offers, to increase conversions.  

6)   

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Price: Free + Premium (click here for prices)  

Platforms/Device Supported: Android & iOS  

The tool has more technical use than general app analysis. The tool is designed for app developers, and they can view recordings of user sessions, which can help them identify the causes behind an app crash or bugs that are affecting the user experience. The tool supports heat-maps that capture every micro-interaction on your app, enabling you to replay, analyze, and enhance the user experience.  

7)  

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Price: Free  

Platforms/Device Supported: iOS, Android, Blackberry, Windows Phone.  

It is an open-source mobile and web analytics tool. The tool is unique as it supports the range of powerful plugins that empowers the analytics reports. It gives information about user activity at a granular level. Also, their crash log gives deep insight into the events leading to crash.  

8)  

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Price: Free to a limit. Contact Appsee for special Startup rates.  

Platforms/Device Supported: iOS, Android.  

Appsee allows you to track funnel conversion rates and discover the drop-off reasons quickly. Their unique feature, “Action Cohorts” gives you valuable information on how one in-app action relates to another. It tracks the relation between a user’s 1st in-app purchase and 2nd in-app purchase.

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Analytics8
150 N Michigan Avenue, Chicago, Illinois 60601
United States
312-878-6600
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Analytics8
621 17th St Suite 2200 Denver, CO , Denver, Colorado 80293
United States
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Analytics8
Level 8 350 Collins St, Melbourne, Victoria 3000
Australia
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