Top App Analytics Tools of 2022

Tracking app performance is really important. As it shares information like change, where maintenance is required and what is working, and what is not working for it. A tracking app helps in many ways in tracking all the information that is needed to make the app successful. Top App Analytics tools can be divided into several macro-categories,  such as App marketing analytics, In-app analytics, and App Performance analytics. Here we have the description of each for a better understanding of each type of app.

App Marketing Analytics 

App Marketing Analytics helps with things like whether a user finds your app while browsing the websites or not. It also helps with information like app downloads and in-app purchases and things related to it. This is the first step to monetizing the application, increasing return on investment, and not losing customers. It also helps with the KPIs of your mobile app marketing campaigns.

It also allows you to keep tabs on your app competitors’ performance like app installs, ranking, and revenue across multiple app stores. It also helps with targeting keywords and other marketing strategies to earn more revenue.

In-App Analytics 

Top In-app analytics tells you everything that your users do within the application. What steps do they usually follow? How do they behave within the app?  It helps you with the data that analyze your users and provide you with valuable information, for example, the most frequent users of your apps need not coincide with the most valuable – so how do you turn one into the other?

App performance analytics

This analytics app performance is more concerned with the machine itself. It identifies the pages that make an app crash, or device or which the app slows to crawl, when the mobile application crashed and when it was opened and the problem occurred.

App advertising analytics

This type of top analytics tool presents the bread and butter of advertising. It helps you analyze and attribute digital marketing campaigns to impressions, ad clicks, and subsequently to app installs in-app behaviors, and a mobile in-store or offline sales boost. Among other metrics to measure our return on advertising spend and effectiveness of ad impressions.

Mobile analytics is essential for planning, launching, and analyzing the results of a mobile advertising campaign, and analysis of mobile app performance. Also, it is no less important for an app business’s growth and prosperity. Information that each mobile app analytics tool provides can be described with a number of terms. Let’s define some of them.

Key Performance Indicator

KPI is a measurable value that reports on a mobile advertising campaign’s effectiveness or a mobile app’s performance.

User Churn Rate

This rate provides the ratio between the mobile app users that continue to use the app after a certain period of time. This short period is usually for one month. The average churn rate in 2019 was around 58% percent for one month and 73 percent for three months. So, more than a quarter of people use the same app after three months.

Session Length 

The time spent by a mobile app user with an app, before closing it or switching to another app, is called session length. According to Statista, in 2021 an average app session length for iOS was 5.5 and for Android was 6.6 mins.

Daily Active User

It measures the number of mobile users who open an app on a daily basis. This metric varies significantly between mobile games and various categories of apps.

Monthly Active User 

It measures the number of mobile users who open an app on a monthly basis.

Average Revenue Per User

This metric reports on how much revenue an app-generated per its user. Now, once we’ve defined basic terminology for mobile advertising and top app analytics, let’s see what are your options to choose an effective and reputable analytics company to work with. With so many tools to choose from, which should app marketers, mobile affiliates, or media buyers opt for? We want to help all parties involved in the mobile advertising and app marketing industries to navigate through this tricky and often confusing area. We’ve compiled a list of what we consider to be the best app analytics tools out there at the time of writing.

Now, when the most commonly used terms are defined, let’s dig into different kinds of analytics, starting with App marketing analytics.

App Marketing Analytics

App marketing analytics informs the app brands and developers how many times the app was installed and the marketing performance of the application in the market. This tells the information on how to handle the app in the market so it can be successful in the market. These analytics supply the app developers to make the necessary changes to be on top so there can be more app installs.

App marketing analytics benefits apps with all the market information. How is it performing? Whether the number of users is increasing or not? Spending on market analysis is increased from 5% to 22% for better results.

Many applications contain ad campaigns, but what advert will work and which doesn’t? Marketing analysis helps with the ad networks, and ad formats, which have the best return on investment. Just below we have the Marketing Analytics KPIs for a better understanding of it.

Marketing Analytics KPIs

a. Installs – The number of times the app was installed, but the path that leads people to install the app.

b. Opens – At what time is the app opened? Is there any particular time of the day when the app opening time is high?  Is it following a particular deep link, or do users of another app have a high percentage of switching over to yours?

c. Purchases – Is there any in-app purchase within your app?

d. Registration – If the app requires registration before using it. If yes, then why do people decide to register, and more importantly if users are dropping out because of registration?

e. Content Viewed – Self-explanatory, as it tells you what you should do more of.

f. Shares – On which platform and for what reason is a link to your app or its content, shared

g. Invites – Not only how many invites, but also who invites and who gets invited is also key to understanding its behavior and this is how app marketing analytics help.

h. Custom Events – These are matrices set by you, for instance, to find out when people have followed the “customer who bought this also liked” button.

App Performance Analytics

Top In-app analytics help companies retain their users with statistics of information to the developers. It tells the most important information like whether it works or not. From uptime (how long an app is kept open) to crashes, responsiveness, and resource usage. You need to know when your app works, slows down, or fails; and you need to know it for every single device and operating system your users access your app from. Does your app perform better on android phones or iOS phones?

App Performance KPIs

a. Carrier Latency

b. API Latency

c. Data Transactions

d. Uptime

e. Exceptions

f. Errors

g. Crashes

These are well & truly crucial to know if an app doesn’t work. This is how app performance analytics works.

What is App Advertising Analytics?

Top Mobile analytics is the heart of any successful mobile advertising company’s operations. Mobile analytics help with the ROI calculation possible. A mobile ad campaign either mobile web or mobile app-based, without robust mobile analytics in place, is just a waste of resources. This is what makes mobile analytics companies uniquely positioned to be essential across mobile platforms.

No wonder the global mobile analytics market is projected to reach 6 billion by 2024. The majority of countries that are looking forward to it are North America, with Europe and the Asia Pacific following with a significant gap.

App advertising analytics provides the data from advertising and marketing campaigns to help mobile marketers better target their ads and understand the effectiveness of their spending. So, marketers can understand what’s working in their favor and what’s not. There are many big players in the market like AppsFlyer and Kochava that are on the market for 6-8 years. These apps also help with marketing analytics, mobile app fraud detection, and many more such benefits which help the business to stand out in the market.

App Advertising KPIs

1. CTR– It is known as click-through rate, the ratio between the number of times the ad was displayed and clicked through.

2. CR – It is known as the conversion ratio, which can be defined as the ratio between the total number of people who interacted with an ad and took specific desired actions.

3. CPC – Cost per click is how much a single click on an ad inside an app costs.

4. eCPM – an effective cost of 1,000 ads displayed in an app.

5. CPI – A cost of a single app copy installed.

How to select Top App analytics or App advertising analytics platform?

There are a few things that you need to consider before selecting an analytics app. Let us go through the same once again.

Pricing plan

The pricing plan is one of the key things to look at when choosing the analytics app. You need to pay more if you have more metrics, data points, and advanced features. If your demand is not that high and you need fewer features you don’t need a pro version of the app. Some platforms are free, while others have a free bracket as long as you stick to very basic features.

Key Features

Some platforms offer a specific key feature on top of the basics such as A/B testing, push notifications, or a focus on metrics for games. While some features are universally provided by some platforms.

App Need 

You need to find what kind of analytics you need. If your app is going to be used within the enterprise, then performance analytics may be more important to you than your user experience. If your app is highly original and standard analytics won’t give you much insight, customizable metrics may be for you.

Size of SDK/implementation Difficulty

Most of the platforms come with a very easy implementation process, sometimes as little as a single line of code.

Other SDKs or implementations can be bigger and more complicated, potentially even slowing your app down or affecting its performance.

Keep these points in your mind before selecting the analytics app.

Top App Analytics and Advertising Analytics Platforms

Here we have listed the best and top analytics apps which are very powerful to use. The listed platforms are distinguished on the basis of which metric they use (new or old) and as well as if they cover the full range of data an app developer or a marketer might need.

1. App Annie

2. Appsflyer

3. Apptopia

4. Kumulos

5. Apptica

6. Trafficguard

7. UXCam

8. Smartlook

9. Localytics

10. MixPanel

11. Singular

12. TUNE

13. Kochava

14. Appfigures

15. Flurry Analytics

16. PrioriData

17. Countly

18. LeanPlum

19. Adjust

20. GameAnalytics

21. SWRVE

22. Tenjin

23. Amplitude

24. Branch

25. Urban Airship

26. Apptimize

27. Taplytics

28. Apptentive

29. Braze

30. Appdynamics

31. Heap Analytics

32. MoEngage

33. SensorTower

34. Aiden.ai

35. AppOnBoard

36. Appsumer

37. Apple Analytics

38. Google Analytics

39. Amazon Mobile Analytics

40. Mobbo

41. MightySignal

42. appScatter

43. 42matters

44. Mobile Action