The Top 10 Mobile Analytics Solutions

Adjust offers a suite of measurement and analytics tools designed to optimize your app’s growth. There are four key tools in the suite: Measure permits unlimited measurement across various channels; Analyze presents deep analytics, reporting, and visualization capabilities; Automate uses automation to enhance your operations and marketing processes; and Protect helps keep your data safe and combats mobile ad fraud.

With the Measure tool, Adjust allows users to understand the end-user journey across mobile, web, CTV, PC, and console channels. Measure also offers comprehensive reporting on collected metrics, enabling users to monitor their subscription funnel for conversion rates and accurately gauge the performance of CTV campaigns. The Analyze tool offers customizable reports for tracking KPIs, which users can use to filter and visualize data from unlimited sources. Users can use this data to compare and analyze multi-app results, then export it directly from the dashboard. The Automate tool offers customizable alerts for KPIs, real-time updated custom audiences, and mobile marketing tools for scaling campaigns. Finally, on the Protect side, Adjust proactively fights fraud with SDK signatures, S2S authorization, and the ability to process and store data at client-specified locations. It also offers GDPR and CCPA compliance, and add-ons for single sign-on and two-factor authentication.

The Adjust suite is a complete package that streamlines app growth strategy, enhances marketing efficiency, and fosters accurate measurement and analytics—all whilst ensuring the security of data stored within the platform. It’s important to note that while most of the platform’s analytics tools are included as standard, some features—including data residency, campaign automation, and web attribution—are only available as add-ons to the platform’s Core and Enterprise packages.

Adobe Analytics is a comprehensive digital analytics tool that collects customer data from each point in the user journey, then provides robust mobile web and application analytics. Using Adobe Analytics, product teams can optimize mobile engagement and improve retention and conversion rates.

Adobe Analytics is equipped with advanced features that help users to better understand their audience and improve their mobile experiences. These include campaign acquisition tracking, sequential multi-touch and re-engagement attribution analysis, automating analysis for identifying high-value audiences, visualizations for monitoring user flow, and options to customize visit definitions. The platform also offers a multidimensional site analysis tool, real-time segmentation, advanced reporting, and anomaly detection powered by Adobe Sensei’s machine learning capabilities.

Utilizing these features, users can discover high-value customers and take steps to improve their platform so they can retain them. Finally, Adobe Analytics provides an array of tools for managing the mobile lifecycle, including personalization, engagement, and audience analytics. This helps teams to optimize their platform’s mobile performance and enables them to scale up mobile engagement as the business expands, ensuring a seamless user experience regardless of the volume of data.

In summary, Adobe Analytics is a versatile and efficient tool that helps product teams better understand mobile user behavior, enabling them to optimize mobile engagement and drive conversions.

Amplitude provides product analytics for both web-based and mobile applications.  Amplitude Analytics is their machine learning-powered platform that visualizes customer journeys, pinpoints friction points, and helps product teams to better understand end-user behaviors. To achieve this, the platform offers a suite of specialized analytics tools.

Amplitude Analytics conducts funnel analysis, retention analysis, and visual path analytics, as well as monitoring end-user sessions to help product teams identify key features and user behaviors (such as interactions with specific features) that can influence growth or customer churn. The platform alerts teams to possible issues and metric regressions, enabling them to quickly remediate issues. It also offers integrated A/B testing and data insights with options for scaling experimentation, in order to help teams make informed decisions on how to develop their product and engage their end-users. Finally, Amplitude Analytics offers industry-specific templates and automated reports, as well as customizable reporting options that enable users to easily track their KPIs.

Overall, Amplitude Analytics is a comprehensive product intelligence platform that offers real-time insights into user behaviors, product performance, and potential friction points. It’s a robust tool that makes it easier for product teams to optimize their product offering, increase conversion rates, and effectively mitigate possible issues.

AppsFlyer is a versatile analytics platform that enables businesses to measure and analyze their end-users’ engagement with their applications. The platform empowers businesses to make timely, informed marketing decisions throughout the end-user journey, and spot opportunities for growth.

Key functions of AppsFlyer include its full-funnel measurement capability, which gives users visibility into every stage of the end-user journey, and advanced fraud protection technology. It delivers key metrics (including lifetime value and return on advertising spend) via a single, central dashboard, along with real-time analytics, advanced segmentation, and predictive analytics that enable quicker and more informed decision-making. Users can also create custom reports that provide insights into KPIs, which can easily be exported and shared with key stakeholders. Finally, using AppsFlyer’s APIs, users can integrate raw and enriched data into their business intelligence, product analytics, or cloud storage solutions, allowing them to keep track of all their data in one place.

In summary, AppsFlyer collects user behavior data and enables you to conduct in-depth analyses of that data, thanks to its real-time reporting and advanced segmentation capabilities. AppsFlyer is an effective and reliable tool for businesses looking to improve their campaign performance and leverage growth opportunities. However, it must be noted that a subscription to AppsFlyer’s Growth or Enterprise plans is required for access to the in-depth analytics features.

Heap, acquired by Contentsquare in 2023, is an agile mobile analytics tool that offers automated, cross-platform insights to help product teams enhance user experience. The platform aggregates scattered data fragments and transforms them into actionable insights, offering consistently clean, unified, and flexible data handling.

Heap offers a simplified data capture function that allows users to easily capture data at scale, across web and mobile applications, and IoT devices. Through its automated data science tools, Heap enables users to view the full customer journey across each of these platforms and gain insights into their individual behaviors, with event modification and identity resolution. When it comes to reporting, Heap comes preloaded with mobile dashboards for quick access to key metrics.

In summary, Heap is a robust tool for mobile data analytics. Its user-friendly interface makes the platform quick and easy to implement, and it requires little coding knowledge to deploy and manage. As such, we recommend Heap for data-driven businesses looking for an easy-to-use, yet powerful, mobile analytics tool.

Firebase is a comprehensive app development platform backed by Google, which helps developers to build and improve apps. Google Analytics is a freely available analytics tool that integrates fully with Firebase to provide insightful snapshots of user behavior. These insights can help developers to make evidence-based decisions on app marketing and performance optimization.

Google Analytics enables a depth of reporting for up to 500 custom events defined by users with the Firebase SDK. Once integrated with Firebase, Google Analytics automatically records events and user behaviors within the user’s application. Users can also create custom events relevant to the business. The gathered data—including user demographics and feature interactions—is displayed via a dashboard on the Firebase console. Users can also link the Analytics data to BigQuery for more comprehensive examination, including querying large datasets or combining multiple data sources. An additional strength of Google Analytics for Firebase is its ability to conduct performance evaluations of users’ campaigns both from organic and paid platforms. This helps determine the most effective methods for retaining high-value users. Finally, Google Analytics also integrates with other Firebase functionalities to enable automatic logging and reporting for notification message events.

Overall, Google Analytics is a cost-free, robust platform that drives informed decision making on app marketing and performance enhancement. Its wide-ranging features, from capturing custom events to comprehensive audience insights, make it a strong solution for growing businesses looking to optimize their app performance.

Fullstory is a behavioral data analytics platform focused on analyzing digital interactions to help businesses identify opportunities for personalization and predictive modeling. It presents a comprehensive view of user behavior on mobile devices without infringing on user experience or privacy, in order to support quick debugging and identify potential improvements to the user experience.

Fullstory is designed to be ultralight, low-lift, and framework-forward. The platform requires minimal coding changes, reducing the need for repeated software development input. It’s Software Development Kit (SDK) is only around 1MB, and it scans the user’s application more than 300 times per minute and utilizes under 100kb of data to capture app interactions. This fast, lightweight scanning allows Fullstory to offer a comprehensive view of the user experience, without impacting the application’s performance. The platform also features crash deconstruction and Session Replay, which can help developers to quickly identify and solve issues. Finally, Fullstory maintains the security of users’ first-party data and offers adjustable privacy settings that align with their organization’s needs.

In summary, Fullstory is a feature-rich platform that tracks end-user behavior to help product teams enhance their mobile app experiences. Overall, we recommend Fullstory for organizations that want to obtain deep behavioral insights while preserving user privacy and app performance.

The Glassbox Digital Customer Experience Platform offers a Mobile App Analytics module, which provides comprehensive insights into the end-user experience of mobile applications. This analytics tool captures every user interaction and technical event in a mobile app, enabling users to analyze in-app user experiences in depth.

Glassbox Mobile App Analytics’ high-performing, reliable SDK deploys widely across popular apps. The tool seamlessly integrates with other web analytics, APM, VOC, and A/B testing tools, and is compatible with a range of operating systems. With its robust analytics capabilities, it unifies both mobile and web analytics in one platform. This facilitates a clear view of cross-channel user behavior, including custom session replay that enhances users’ understanding of end-user action and response patterns within their app. Alongside its analytics capabilities, Glassbox also prioritizes security and privacy by offering advanced data masking. This enables users to define what data is captured and who has access to it.

Overall, Glassbox Mobile App Analytics provides users with a comprehensive, secure solution for understanding the in-app experiences of their users. Through its efficient data capture and extensive integration capabilities, Glassbox enables in-depth analysis that can help maximize user experience and customer satisfaction.

Mixpanel is a product analytics platform that is designed to help businesses make informed development and marketing decisions. To achieve this, the platform tracks end-user activities, enabling a deeper understanding of behavior, demographics, and account types, then provides users with detailed insights around this data.

One of Mixpanel’s standout features is its sophisticated behavioral metrics system. With just a few clicks, businesses can monitor growth and engagement, and compare current trends with historical insights. It demystifies end-user conversion rates in critical pathways and helps users identify friction points that they need to address. Mixpanel offers robust regression analysis features that enable businesses to assess the actual impact of new features, campaigns, and product alterations. It provides features for testing variants and helps to roll out high-quality releases that resonate with users. The platform also provides end-user retention metrics, helping product teams to implement changes to foster customer loyalty. When it comes to security, Mixpanel offers data encryption in transit and at rest, global privacy regulation compliance, and user permissions and access controls.

In summary, Mixpanel is a versatile analytics platform that enables businesses to track end-user behavior, analyze engagement, and make informed decisions, all while protecting their data. Its capabilities make it a strong choice for organizations seeking to enhance their product strategy based on actual user behaviors and trends.

Pendo is an integrated platform that focuses on user behavior analysis within mobile and desktop applications. It combines behavioral analytics, end-user feedback, and custom in-app messaging to provide users with valuable insights for product development and enhancing user engagement.

Pendo evaluates product usage with the aim of helping users to understand customer sentiment. The platform provides in-depth information about how end-users interact with the app (including information on the operating systems and app versions customers are using), the features they frequently use or neglect, and end-user return frequency (i.e., retention rate). Users can filter through product data via the platform’s Data Explorer feature. Finally, Pendo’s in-app communication features enable users to deliver personalized messages to end-users, as well as collect end-user feedback, without the need for extensive engineering efforts.

Overall, Pendo for Mobile enables businesses to capture end-user behavior to help inform product development efforts, improve user engagement, and maintain product-user interaction. We recommend Pendo as a strong solution for any organization looking to gain a better understanding of their user base, and particularly those that would value written user feedback.