Mobile analytics

Privacy-first mobile app analytics & engagement

Understand how users interact with your mobile app, then act on those insights with personalized engagement. Improve journeys, feature adoption, performance, and retention while keeping user data under your control.

Analyze mobile apps

Mobile app dashboard showing Face ID logins at 2,738, total sessions by country, and new user activation progress.

Why choose Countly for mobile analytics?

The only mobile analytics platform that combines absolute data control with omnichannel insights and AI readiness.

Full data control & privacy by design

Choose between self-hosting or private-cloud to keep sensitive user data secure. Gain full transparency, data ownership and compliance.

Scalable & extensible

Scale effortlessly with 70+ plugins, including advanced segmentation, cohorts or A/B testing. Proven on billions of data points for reliable performance at any volume.

Omnichannel Unity

Combine insights of your user and product data on mobile platforms with web, desktop or any connected device and gain an complete, cross-platform view.

AI-ready data foundation

Turn mobile behavior into structured building blocks - giving AI models the who, what, and why behind every event for context-rich insights.

With Countly we've been able to better plan and execute roadmaps for the product and updates. We plan releases and updates through Countly’s detailed data, which is giving us a deeper understanding of how customers are using the product.

Adeel Bhatti

Manager of Business Operations

Why choose Countly for mobile analytics?

The only mobile analytics platform that combines absolute data control with omnichannel insights and AI readiness.

Dashboard showing crash affected users at 65.4%, resolution status at 100%, crash fatality at 31%, and platform bars for iOS 18, Android 15, iOS 17, and iOS 26.

Crash & performance analytics

Symbolicate crashes, monitor ANRs and hangs, and track latency, network usage, and battery impact to debug faster and improve stability.

User interface for selecting trigger event type with a search box showing options Purchase, Login, Logout, and an option to create new event 'B'.

Journeys & in-app messaging

Design behavior-based, multi-step journeys and trigger real-time in-app messages, modals, or surveys based on user actions and attributes

Personalization & remote config

Dynamically control app content, features, and logic using real-time variables and targeted remote config, integrated with A/B testing.

Filter panel set to show users from Japan who performed login at least once today and did not perform a purchase.

Behavioral cohorts & retention

Create dynamic cohorts from user actions or attributes and analyze retention by device, OS, or acquisition source.

Bar chart showing new user activations in the last 30 days with stages: Opened App 100%, Logged In 55.3%, Sent Money 39%, Exchange Currency 12%, and Used Wallet Mastercard 9.5%.

Funnels & flows

Visualize conversion paths and action sequences to identify friction, understand user intent, and optimize completion rates.

User interface segmenting purchase events where app version is not 3.1 and breakdown by country over date range from 1 Jan 2025 to 30 Mar 2025.

Advanced segmentation & drill

Explore granular data without SQL by segmenting users via devices, connectivity, app versions, and custom event properties.

Dashboard showing total clicks at 949 with 2.57% increase, unique clicks at 273 with 1.35% decrease, and conversions at 0.31 with 1.15% decrease, accompanied by an orange line graph with solid and dotted lines representing trends.

Attribution & acquisition

Measure marketing ROI by tracking installs, campaigns, UTMs, and deep links across acquisition channels.

User interface screen showing notification settings with options for notification type, recurring push start date, set end date toggle, and notification frequency daily selected.

Engagement tools

Deliver personalized push notifications, experiments, and remote config updates driven directly by analytics insights.

Device & OS intelligence

Analyze devices, screen resolutions, OS versions, locales, and languages to guide targeted optimizations.

Straight-forward and comprehensive integrations

Choose freely among 6 SDKs that make the most sense for your mobile app.

Discover our SDKs →

Build better mobile experiences with data you own

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Frequently asked questions

What is mobile app analytics?

Mobile app analytics is the collection and analysis of behavioral and technical data from mobile applications. It helps product teams understand how users navigate an app, which features they use, where they encounter friction, what drives retention, and how application performance affects the user experience.

What does Countly track in mobile apps?

Countly can track sessions, events, screens and views, user properties, journeys, funnels, retention, device information, and application crashes. Teams can use this data to understand individual and aggregate user behavior and identify opportunities to improve the mobile experience.

Which mobile SDKs does Countly support?

Countly provides SDKs for major mobile development environments, including iOS, Android, React Native, and Flutter. Supported capabilities vary by SDK and can include analytics, user profiles, journeys, push notifications, crash reporting, experimentation, and feedback.

Can Countly send push notifications based on behavior?

Yes. Countly can use behavioral data and user segments to target push notifications, allowing teams to engage relevant audiences based on how they interact with a product. Push notification support includes iOS, Android, and Huawei devices through their respective notification services.

Can Countly analyze crashes?

Yes. Countly can collect and analyze fatal and non-fatal crashes in mobile applications. Teams can investigate issues by factors such as operating system, device, and app version, monitor application stability, and use real-time crash reporting to identify problems affecting the user experience.