Best Free Mobile Analytics Tools in 2026

Aptabase provides analytics for mobile and desktop apps while respecting user privacy. No personal data collection, no user tracking across apps, just aggregate metrics about how your product gets used. The SDK is tiny and fast. Data stays on servers you control if you self-host. It does what analytics should do—answer product questions—without becoming a privacy liability. Indie developers and teams building for privacy-conscious users choose Aptabase when they need insights without the ethical compromises of typical analytics.

Countly is a product analytics platform for web, mobile, desktop, and IoT with self-hosted and cloud options. Features user analytics, retention, funnels, push notifications, and A/B testing.

Adapty is a comprehensive platform designed to help mobile app developers and owners manage, optimize, and grow their in-app purchase and subscription revenue. It provides a developer-friendly SDK for integrating in-app purchases (IAPs) across various platforms like iOS, Android, React Native, Flutter, and Unity, handling complex subscription states from free trials to refunds without requiring server-side coding. This significantly reduces integration time and effort for developers. For app owners and marketers, Adapty offers robust tools for revenue analytics, LTV prediction, A/B testing of paywalls, and no-code paywall building. It enables remote configuration and localization of paywalls, allowing for dynamic adjustments without app releases. The platform also includes features like Refund Saver to reduce refund rates, and integrations with other analytics and attribution services to forward subscription events. Adapty aims to provide a complete toolkit for optimizing monetization strategies, understanding subscription metrics in real-time, and ultimately boosting app revenue.

Qonversion is an in-app purchase platform designed for app developers to manage, analyze, and grow their subscription-based mobile and web applications. It provides a comprehensive suite of tools to implement in-app purchases, track performance metrics, and optimize monetization strategies. The platform offers SDKs for iOS, Android, and web, enabling cross-platform access management. It includes robust analytics for real-time dashboards, conversion rates, MRR/ARR, and customer CRM. Qonversion also features a no-code paywall builder with A/B testing capabilities for paywall, product price, and onboarding optimization, helping developers find the best subscription prices and trial periods.

data.ai (formerly App Annie) is a mobile app analytics and market intelligence platform used by businesses to track app performance, downloads, revenue, and engagement across iOS and Android. It provides competitive intelligence, app store optimization (ASO) tools, advertising analytics, and market trend data spanning 3+ years across 15+ countries. The platform helps gaming, retail, finance, and media companies make data-driven decisions about their app strategies. ConnectPlus offers 50+ free data connectors.

UXCam is a product and UX analytics platform designed for mobile and web applications, helping product teams understand user behavior and improve their products. It automatically captures every micro-interaction, including screens, behavioral events, issues, and gestures, with a single snippet of code. This allows teams to analyze app performance, user journeys, and identify friction points without extensive manual tracking. The platform integrates product metrics with user behavior insights, offering features like heatmaps, session replay, and customizable dashboards. A key differentiator is Tara AI, an AI analyst that watches user sessions, identifies friction, and recommends solutions, significantly reducing the time product teams spend on data analysis. UXCam also prioritizes security and privacy, offering features like automatic PII detection and data masking to ensure compliance and protect user data. UXCam is built for performance, with a lightweight SDK that ensures smooth app operation. It supports easy integration with existing analytics tools and is compatible with modern web frameworks. The platform aims to provide a single source of truth for product, design, and customer success teams, enabling them to collaborate effectively and make data-driven decisions to increase conversions, drive engagement, and resolve issues faster.

Embrace provides a user-focused observability platform that gives frontend teams full visibility into how their end users experience their products across both web and mobile applications. It extends traditional Real User Monitoring (RUM) to offer deep insights into user journeys and technical performance. The platform helps engineers understand the impact of technical performance on user engagement by allowing them to build custom user flows and analyze them with granular tooling. This bridges the gap between product analytics and observability, enabling teams to proactively identify and resolve issues that affect user experience. Embrace is designed for frontend teams and engineers who need to monitor, troubleshoot, and optimize the performance and reliability of their web and mobile applications from the end-user's perspective. It helps them navigate the complexities of modern application environments, including diverse devices, operating systems, and network conditions.

Tenjin is a Mobile Measurement Partner (MMP) that provides comprehensive marketing analytics and attribution solutions specifically designed for mobile app publishers, particularly in the gaming sector. It helps companies track, analyze, and optimize their user acquisition campaigns by attributing mobile app installs to specific paid marketing efforts. The platform offers tools for ad spend reporting, ad revenue analytics, and lifetime value (LTV) calculations, enabling data-driven decision-making. Tenjin caters to teams of all sizes, from small startups to large enterprises, offering transparent pricing and a focus on data privacy and security. It empowers mobile app developers to scale their user acquisition by providing insights into campaign performance, ad creative effectiveness, and overall return on investment (ROI). The platform supports various attribution models, including SKAdNetwork for iOS 14+, and offers full raw data access for advanced analysis.

App Annie, rebranded as data.ai in 2022 and subsequently acquired by Sensor Tower in 2024, was a leading mobile app analytics and market intelligence platform. It provided app store rankings, download and revenue estimates, advertising analytics, keyword tracking, and competitive benchmarking across iOS App Store, Google Play, and Amazon Appstore. The platform served app developers, marketers, and investors with insights into app performance, market trends, and audience behavior. Following the Sensor Tower acquisition, data.ai''s capabilities have been integrated into Sensor Tower''s broader digital analytics platform.

Appfigures is a comprehensive platform designed for app developers, game developers, market analysts, growth marketers, and enterprises to track, analyze, and optimize their app performance. It consolidates data from various app stores and ad networks into a single dashboard, providing insights into downloads, revenue, reviews, and ad spend. The platform offers tools for App Store Optimization (ASO) to help apps get discovered, Apple Ads Intelligence for optimizing ad campaigns, and Universal Analytics for a complete view of app performance. Users can benchmark against competitors, identify market trends, and make data-driven decisions to drive growth and improve ROI. It aims to simplify data management and reporting, allowing users to focus more on building and marketing their apps.

Apphud is a comprehensive platform designed for developers, marketers, and product managers to integrate, analyze, and optimize in-app subscriptions for iOS and Android applications. It provides a robust suite of tools covering everything from initial integration to advanced analytics, A/B testing, and churn reduction strategies. The platform helps users understand their app economy with real-time revenue analytics, cohort analysis, and detailed dashboards, enabling data-driven decisions. For developers, Apphud simplifies the integration of in-app subscriptions and supports non-renewing purchases. Marketers can leverage its capabilities for accurate ad performance measurement, attribution, and web-to-web campaigns without coding. Product managers benefit from features like A/B testing for pricing and paywalls, automated win-back campaigns for lapsed customers, and tools to reduce involuntary churn. Apphud aims to increase app revenue by providing deep insights into user behavior and subscription lifecycle management. Key benefits include precise revenue tracking, identifying monetization bottlenecks, improving trial conversions, and reducing churn through automated actions and personalized user engagement. It integrates with various third-party tools for a seamless workflow and offers visual editors for creating in-app screens and campaigns.

Appsee was a mobile app analytics platform that provided a comprehensive understanding of user behavior through visual analytics. It focused on qualitative data, allowing product managers, UX designers, and developers to see exactly how users interacted with their mobile applications. This was achieved through features like user session recordings, touch heatmaps, and UI analytics. The platform aimed to bridge the gap between quantitative data (like crashes or retention rates) and the 'why' behind user actions. By visualizing user journeys, identifying points of friction, and understanding engagement patterns, teams could make data-driven decisions to improve app usability, optimize conversion funnels, and enhance the overall user experience. It was particularly useful for identifying UI/UX issues that might not be apparent from traditional analytics dashboards. Appsee was designed for mobile-first companies and teams looking to gain deep insights into their app's performance from a user interaction perspective. It helped in debugging UI issues, validating design choices, and understanding user flows to drive product improvements.