Best Mobile App Analytics Tools
Mobile app analytics tools enables companies to track activity related to in-app sessions and user behavior. These products help measure mobile app opens and downloads, as well as locate user exit points, track the amount of time spent in an app, and construct funnels to track user activity. This software can report on this data in a variety of ways, such as real-time usage, trends over time, location segmentation, and device or operating system attributes. Data can be used by marketing teams to understand regional popularity or demographic analysis. Sales and other departments can also utilize data provided through mobile app analytics products.
While some mobile app analytics products solely address app analytics, others can be used for both app and digital analytics. Mobile app analytics are also popular with mobile game developers, specifically for those looking for a Unity analytics solution.
To qualify for inclusion in the Mobile App Analytics category, a product must:
- Provide data regarding an app’s user behavior
- Provide information about demographics or regional use
- Display trends or market behaviors
- Analyze customer satisfaction and usage
- Produce reports outlining multiple factors analyzed
Best Mobile App Analytics Tools At A Glance
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- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Improve the customer experience with digital analytics for your website or mobile app — for free. Google Analytics gives companies rich insights about their websites, their audiences and their digit
- Owner
- Marketing Manager
- Marketing and Advertising
- Information Technology and Services
- 60% Small-Business
- 29% Mid-Market
32,705,077 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
AppsFlyer helps brands make good choices for their business and their customers with its advanced measurement, data analytics, deep linking, engagement, fraud protection, data clean room and privacy p
- Marketing Manager
- Growth Marketing Manager
- Marketing and Advertising
- Financial Services
- 43% Mid-Market
- 29% Enterprise
12,488 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Amplitude is a digital analytics platform designed to assist users in understanding and personalizing their digital products while optimizing the business value derived from product innovation. It ser
- Product Manager
- Software Engineer
- Computer Software
- Information Technology and Services
- 47% Mid-Market
- 32% Small-Business
20,843 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
CleverTap is the all-in-one engagement platform that helps brands unlock limitless customer lifetime value by helping them create personalized experiences to retain their most valuable customers. The
- Product Manager
- Marketing Manager
- Financial Services
- Information Technology and Services
- 53% Mid-Market
- 29% Small-Business
21,945 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Glassbox is a type of customer intelligence solution designed to help enterprises understand and enhance their online customer engagement. By leveraging artificial intelligence, Glassbox captures and
- Digital Analyst
- Product Owner
- Financial Services
- Insurance
- 78% Enterprise
- 17% Mid-Market
1,865 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
AppMetrica is an affordable and reliable (yes, it is possible) all-in-one mobile app analytics tool that provides a comprehensive analysis of your mobile app user behavior, in-app revenue, mobile acqu
- Computer Games
- Information Technology and Services
- 60% Small-Business
- 33% Mid-Market
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Singular is the only end-to-end marketing attribution and analytics platform that uncovers true ROI across all marketing channels. We transform complex marketing data into actionable insights by unify
- User Acquisition Manager
- Data Analyst
- Computer Games
- Marketing and Advertising
- 53% Mid-Market
- 26% Small-Business
1,259 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Branch provides reliable deep linking and attribution for every paid, owned, and earned marketing channel. Trusted to maximize the value of their evolving digital strategies, world-class brands like I
- Product Manager
- CEO
- Financial Services
- Marketing and Advertising
- 43% Small-Business
- 33% Mid-Market
9,564 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Adapty helps mobile developers analyze and grow in-app subscriptions, integrate in-app purchases within a few hours, and run monetization experiments faster and cheaper. - Test prices of in-app purch
- Co-Founder
- CEO
- Computer Software
- Health, Wellness and Fitness
- 91% Small-Business
- 8% Mid-Market
3,015 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Pendo helps you deliver better software experiences for happier and more productive users and employees. Pendo helps product teams ask and answer questions like: What features are customers or employe
- Product Manager
- Customer Success Manager
- Computer Software
- Information Technology and Services
- 62% Mid-Market
- 19% Enterprise
20,213 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
MoEngage is a cross-channel customer engagement platform built for marketers and product owners who value agility over cumbersome complexity. We help consumer brands adapt quickly to evolving customer
- Digital Marketing Manager
- Product Manager
- Financial Services
- Online Media
- 55% Mid-Market
- 24% Small-Business
2,507 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
With over 25+ years of experience and a global presence across Asia, Europe, and the USA, Netcore Cloud is an AI-powered platform designed to transform customer experience and personalization in the w
- Digital Marketing Manager
- Marketing Manager
- Financial Services
- Insurance
- 48% Mid-Market
- 35% Enterprise
1,844 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Google Analytics 360 was built with large organizations in mind, with data that’s accurate, integrated, actionable, and fully supported by our expert account management and training teams. The Premium
- Owner
- Manager
- Marketing and Advertising
- Information Technology and Services
- 51% Small-Business
- 32% Mid-Market
32,705,077 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Gain a competitive edge with Similarweb App Intelligence, your trusted source for comprehensive data on app performance, user behavior, and market trends. Uncover opportunities, refine strategies,
- Computer Software
- Marketing and Advertising
- 56% Small-Business
- 33% Mid-Market
48,105 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Fullstory is a behavioral data and analytics platform that helps technology leaders and digital experience teams understand their digital story so they can make every interaction more human. Customer-
- Product Manager
- Software Engineer
- Computer Software
- Information Technology and Services
- 51% Mid-Market
- 30% Small-Business
4,891 Twitter followers
Learn More About Mobile App Analytics Tools
What is Mobile App Analytics Software?
The increased presence and influence of mobile devices has driven the necessity for mobile applications—and by extension, mobile app analytics software. Whether designed for e-commerce, gaming, finance, productivity, loyalty programs, or otherwise, there seems to be an application for almost anything one can imagine. Because of this lasting trend towards mobility, businesses are pushing hard to get their service or product out onto the mobile landscape.
There is a need to understand how users interact with the applications one has built for their business. An app is only valuable if people are actually using it with any sense of regularity, and the ability to interact with the app easily or conveniently can play a huge role in whether the app succeeds. Mobile app analytics solutions allow companies to examine how users interact with their apps, providing all kinds of data including the type of device users are accessing from, how long they spend on pages in the app, how frequently a user opens the app, and more. The result is a data-driven picture of an app’s performance and how it fits into the marketplace.
Using mobile app analytics software gives companies real-time data that informs continued product development. Depending on the tool used, teams can gain insight into unforeseen issues with new software updates, track usage patterns by demographics such as age and location, and more. Leveraging this data, development teams can constantly maintain and update their app’s interface to encourage the most desirable user journeys through their apps. If sudden, irregular patterns emerge, such as a sharp decline in traffic that might indicate downtime, mobile app analytics software can automatically alert teams via notifications to ensure a rapid response.
Overall, mobile app analytics software gives teams an invaluable set of monitoring tools, data-gathering functions, and dashboards which allows them to manage their released applications in a way that reflects and responds to real user experiences.Â
What are the Common Features of Mobile App Analytics Software?
The following are some core features within mobile app analytics software:
OS-based tracking: Mobile app analytics tools need to be able to evaluate app performance based on the mobile operating system (OS) the app is running on. iOS and Android are the biggest players in mobile OS, but they are not the only platforms that mobile apps can run on. Some mobile app analytics solutions will also track the device type running an OS, accounting for other niche or proprietary systems and the respective OS version, for trending and further data analysis.
Session analytics: The most basic mobile app analytics tool feature, session analytics, informs teams on the basics of how a user’s time is spent in an app. How long the app was used, wherein the app users went, and the kinds of activities they performed with the app are all valuable pieces of information that every company will want to know about their user audience.
Regional analytics: Understanding where, geographically, users are accessing an application can give companies unique insights into their user base. This type of data can enable more effective targeted advertising, and it can generate particularly interesting insights and trends when combined with other usage data like carrier, device, and time spent using the app.
Date filtering: Understanding usage data in the context of timeframes can lead to beneficial insights for one’s business. Aside from the more obvious analysis of app intelligence—for example, understanding how bug fixes affect rates of usership—businesses can garner more subtle insights, such as how usership changes after implementing subtle user interface updates or backend performance overhauls.
Audience analytics: Is the application free, or does it require a one-time purchase? Does the application have paid features? Understanding how free and paid audience members interact with an app can give teams better insight into how the price of their application affects the way users interact with the app in their day to day.
Market trends: It is as important to understand how a company’s apps compare to other apps on the market as it is to understand the users’ in-app activity. For an application to compete, the business needs to understand exactly what it is competing against. Mobile app analytics tools should provide market intelligence so that a business can always understand how its apps are performing in context with the market as a whole.
Reporting: As with any analytics tool, reporting is a powerful way of consolidating key information into an easily digestible format. Mobile app analytics tools should be able to turn out reports regarding any data factor it tracks, allowing companies to get summaries of any possible data they might find to be important.
Data visualization: This works similarly to the reporting functionality of other analytics tools. Data visualization—the process of turning raw data into charts, graphs, and other forms of visual representations—is a perfect at-a-glance representation of an app’s users, functions, and success. Data visualizations can be highly valuable for revealing trends in data that might otherwise be lost under the sheer volume that is captured by a mobile app analytics tool.
Code performance analysis: Occurrences that negatively affect the user experience might originate from the application’s code. Some mobile app analytics tools will track performance down to the code level, which can reveal any code segments that are performing suboptimally.
Network filtering: Understanding users’ networks can help lead to a better overall user experience. WiFi and carrier networks each have their connection strengths and consistencies, and some mobile app analytics tools will allow the filtering of performance data based on the method of network connection or other distinguishing network-adjacent traits like carrier name or region.
Other Features of Mobile App Analytics Tools: Heat maps, Session replay
What are the Benefits of Mobile App Analytics Software?
Usage insights: What pages get the most traffic? What about the least? How often do users buy after putting an item in the app’s cart? What page do users bounce (leave the app) from the most? How much time do users spend in the app? These questions and more can all be answered with mobile app analytics solutions. Mobile app analytics tools focus on allowing businesses to leverage usage data into data-driven insights, helping them make better decisions about the app’s future direction and build.
Carrier and device insights: The impact that certain carriers, devices, and operating systems can have on an app’s functionality and overall success tends to be overlooked. Mobile app analytics tools can offer insights into these factors. Such insights can help expose potential incompatibilities an app might have with the targeted user demographic. Armed with that information, developers can update the app to better fit its users’ preferences.
Performance insights: While mobile app analytics software might not provide log outputs comparable to those of software testing tools, companies can discern other functional issues from their data. Notice a page or feature is rarely used? Maybe a disproportionate number of app closures after the loading of a specific app page? These might be indicators that something is not functioning properly on those pages and can inform developers to reexamine that build.
Who Uses Mobile App Analytics Software?
Mobile app analytics tools can provide significant, valuable insights for a business. While different teams might find value in different elements of this software, the following list rounds up the most common team members who would most regularly interact with mobile app analytics tools.
Product managers: These users find value in mobile app analytics tools’ application quality of life (QoL) tracking. Changes in application QoL affect application usage and performance. The high-level insights drawn from mobile app analytics tools can help create a more well-informed product direction and improve the overall quality of an application.
Data analysts: Data analysts should find significant value in mobile app analytics tools. The volume of data at their disposal allows data analysts to craft in-depth insights around numerous aspects of an application’s performance. Additionally, the in-software visualization and filtering features can help clarify the mass of data points that mobile app analytics generate.
Application developers: Using mobile app analytics tools, application developers can specifically target application workflows for optimization or upkeep based on data. In-depth analytics around user interactions, region and network data, and code performance can be extremely valuable toward improving an application’s build and client-side operation.
Marketing teams: Marketing teams can take the information collected by mobile app analytics tools and turn them into more effective targeted marketing campaigns. While some of the more technical in-app performance data might not be as useful to these teams, marketers can lean on invaluable resources like demographic, regional, and carrier data as they move toward a more well-informed marketing campaign.
Software Related to Mobile App Analytics Software
Related solutions that can be used together with Mobile App Analytics Software include:
Digital analytics software: Digital analytics software performs many of the same functions that mobile app analytics solutions do but specifically focused on website traffic and web page activity. Combining these two software resources can give businesses a more complete look at how customers interact with their digital offerings.
Mobile app optimization software: Focusing more on user interaction with an application rather than user habits, mobile app optimization software helps companies better solicit the most advantageous user interactions with an application. Mobile app optimization tools focus on the most and least used aspects of an app, explore trends in app usage, and help turn that data into actionable insights.
Challenges with Mobile App Analytics Software
Software solutions can come with their own set of challenges.Â
Overtracking: Overtracking can be a real issue for businesses. Because mobile app analytics solutions offer the ability to track so many aspects of an app’s existence, it is incredibly tempting to try to track all of it. Companies need to be sure to track and analyze what is important for their app’s success, and this may differ from company to company. For example, mobile video game app companies will want to track different data points than a retailer might for their store’s mobile app. If a business cannot fight the temptation to track every little aspect, it is really easy to get lost in the data and, in turn, the data will end up polluting its analysis with nonfactors.
Device attribution: Mobile devices, as a hardware archetype, are composed of a massive collection of device manufacturers, data carriers, and operating system variations. For a mobile app analytics solution to be truly effective, it has to be able to analyze application events in context with the hardware and software the application is run on. Failure to properly capture these details could mean missing out on version, hardware, or carrier-influenced problems, leading to increased time in troubleshooting issues.
Data security: As mentioned above, a hot topic with app analytics is the extent to which user data is tracked and secured. Because of how much data can be acquired about users with app analytics tools, data security and data privacy are genuine and valid concerns. When using a mobile app analytics tool, businesses should also be investing in data security solutions.
How to Buy Mobile App Analytics Software
G2’s reviews from authentic software buyers can serve as a great anchor point for any company ready to start the search for a mobile app analytics solution. With that in mind, there are a few important criteria to consider when looking for the right tool.
Features: Different mobile app analytics software tools can have quite different feature sets. One solution might focus on highly detailed user journeys while another may be able to provide insight into the device models an app’s audience is using. The best fit solution will vary depending on the data that an organization finds most valuable. Authentic G2 reviews made by peers from similar companies can shed light on these factors. A prioritized list of the business’ most desired features enables the software selection team to move forward with a clear idea of what to look for.
Security: Collecting user data is a highly sensitive undertaking that requires constantly up-to-date security and compliance. When searching for a mobile app analytics solution, companies should ensure that the software they’d like to use has a verified history of compliance and high-security standards to protect user data. In some cases, separate data security solutions are preferred to help ensure security compliance and privacy.
