When we develop an app and get it out there for users to explore its amazing functionalities and services, we want to understand how well our app is truly performing and if it is attracting the right users.
App analytics tools are essential in providing key metrics, allowing us to understand what areas of our app need improvement to further enhance user acquisition. It is no surprise then that app marketers are increasingly investing in data analytics, as they also indicate how effective your mobile ad campaigns truly are.
Top App Analytics Tools
Find out in this guide how useful app analytics platforms are, which metrics to prioritize when using them and what the best mobile app analytics tools are to take your app to new heights.
What are App Analytics?
App analytics are a common concept in the mobile app world in which app marketers collect valuable data, such as the number of installs and visitors, session lengths, retention and conversion rates and other key metrics that represent user behaviour and app performance.
While the practice captures activity on the mobile web, app analytics mainly focus on data analytics for the iOS and Android platforms, where there are a range of metrics available to examine to determine what to change, where maintenance is required and what is actually working for your app.
The goal with utilizing mobile analytics platforms is to transform data into valuable information that provides insight into your product. This should allow you to better understand your user journey and spot common issues that customers may experience when using your app.
Top App Analytics Companies
Why should I use mobile app analytics?
Once you launch your app, you want to know how your users are engaging with the app’s services, and what features they are finding useful as well as the issues they may be running into.
Reading reviews and ratings as a way to understand your app’s success is one way to do it. But there is even more valuable data you can benefit from when having access to it.
User behaviour and customer satisfaction are critical components to any business, as the more users and customers you acquire the higher your conversion and retention rates become – more business from more customers, right?
So it is important to know which areas of your app need to be further optimized for growth, performance and customer satisfaction. Using app analytics tools, you can accurately measure and analyze traffic, and identify your best options to spend your resources wisely, pushing your app further in the highly competitive market.
Implementing mobile analytic tools will also help you answer key questions about your app, illuminating the efficiency of the functionalities of your product with the valuable data.
Mobile analytics platforms will therefore assist you with increasing your ROI, providing detailed insight into your app users. By answering the questions above, you can take your previous successes and failures as well as features and channels that are and aren’t working as a guide to create an even better strategy.
Now that you understand the importance of utilizing analytics tools for your app, let’s take a look at the different types of platforms and how they can be significant to your company’s growth.
Types of App Analytics tools
App Analytics tools can be divided into multiple micro categories, such as app marketing analytics, in-app analytics and app performance analytics.
Here is a brief description of each category in order for you to understand which type may work in favor of the success of your app.
In-app analytics describes everything a user does within an application. Implementing mobile analytics tools for this category provides you with data on how users behave and interact within your app.
In-app analytics tools let you in on key metrics, such as device information, user demographics and user behavior.
When looking for device information, this tool can tell you what kind of device users are navigating through your app, and how the device influences performance: for example, does the model or OS version have any effect on their behavior? Or, on a particular device, is the ‘install’ button hidden behind another one?
Within user demographics, you can obtain data on language, gender, location and if your users are new or returning ones.
User behavior is the crucial one to consider, as it shows how users behave within your app, and how their interactions lead (or don’t) to higher installs and conversions.
There is infinite data to track here, including where people click on an app, which feature is most used, how long they spend on a page and which pages lead to higher conversions and why. But they are all crucial data that needs analyzing.
To sum up, the main metrics that are tracked using in-app analytics tools are the following:
In-App analytics KPIs
- Device type: manufacturer & operating system
- In-app behavior: clicks, levels completed, features used
- Location, gender, age and language of users
- Whether user is new or returning
- Number of installs & downloads
- Session duration
- Conversion rates & revenue
These insights can indicate what needs to be improved, which could be content, product or app design. Nonetheless, they help you understand who exactly your users are through relevant data, such as attributes and personas that will inform the post-publishing development and further enhance UX for maximum ROI.
Top App Analytics Companies
- Recurly - The subscription management platform trusted by leading brands to grow recurring revenue on web and mobile.
- FoxData - Full-cycle construction from app research, development, and release to operation
- data.ai (formerly App Annie) - Understand, benchmark, and optimize mobile and digital performance with data.ai.
- mFilterIt - Eliminate invalid traffic from your app campaigns running on biddable and non-biddable platforms for both performance and brand campaigns
- Smartlink - Get access to thousands of exclusive offers with one link!
- App Guardians - A Mobile-First Advertising Agency
- OneSignal - Maximize Engagement. Minimize Churn.
- SocialPeta - #1 Ad Intelligence Platform
- ConsultMyApp - Truly effective mobile marketing
- oolo AI - The alerts you need, The control you deserve
- Pecan AI - The #1 Predictive Analytics software for Data Analysts
- Braavo - Grow your app business with confidence
App performance analytics
While this category is technically still within the in-app realm, it is less concerned with the users and more focused on the ‘machine’ itself. So it is the groundwork upon which all of your other app analytics types rest.
App performance analytics are the backbone of optimizing your app – without this set of data, it will be next to impossible to retain users, because if an app doesn’t work or crashes every few minutes, as a user you wouldn’t find it that appealing, would you?
Generally speaking, performance analytics tools conduct audits, identifying any errors that may occur while the app is running. From uptime (how long an app tab is kept open) to crashes, responsiveness and resource usage, you can understand when your app works, slows down or fails on various devices.
If your mobile app crashes whenever it is opened on an iPhone Xs, but not on any other model, you definitely want to know about it before all of your app marketing efforts go to waste.
Here are some KPIs that you want to prioritize when utilizing this tool:
App Performance KPIs
- Carrier latency
- API latency
- Technical errors
- Data transactions
App advertising analytics
On top of generic app analytics that cover the technical and users’ performance of your app, you get analytics tools that cover the app’s performance on marketing channels.
This tool should be the heart of any successful app advertising campaign, and what makes ROI calculation possible. According to Statista Digital Market Outlook, in 2017, the total global digital advertising revenue was $228 billion and is set to reach $332 by 2021.
Planning and executing advertising campaigns based on hard data always makes sense, but when it’s about spending several hundred billion dollars a year it is simply a must-do.
Just so that you are completely aware of the amount of revenue marketers gain with digital advertising alone, let’s take a look at some insightful facts recorded throughout the years:
Digital advertising revenue worldwide, 2015-2021, in billions
It is no surprise that the global mobile analytics market is projected to reach $6 billion by 2024. And if we look at the distribution of mobile analytics companies worldwide, the majority of them are concentrated in North America, followed by Europe and Asia Pacific with a significant gap.
According to Research Nester data, by 2024, the market share is predicted to look something like this:
Global Mobile Analytics Market Share by 2024, by region
Source: Research Nester
This analytics tool should be your bread and butter when implementing ad campaigns. It helps you analyze and attribute digital marketing campaigns to ad clicks and, subsequently, to app installs, in-app behaviors, giving you an instant mobile in-store or offline sales boost.
Among other metrics, app advertising analytics tools allow you to measure returns on advertising spend as well as the effectiveness of ad impressions. This way, you can better target your ads and understand the effectiveness of your spending.
So for each traffic source, marketers can understand what is working and what is not, and optimize their campaigns accordingly.
To get a better grasp on what app advertising analytics companies can do for your advertising needs, here are crucial metrics and their definitions you should pay attention to when using this tool:
App Advertising KPIs
- CTR (click through ratio): the ratio between the number of instances when an ad was displayed and clicked through
- CR (conversion ratio): the ratio between the total number of people who interacted with your ad and took actions (e.g. install, purchase, etc.)
- CPC (cost-per-click): how much a single click on an ad within an app costs
- eCPM (effective cost-per-mile): the effective cost of 1,000 ads displayed in your app
- CPI (cost-per-install): the cost of when each user installs an app
App marketing analytics (a.k.a. app store analytics)
Last but not least, we have the infamous analysis of how your app is marketed within the app stores, including where and how it is found across various platforms.
Did you know, on a global scale, app downloads are decreasing? And in 2015, there were around 1,000 apps uploaded to the Apple App Store every day.
So how do you stand out from the crowd? The answer is, through top level app store advertising and marketing.
CMOS stated in their 2016 survey:
“Spending on marketing analytics … is expected to leap from 4.6 percent to almost 22 percent of marketing budgets in the next three years.”
Ad campaigns can include all sorts of aspects, from adverts to offers and cross-promotion. But to understand what works and what doesn’t, you will definitely need to take advantage of marketing analytics.
App Store analytics supply brands and developers with analytical data on their mobile app marketing performance. It reports on how changes of your target keywords, meta data and other integral parts of your app marketing campaign influence your visibility and performance in the app store .
Moreover, it reveals data of how users locate your app: do they find your app while browsing the App Store or on other websites?
App marketing analytics provides you a great overview of the number of downloads as well as in-app purchases, indicating how well your app is optimized in app stores (App Store Optimization).
With this type of analytics you can also monitor and analyze KPIs of your mobile app marketing campaigns, and keep tabs on your competitors’ performances, including their app installs, rankings and revenue across multiple app stores.
Here are the core KPIs when using marketing analytics:
Marketing Analytics KPIs
- Installs: not only how many times your app is installed, but the path that leads people to installing an app
- Views: when is your app viewed? Is it following a particular deep link, or did users of another app switch over to yours?
- Purchases: when people purchase something within your app (or when do they purchase the app itself)
- Registration: if the app requires a registration, understand why people decided to register
Content viewed: which pages are viewed specifically
- Shares: on which platform and why a link to your app or its content is shared?
- Invites: not only how many invites, but also who invites and who gets invited (insight into demographics)
- Custom events: this metric is set by you, for example, to find out when people have followed the ‘customers who bought this also liked’ link
How do I use analytics for apps?
Finding an app analytics platform that suits your business is essential, but it is also important to be able to make sense of the data that these tools generate for you.
A better understanding of data analysis will allow you to test your app’s performance and functionality to then know if your app can be an effective problem-solving tool for your users – and if not, what needs to be improved.
But what does one do with the endless metrics and data presented to us? And how does one link the results from our app analytics tools to actual improvement points for the further development of our apps?
We will briefly discuss the best ways to analyze mobile app analytics data.
But first, let’s look at some crucial metrics and KPIs you should be tracking when using mobile app analytics, to make the most of the tool:
This metric describes the percentage of users that still use your app, while also giving you the number of customers you are losing.
Retention rate is as important as your user acquisition rate. As much as attracting new users should be an integral part of your app marketing strategy, you want to hold on to those loyal users that are at the core of your app’s success, avoiding your churn reaching higher rates.
User churn & uninstall rates
User churn provides a ratio between the number of loyal app users, after a certain period of time, usually a month, and users who have stopped using your services.
According to Localytics data, in 2016, aggregated across multiple app categories, the average churn rate was 36% for one month and only 20% over the course of three months.
Tracking the number of people who uninstall your app is also vital to understanding why they decided to uninstall your app, and at what point.
Average revenue per user (ARPU)
ARPU reports on how much revenue your app generated per user, which is an extremely important metric, as it tells you how much money you are making from each user within a specific timeframe.
This metric is calculated by dividing the total revenue of your business within a selected period by the average number of users within the same set time frame.
Return on investment (ROI)
The ROI rate represents what you have spent against how much you have actually earned, evaluating the efficiency and profitability of your investments and efforts.
This measure is the difference of the benefit of your spending, divided by the actual sum of your investment.
User growth rate
This figure represents the number of new users acquired within a specific period, which is another metric you want to look out for to measure the success rate of your app.
A session is the time actively spent by a user on your app before closing it or switching to another app. The metric also describes the length and frequency at which a user interacts with your app, providing insights into trends of your services.
According to Opera Mediaworks, in 2016, the average app session length was five minutes.
Daily & monthly active user
You may also want to focus on the daily and monthly active user rates, as they measure the number of users that open and engage with your app on a daily or monthly basis.
It is a metric that also measures growth, churn and an active user’s depth of engagement level.
In the app world, a prime measure of an active user would be them making an account in your app, just how making a money transfer would be a sign of engagement on an online banking app.
So it is as important as knowing how often a user accesses your app.
Now that you know the key metrics you want to prioritize when analysing your app data, let’s dissect the best methods on how to use mobile app analytics tools:
Map out your user’s journey
A user’s journey describes how a user cycles from discovering, installing or purchasing, to using the services of your app. Defining the steps of this journey is crucial to getting a better insight into your user’s behaviors and how they typically interact with your app and its features.
Once you have mapped out the user funnel, along with the data gathered with analytics tools, you can easily spot where your users churn, what peaks their interest as well as their preferred features.
This analysis allows you to efficiently optimize your user journey, which will enhance your users’ experience, generating more revenue and driving those conversion rates.
Track only relevant metrics
Now that you have determined your generic user journey and know your business’ objectives, you will know the exact metrics that are critical to the improvement of your app.
As we have listed countless of valuable KPIs and metrics above within the different types of analytics tools, it is useful to select the measurements that will add the most value to your unique performance optimization.
You want to focus on the metrics that matter, without wasting too much time and money on data that are not part of the usual functions of your app. These metrics are less likely to add value to your optimizations and enhancements.
Ask yourself questions that are tailored to your individual app requirements. These questions should outline if certain efforts are being made and accomplished towards your company goals.
Ensure that you are picking up on the data provided by the mobile analytics tools that specifically answer those key questions.
Ace the initial user experience
You know your app will be the ultimate game changer to anyone who uses it. But how will users know its potential?
Your marketing efforts have done a fantastic job in attracting users and impressing them well enough to hit the ‘Get’ button. But the challenge and true magic lies within introducing your new customers to the valuable services that your app ad promised, in the best way possible.
As it is said, first impressions are everything. So the initial experience in the onboarding or signing up stage is the determining factor of whether or not your users will continue using your app.
For example, improve the onboarding experience by simplifying its process, making the first actions as simple as clicking one button to activate their account. Refer to the personas of your target users and tailor the sign-up stage based on those.
Once you have enhanced this crucial part of your user journey, analyze the activation metrics that inform about the rate (and speed) at which your acquired users turn into active users by an activation event.
Onboarding metrics typically include:
- Install to Registration
- Download to Launch
- Cost per Registration rates
Make sure to track these KPIs and understand if users can easily go to the next level of your app from the onboarding step.
Take advantage of A/B testing
After you have gathered all of the data from your analytics, A/B analytics is definitely a tool you want to take advantage of to guarantee positive responses to any enhancements you make based on your KPIs.
A/B testing works by dividing your customers into two or more groups, and testing how a new feature, which may involve changes to the design or experience, impacts user behavior. This way, you will be able to identify which option works best for users and what function is more preferred, before you make the permanent change.
When testing the new feature on a control group within your app, make sure not to disrupt the flow of the app that may put off your customers. See that you make the transition as smooth as possible.
Mobile analytics for new ideas
App analytics tools don’t only have to give you ideas on how to change your app, but also to inspire you to take your product to new levels.
Analyzing key metrics may illuminate entirely new opportunities, motivating you to find new initiatives to grow your app further.
You may find some pages are driving less traffic than others, or that some services are being used more. You can expand the stronger functions and give your customers more of what they want.
How much do app analytics tools cost?
App analytics costs and their pricing plans are one of the key things app owners look at, as mobile analytics platforms tend to have different tiers, offering a wider range of metrics, data points and features the more you pay.
If your app is unlikely to generate larger amounts of data, or only requires to track a few key metrics, then perhaps you don’t need to opt for the ‘full features list’ tier.
Some platforms are even free of charge, while other app analytics tools offer a free package – but only as long as you stick to the very basic features, which may leave you rather constrained in your limitations and abilities to grow your app further.
Costs will differ from platform to platform, but just remember that investing in efficient app analytics tools will play an integral part in your app business and its success.
How do I choose the best mobile analytics tools?
The real difficulty and challenge of taking advantage of app analytics tools is understanding how to make sense of all the data and what to do with it.
The main reason app marketers don’t prioritize the use of app analytics and its complex categories is not knowing the true, valuable purpose and advantages of them.
But at this point in the guide, you must be an expert in knowing your way around mobile analytics platforms. So let’s delve deeper into how exactly to select the best app analytics platform for your unique app, and what factors to base your decision on.
What key features do the platforms offer?
Apart from looking at the pricing plans of each app analytics platform, you also want to find out what key features they provide, on top of the basics, such as A/B testing, push notifications and tracking fundamental KPIs.
The mobile analytics platform’s unique selling point, including any specialized services they provide, are crucial to understanding how they stand out from the rest.
What does your app need?
You want to find a platform that works best for your individual app.
For example, if your app is going to be used within your enterprise only by a few people, performance analytics may be more important to you than user experience.
In another instance, if your app is highly original and standard analytics wouldn’t be able to give you adequate insight, tools that offer customizable metrics may be the better option for you.
What level of support does the app analytics platform offer?
You want an app analytics platform that offers the right support when and where you need it. So pay attention to the kind of level of support they provide.
How much documentation does the platform offer? Do they have a 24/7 hotline or account managers to help you when things go wrong?
The tools you choose to analyze your app data with should not let you down, as this can impact your app performance when you lose track of key metrics and their history.
Make sure your choice factors in good support from knowledgeable experts.
What kinds of SDKs do they offer?
Most of the mobile analytics platforms offer software development kits (SDKs), with a very easy implementation process – sometimes as simple as a single line of code.
Other SDKs can be much more complex and complicated, potentially even slowing down your app functions and loading speed, hence affecting its performance.
You therefore want to ensure that the analytics tools you choose for your product are fully compatible with your app and easy to use.
Top app analytics tools & platforms
We hope we have made it easier for you to choose from our carefully selected list of top app analytics platforms, with more in-depth know-how and a better expertise in the tools and typical mobile analytics processes.
With your new, improved understanding of the world of app analytics, choose the best mobile analytics platform that offers powerful and efficient tools, including specific metric tracking and simplified SDKs, and covering a range of data that works best for your unique app.
List of top mobile app analytics platforms
The subscription management platform trusted by leading brands to grow recurring revenue on web and mobile.
Recurly is the subscription and billing platform trusted by leading brands to grow their recurring revenue faster, smarter, and stronger. To keep a good thing growing, companies need an easy-to-use platform that lets them adapt quickly, data-driven insights to capture and keep more business, and an experienced partner to help them manage subscriptions at scale.
Tagline: Keep a good thing growing.
Features: subscription billing, recurring billing, SaaS billing, cloud billing, recurring payments, business intelligence, and business analyticsLearn more about Recurly
Understand, benchmark, and optimize mobile and digital performance with data.ai.
App Annie is now data.ai! But what (or who) is data.ai? Is it worth paying for the premium service? What kind of competitive edge does it provide over competitors? That’s what this guide is for. It’s divided into the following sections: Company overview Key facts Products Pricing Why data.Learn more about data.ai (formerly App Annie)
Full-cycle construction from app research, development, and release to operation
|2014||101 - 200|
From websites to apps, you can find almost all the services you need at FoxData.com! The FoxData team is devoted to understanding your current position and where you desire to reach. Transparent about our capabilities and expertise, allowing us to build a map unique to your desired destination.Learn more about FoxData
SocialPeta Technology, the world’s leading advertisement creative spy and analysis platform, dedicated to offer top ads creative and marketing strategy for both advertisers and publishers. Serving as an Essential Ad and Marketing Intelligence Platform, SocialPeta focuses on:
- Ad Intelligence, Marketing Intelligence, APP Intelligence
- Ad Cost intelligence, Game Intelligence, Audience Intelligence
Smartlink by Clickdealer is a perfect solution for publishes who are looking for the following options while running traffic: All the automation needed to guide each click to an appropriate offer.Learn more about Smartlink
|2014||101 - 200|
OneSignal helps mobile-first companies increase engagement and decrease customer churn through personalized customer messages and journeys without requiring extensive engineering work. The omnichannel messaging platform supports over a million companies in sending 12 billion messages daily across mobile push, web push, email, SMS, and in-app messaging.Learn more about OneSignal
App Growth Network is a global app marketing agency with three major area of focus – App Product Marketing, App Growth Marketing (UA) and Analytics.
- Type: Marketing analytics, In-app analytics
- Platforms supported: iOS, Android.
- Offices: Vancouver, Canada
- Services: App Marketing, App Store Optimization (ASO), Analytics & Engagement, Paid User Acquisition, Prelaunch and Launch planning & execution.
- Tagline: Analyze, Optimize, Grow
Learn more about App Guardians
ConsultMyApp is a London based mobile marketing consultancy agency that provides brands and app developers with App Store Optimization, Customer Relationship Management and User Acquisition services. Since 2016 its team worked with such brands as The Telegraph, BBC, SEGA and more. The agency small independent team pays equal attention to both mobile app user acquisition and their retention and monetization.
- Services: User Acquisition, App Store Optimization, Apple Search Ads, PPC, Mobile Messaging.
- Offices: London, UK
- Tagline: Mobile Marketing Consultancy
Learn more about ConsultMyApp
oolo is an AI-powered solution that proactively monitoring ad performance, oolo automatically detects and translates data anomalies into actionable, easy-to-understand business imperatives. Combining machine learning, industry-specific data relationship mapping, and codified operational know-how, oolo helps marketing and monetization teams get the most out of their time, data, campaigns, and inventory.Learn more about oolo AI
|2018||51 - 100|
Pecan’s automated predictive analytics platform empowers marketing teams to optimize user acquisition by predicting campaign outcomes at a highly granular user level, even in today’s fast-changing data environment.Learn more about Pecan AI
Recognized as an elite influencer agency, at HireInfluence we develop intent-driven influencer marketing campaigns that merge the needs of brands, audiences, and influencers. We hand-select influencers for each and every campaign to ensure an organic fit and authentic feeling content.
As a full-service influencer marketing agency we source and cast right-fit talent, develop creative content strategies, execute comprehensive, interactive, cross-channel influencer campaigns, and report back on campaign analytics.
- Services: Marketing campaign strategy, Influencer relationships management, Campaign reporting
- Offices: Houston, LA, New York, USA.
- Tagline: Connecting Brands and Audiences Through Influence
Taplytics is a mobile A/B testing, Push Notification and app analytics platform. Its BigQuery gives access to raw data (experiments, events, or push notifications) to setup custom metrics and it offers Mixpanel and Google Analytics integration. Taplytics capacity to provide analytics for apps, written for TV based operating systems, sets it apart from other analytics platforms.
- Type: In-app analytics.
- Pricing: a free plan (to track up to 25k MAU), the Enterprise plan pricing is upon request
- Platforms supported: iOS, Android, tvOS, Android TV, Amazon TV, Roku TV
- Demo: get in touch
- User guide: available
Learn more about Taplytics
Mixpanel is an advanced analytics platform with nearly 3000 clients including miniclip, AirBnB, WordPress and Match.com, and installed in under 10 minutes. Has loads of analytical tools (funnel analysis, cohort analysis, marketing automation to name a few).
- Type: In-app analytics
- Pricing: Free (5 million data points), Basic (10 million + data points), Enterprise (Basic plan features & 5+ years dat history, premium support and more)
- Platforms supported: iOS, Android
Learn more about Mixpanel
Localytics – is an application analytics software that allows app marketer to discover app users behavior, engage with them and optimize the app’s performance. With Localytics users can scale to track up to 100 thousand monthly active users and 12 million datapoints, Localytics keeps track of granular analytics, user flows and funnels. Localytics also offers A/B testing and your own dedicated account manager as well as marketing automation.
- Type: In-app analytics
- Pricing: Up to 10k users – free, Up to 25k users – $200/mo, Up to 50k users – $350/mo, Up to 100k users – $600/mo
- Platforms supported: iOS, Android
Learn more about Localytics