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Top App Analytics Tools of 2020

Top App Analytics Tools of 2020



Tracking app performance is really important, as share the information like change, where maintenance 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 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 purchase and things related to it. This is the first step to monetize 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 revenues. 

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 on your users and provide you with the 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 crashes 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, subsequently to app installs, in-app behaviours, and a mobile in-store or offline sales boost. Among other metrics to measure our return on advertising spend and effectiveness of ad impressions.

As much as mobile analytics essential for planning, launching and analyzing results of a mobile advertising campaign, analysis of mobile app performance is no less important for an app business 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 effectiveness or a mobile app 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. Average churn rate in 2016 was around 37% per cent and only 20 percent for three months. So, only a quarter of people use the same app after three months.

Session Length 

A time spent by a mobile app user with an app, before closing it or switching to another app. According to Opera Mediaworks, in 2016 an average app session length was 5 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 was 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 though, which should app marketer, mobile affiliate or media buyer opt for? We want to help all parties involved in 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 like 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 ads campaigns, but what advert will work and which doesn’t. Marketing analysis helps with the ad networks, ad formats, which has the best return on investment. Just below we have the Marketing Analytics KPIs for a better understanding of it.

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 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 understand it’s behaviour 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 the companies to 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 in 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 an app performance analytics works. 

What is App Advertising Analytics?

Top Mobile analytics is the heart of any successful mobile advertising company operations. By 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.

App Advertising Analytics

No wonder that 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 Asia Pacific following with a significant gap.

App Advertising Analytics

App advertising analytics provides the data from advertising and marketing campaigns to help mobile marketers to better target their ads and understand the effectiveness of their spending. So, the marketers can understand what’s working in the favour and what’s not. There are many big players in the market like AppsFlyer and Kochava that are on the market 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 conversion ratio, and it 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 which 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 while 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 less features that you don’t need pro version in 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 of an insight, so customisable 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 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


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

1. App Annie –  App analytics and market data platform to help developers build a better app business. App Annie dashboard you can track apps downloads, revenue, uasage, user demographics and advertising campaigns, across over 50 metrices to improve mobile strategy.

a. Type: Marketing Analytics, In-app analytics

b. Pricing: Free or Custom

c. Platform supported: iOS, android, TvOS, macOS, Windows. 

2. AppsFlyer – It’s a one-stop-shop for marketing analytics with an active fraud and solution and has partnered with twitter and Google too. 

a. Type: App advertising analytics, Marketing analytics

b. Pricing: 30-day trip period with Basic plan, the Custom plan price is available upon request

c. Platforms: iOS, Android, Windows & Xbox, Amazon, tvOS, Unity, Cordova, Marmalade, Cocos2ds, Adobe Air, React Native

3. Apptopia – It is a mobile app market intelligence and competitor tracking service that maintains a database of app performance data from all major app stores. 

a. Type: Marketing analytics

b. Pricing: Base plan is free and $15 a month per tracked app

c. Platform: iOS and Android

4. Kumulos – It is a mobile app performance management company. With Kumulos you can choose unified mobile app performance management, mobile marketing automation platform, mobile app business growth tool. 

a. Type: In-app analytics, app performance analytics, Marketing analytics

b. Pricing: Actual prices are available upon request. 

c. Platform Supported: iOS, Android, Windows.


5. Apptica – is an app advertising analytics tool that provides the in-app advertising campaigns data. 

a. Type: App advertising analytics, marketing analytics

b. Pricing: NA

c. Platform: iOS, Android

6. Trafficguard – is a digital ad fraud protection tool for brands, networks and agencies. 

a. Type: App advertising analytics

b. Pricing: Protect plan from $460/month and pro plan from $2,292/month

c. Platforms: iOS, Android. 

7. UXcam – It is a mobile app analytics company. UX has a feature that allows the company to stand out from the rest of app analytics companies is heatmap technology to record app user sessions with apps and provide analytical analysis on their interaction.

a. Type: In-app analytics

b. Pricing: free trial period and then need to pay for pro features

c. Platforms supported: iOS, Android

8. Smartlook – Smartlook is an app performance analytics company that records mobile users interaction with a mobile app to define their reaction on multiple aspects of an app.

a. Type: In-app analytics

b. Pricing: 30 day trial period

c. Platforms: iOS, Android, React Native

9. Localytics – It is an application analytics software that allows app marketer to discover app users behavior, engage with them and optimize the app’s performance. Localytics also offers A/B testing and your own dedicated account manager as well as marketing automation. 

a. Type: In-app analytics

b. Pricing: Not available online.

c. Platforms supported: iOS, Android, Windows Mobile, HTML 5

10. Mixpanel – It is an advanced analytics platform with nearly 3000 clients. Has loads of analytical tools but unfortunately does not have a live demo. 

a. Type: In-app analytics

b. Pricing: Free (5 million data points), Basic (10 million + data points), Enterprise (Basic plan features & 5+ years dat history, premium support and more)

c. Platforms supported: iOS, Android

11. Singular- Singular is an end to end marketing platform analytics platform designed to maximize ROI with what it calls 1600+ preconfigured marketing solutions. 

a. Type: Marketing analytics, App advertising analytics

b. Pricing: N/A

c. Platforms supported: Android, iOS, Web

12. Tune – Marketing focused analytics platform, also includes app-store analytics in it’s console and has a free trial period available. Tune also offers supply-side tools for ad networks, real time tracking and 3rd party ad management. 

a. Type: Marketing analytics.

b. Pricing: 30-day free trial period, custom thereafter.

c. Platforms Supported: iOS, Android, Windows, Web

13. Kochava – It provides users with a combination of both analytics and attribution features as well as, a server to server API and IdentiLink technology. 

a. Type: App advertising analytics

b. Pricing: 15 day trial period

c. Platforms supported: iOS, Apple Watch OS, Android

14. Appfigures – It is a marketing analytics company that provides three tools for app marketers. It provides three features like analytics, explorer, and appbase. 

a. Type: Marketing analytics

b. Pricing: 14 day trial plan – free, All-Access plan is $9/mo, Enterprise plan is $300/mo.

c. Platforms supported: iOS, Android

15. Flurry – It is part of the Yahoo Developer network, it provides mobile app analytical platform for iOS. android, tvOS and wachS app developers. 

a. Type: In-app analytics

b. Pricing: Free

c. Demo: NA

16. Priori Data – It is an app analytics company that provides app developers with a suite of tools for the app stores analytics and intelligence. 

a. Type: Marketing analytics, In-app analytics

b. Pricing: Basic plan ($250 / month), Pro ($750 / month), Enterprise (quote is available upon request) plans

c. Platforms Supported: iOS, Android

17. Countly – It covers everything from push notifications to user profiles, attribution to segmentation with real time analytics of upto 10 million unique identities,

a. Type: In-app analytics, Marketing analytics

b. Pricing: Enterprise edition, Free Community Edition plans

c. Platforms supported: iOS, Android, BlackBerry, Windows Phone, Apple Watch, Mac OS X, Unity3D and Flash

18. LeanPlum – It is a mobile engagement platform that includes app analytics, mobile marketing automation tools, solution for mobile user retention, personalization and more.

a. Type: In-app analytics, App Marketing analytics

b. Pricing: Customized Enterprise Plan pricing is available upon request

c. Platforms supported:  Android, iOS

19. Adjust – It is an attribution and analytics software package for mobile applications. It help mobile marketers to examine store statistics, advertising sources and advanced analytics to fully monetize their application. 

a. Type: In-app analytics

b. Pricing: Free demo

c. Platforms supported: Android, BlackBerry, HTML5, iOS, Windows Phone

20. GameAnalytics – It is a game focused and free analytics tool tracking stats like game progression and level advancement. 

a. Type: In-app analytics.

b. Pricing: free

c. Platforms supported: Unity for iOS, Android, Flash, Windows, Web GL

These are the few app analytics apps that can help your business and application. By taking help from these applications you can get the full picture of how well your app performance on the app market.

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