Analytics is all about collecting data and churning it into useful information which further gives useful insights into better business performance.
How Analytics help business to better performance?
In the today’s world where companies are finding the competitive edge to sustain their position or to grow a level up, analytics has played a vital role in that.
Earlier when analytics was just known to the world, it was only limited to the web. And now, with the advances in technology, Analytics has opened the doors for mobile as well.
Mobile App Analytics is not just cemented to knowing how many people downloaded the app or how you are generating revenue out of it or what people think about your app. It’s actually more than that.
What can you track using mobile analytics?
User Acquisition Metrics
This is the most important metrics in app analytics and will remain the one. This metrics helps you in getting information about the channel where the users have come from, i.e. organic search, paid apps or in-app referrals. Getting information in depth, you can influence more number of users to install the app.
Besides this, you can get information on the operating system used by the users, geographic location, mobile networks used by them and which app version they are using in current. This app analytical report can help you in executing fruitful plans, for example, reducing the loading time of your app can earn you more revenue as this will increase your number of app downloads.
Engagement Metrics
In app analytics, just the number of app downloads will not help you in gaining the actual data. You will get them by tracking the movement and behaviour of active users.
There are various articles around the web that provide the list of user engagement metrics you need to track. But what you should track depends on the purpose of developing the app. For instance, a gaming application like Candy Crush would track the number of visits rather than the time duration whereas an app like Zomato would track the frequency of use and order from different restaurants via this very app because this data will help them get useful insights on how the app is getting used by users and what strategies they can execute to increase user engagement.
Active Users
To analyze user engagement me trics of an app, you need to analyze the count of active users.
Who are active users?
Active users are those who use your app frequently in a specific time period. This helps you gain useful insights on the user’s interest on the basis of which, you can plan effective strategies to leverage more users to download your app and enhance your user engagement.
Revenue Metrics
Revenue is calculated based on the price of the apps , in-app purchases and conversion rates.
Below are a few revenue metrics you should know while calculating the revenue of your app:
Average Revenue Per User(ARPU):
It is the average revenue you bring in from each user using your application. It is calculated by dividing the per user revenue produced by the total count of users of that specific month. Basically, ARPU should be used to calculate the number of paid installs, organic installs, and total installs in order to reframe or improvise monetization strategies if needed.
Cost Per Install (CPI) and Cost Per Loyal User (CPLU):
CPI refers to the real cost you paid to know the users who have installed your app. CPLU refers to the cost to get new users- the ones who install your app at least three times.
Retention:
Retention is the biggest challenge faced by mobile app developers and publishers. The analysis helps you in tracking the number of visits per user and the app performance in depth.
Performance Metrics allows you to measure the user’s experience using your app. Therefore, to deeply understand user experience, you need to peep into a few performance metrics;
Crash Report:
The crashing of app distracts users and as a consequence, users may uninstall the app and never install it again if the issue continues to slow down the app performance. However, the crash report helps app developers to understand how, when and where the app got crashed.
Loading Time:
Loading time refers to the time taken by the app to fetch the data and display the same on the screen. The more the app takes the time to load, the more it turns out to be an irritative factor for the user. However, performance metrics gives app developers an understanding where the app takes the time to load so that they can work on and reduce the loading time.
Network issues:
This is another hindrance to app performance. Today, many apps run online. Meaning, apps directly fetches information from the web and there is no messenger in between to pass the data, for example, Database. Therefore, whenever the internet does not work or server is not working, the app pop ups with a Network Issue message box giving users the appropriate reason as in why the app is not functioning well.
This app analytics metrics let app developers know when did the network issue message box pop up and how many times the app got crashed noticing the same.
How Analytics help business to better performance?
In the today’s world where companies are finding the competitive edge to sustain their position or to grow a level up, analytics has played a vital role in that.
Earlier when analytics was just known to the world, it was only limited to the web. And now, with the advances in technology, Analytics has opened the doors for mobile as well.
Mobile App Analytics is not just cemented to knowing how many people downloaded the app or how you are generating revenue out of it or what people think about your app. It’s actually more than that.
What can you track using mobile analytics?
User Acquisition Metrics
This is the most important metrics in app analytics and will remain the one. This metrics helps you in getting information about the channel where the users have come from, i.e. organic search, paid apps or in-app referrals. Getting information in depth, you can influence more number of users to install the app.
Besides this, you can get information on the operating system used by the users, geographic location, mobile networks used by them and which app version they are using in current. This app analytical report can help you in executing fruitful plans, for example, reducing the loading time of your app can earn you more revenue as this will increase your number of app downloads.
Engagement Metrics
In app analytics, just the number of app downloads will not help you in gaining the actual data. You will get them by tracking the movement and behaviour of active users.
There are various articles around the web that provide the list of user engagement metrics you need to track. But what you should track depends on the purpose of developing the app. For instance, a gaming application like Candy Crush would track the number of visits rather than the time duration whereas an app like Zomato would track the frequency of use and order from different restaurants via this very app because this data will help them get useful insights on how the app is getting used by users and what strategies they can execute to increase user engagement.
Active Users
To analyze user engagement me trics of an app, you need to analyze the count of active users.
Who are active users?
Active users are those who use your app frequently in a specific time period. This helps you gain useful insights on the user’s interest on the basis of which, you can plan effective strategies to leverage more users to download your app and enhance your user engagement.
Revenue Metrics
Revenue is calculated based on the price of the apps , in-app purchases and conversion rates.
Below are a few revenue metrics you should know while calculating the revenue of your app:
Average Revenue Per User(ARPU):
It is the average revenue you bring in from each user using your application. It is calculated by dividing the per user revenue produced by the total count of users of that specific month. Basically, ARPU should be used to calculate the number of paid installs, organic installs, and total installs in order to reframe or improvise monetization strategies if needed.
Cost Per Install (CPI) and Cost Per Loyal User (CPLU):
CPI refers to the real cost you paid to know the users who have installed your app. CPLU refers to the cost to get new users- the ones who install your app at least three times.
Retention:
Retention is the biggest challenge faced by mobile app developers and publishers. The analysis helps you in tracking the number of visits per user and the app performance in depth.
Performance Metrics allows you to measure the user’s experience using your app. Therefore, to deeply understand user experience, you need to peep into a few performance metrics;
Crash Report:
The crashing of app distracts users and as a consequence, users may uninstall the app and never install it again if the issue continues to slow down the app performance. However, the crash report helps app developers to understand how, when and where the app got crashed.
Loading Time:
Loading time refers to the time taken by the app to fetch the data and display the same on the screen. The more the app takes the time to load, the more it turns out to be an irritative factor for the user. However, performance metrics gives app developers an understanding where the app takes the time to load so that they can work on and reduce the loading time.
Network issues:
This is another hindrance to app performance. Today, many apps run online. Meaning, apps directly fetches information from the web and there is no messenger in between to pass the data, for example, Database. Therefore, whenever the internet does not work or server is not working, the app pop ups with a Network Issue message box giving users the appropriate reason as in why the app is not functioning well.
This app analytics metrics let app developers know when did the network issue message box pop up and how many times the app got crashed noticing the same.
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