Building a mobile app is only half the story. The real game begins when you start optimizing and truly understanding how users interact with your app. With over 7.1 billion smartphone users and nearly 9 million apps battling for attention worldwide, standing out is tougher than ever.
To win, you need to deliver an exceptional mobile experience that keeps users coming back. But how do you know if you’re on the right path? Enter mobile app analytics software that unlocks insights and empowers smarter decisions.
Get The Insights!
The fastest way to learn about Product Growth, Management & Trends.
What is mobile analytics software, and why do you need it?
Mobile analytics software is a suite of tools designed to help you track, measure, and understand how your mobile app performs and how users interact with it. These tools fall into two key categories: operational analytics and behavioral analytics.
- Operational analytics focuses on the behind-the-scenes performance of your app. Think of it as your early warning system. They monitor crashes, loading times, device types, and network issues, helping you catch problems before they snowball. For instance, if a recent update causes the app to crash on certain Android devices, operational analytics will quickly flag the issue, allowing you to fix it before it impacts more users.
- Behavioral analytics zooms in on what users are actually doing in your app. Are they completing onboarding? Where do they drop off in the conversion funnel? Which features do they engage with and which ones do they ignore? These tools reveal user patterns and pain points, helping you improve flows and create a smoother user experience.
Together, operational and behavioral analytics give you a complete view of both your app’s performance and your users’ experience, so you can build smarter, fix faster, and grow with confidence.
My shortlist of the 8 best mobile analytics software for 2025
If you want a quick sneak peek at the tools, check out this table to see each tool’s sweet spot, core capabilities, starting price, and G2 rating.
1. Userpilot for product teams seeking a cross-analytics platform
Userpilot is an all-in-one platform for product teams that want to improve user engagement, drive adoption, and retention.
If you need a single platform to track user behavior across the web and mobile and then act on these insights to improve the in-app experience right from the same platform, go for Userpilot.
Here’s a more detailed breakdown of its key features:
- Autocapture for web and event-based tracking for mobile: Allows you to automatically collect key user actions with minimal dev effort. Mobile event tracking is no-code, so PMs can set it up themselves.
- Web session replays: Watch real user sessions to see exactly how people interact with your app. Spot bugs, understand friction points, and connect the dots between data and actual user experience.
- Analytics dashboard: Get a clear, centralized snapshot of vital metrics like retention, feature adoption, and revenue growth, plus behavioral trends and conversion patterns, all in one place.
- Custom analytics reports: Build funnels, map user paths, and analyze retention trends to uncover actionable insights fast. Use these insights to continually optimize your user journeys.
- User and company profiles: View detailed timelines combining mobile and web activity so you get a full picture of how each user or account engages with your product over time.
- Surveys and survey analytics: Launch surveys to collect direct feedback from mobile users and complement your analytics data with qualitative insights.
- Personalized in-app messaging: Beyond just analytics, Userpilot lets you engage users directly with mobile carousels and slideouts, triggered by mobile behavior.
In short, Userpilot gives you all the tools to track and improve mobile experiences. Don’t just take it from us, here’s a real user’s opinion:
The best thing about Userpilot is how it scales cleanly with monthly active users (MAUs) and keeps every data point in one place. Perhaps the only drawback today is that session replay hasn’t reached the mobile SDK yet.
How much does Userpilot cost?
Userpilot’s pricing is transparent and MAU-based, so that you can plan costs by audience size, not number of events. Plus a 14-day free trial, pricing plans include:
- Starter starts at $299/month, billed annually.
- Growth at $799/month, billed annually.
- Enterprise has customizable pricing.
Try Userpilot’s Mobile Analytics Software Today!
2. Amplitude for enterprises seeking deep predictive analytics
Amplitude, known widely for its predictive analytics features, is ideal for enterprise companies that want to go beyond identifying user events to predicting long-term retention.
Its main features include:
- Funnel analysis: Map sequences like “Open > Onboard > Purchase” and identify feature drop-offs.
- Behavioral cohorts: Group users by actions and track how each segment converts or churns with advanced cohort analysis.
- Compass analysis: Detect first-week user behaviors that predict long-term retention and highlight key Aha moments.
- Microscope and conversion drivers: Inspect a two-step funnel to find the taps or screens that push users forward.
- Mobile dashboards: Visualize daily active users alongside key metrics to monitor engagement trends.
How much does Amplitude cost?
Amplitude’s pricing includes a free plan for up to 50K MTUs. The Plus plan starts at $49/month, while Growth and Enterprise plans have quote-based pricing.
The best part of Amplitude is its predictive analytics + built-in A/B testing combo. Once you isolate an Aha moment with Compass, you can spin up an experiment to prove it drives lift, all in the same UI.
On the flip side, Amplitude isn’t exactly plug-and-play. Its feature set is broad, and you must go through a steep learning curve to use it effectively. Add the fact that pricing climbs quickly with event volume and extra seats, and it may not be the best choice for smaller teams.
💡 Pro tip: You can integrate Amplitude with Userpilot for more comprehensive insights. You’ll make two-way workflows that let you measure the real impact of every guided flow, iterate faster on what works, and create data-driven mobile experiences.
3. Firebase for developers building on Google ecosystem
Firebase is the obvious pick if you’re building a new app and want analytics to live inside the same Google toolkit that powers your backend and push notifications.
Here are some of its features:
- Automatic and custom event logging: Captures key events automatically and supports up to 500 custom events, so nothing important slips by.
- Audiences and user properties: Blend traits like language with behaviors such as “finished onboarding” and sync those segments straight to Google Ads.
- Conversion tracking and Cloud Functions: Mark any event as a KPI and trigger workflows like emails or reward grants the moment it fires.
- BigQuery export: Streams raw events into Google Cloud for custom SQL joins with CRM data and deeper machine-learning insights.
How much does Firebase cost?
Firebase is free for mobile analytics.
The best thing about Firebase is how seamlessly it plugs into the broader Google ecosystem (and that generous free tier doesn’t hurt). The trade-off? Large apps may feel the sting of sampled reports because accuracy can be reduced with high traffic, and some teams may be concerned about data privacy with all their user data on Google’s servers.
4. Countly for teams needing additional data ownership and privacy compliance
For teams that need full ownership of their mobile analytics data (like GDPR-heavy or sensitive-data environments), Countly’s self-hosted option puts everything behind your firewall while still giving you all the behavioral insight you’d expect from a mobile analytics tool.
Its features include:
- Real-time crash monitoring & performance metrics: Capture every crash the moment it occurs so you can pinpoint and fix issues immediately (and even auto-create JIRA tickets).
- Drill: Lets you segment your mobile app user data by custom event or user property to uncover hidden patterns and build precisely targeted reports
- Behavioral cohorts: Group people based on their in-app actions and then track how each cohort converts, retains, or generates revenue over time
- Conversion funnels: Map sequences of mobile events and visualize where users drop off.
How much does Countly cost?
Countly has a free Lite plan with a self-hosted installation. Its Flex plan is free for up to 1,000 MAUs, is cloud-hosted, and starts from $80/month when you exceed the free-tier limits. Finally, it has an Enterprise plan, which you can choose to be self-hosted or cloud-hosted, with custom pricing.
Countly helps you keep your entire data stack on your servers. However, it lacks an autocapture feature, so every event needs a line of code. You’d have to lean on app developers whenever a new metric pops up, and it’s not as customizable as most mobile analytics tools.
5. PostHog for engineering teams seeking an open-source solution
PostHog is an open-source analytics tool that provides complete control over the stack, affordable usage-based pricing, and a toolkit engineers can wire into any flow. It’s mainly for engineering teams and requires technical knowledge.
Its main features are:
- Event capture and autocapture: With mobile SDKs that log events on demand while autocapture records user sessions with zero extra code.
- Funnels and user paths: Drag-and-drop event sequences reveal drop-offs and measure conversion times between steps.
- Retention insights and cohorts: Track daily, weekly, or monthly return rates and compare cohorts to spot behaviors that sustain engagement.
- Mobile dashboard template: Flag version-specific bugs by grouping key metrics across app versions, device models, mobile platforms, and active-user counts.
PostHog’s clear advantage is its affordability. User tiers stay “ridiculously cheap” until you need to scale. Due to its engineer-centric learning curve and occasional documentation gaps, non-technical teams may need help to set up and get value.
How much does PostHog cost?
PostHog’s pricing allows startups to start at no cost and then scale seats and event volume only when the numbers justify it.
The totally free plan allows one project without adding a credit card. Its ridiculously cheap plan is usage-based after the free tier and allows up to six projects. If you have larger deployments, you can go for the Starship enterprise plan that starts at $2,000/month.
6. AppsFlyer for marketing attribution
Although it doesn’t handle full analytics, AppsFlyer is your go-to mobile attribution and marketing analytics tool that helps you prove which ads, channels, and creatives lead to app installs and revenue. It’s ideal for performance-marketing and UA teams that need iron-clad install tracking, deep fraud protection, and plug-and-play integrations with every major ad network.
AppsFlyer’s key features include:
- Measurement and attribution suite: Collects installs, sessions, and in-app events from every channel in real-time so your campaign ROI is crystal clear.
- Cohort and retention analysis: Segments users by acquisition date or behavior and tracks their engagement and revenue over time.
- OneLink deep linking: Routes prospective customers from web, email, or ads straight to the right in-app screen, improving onboarding and re-engagement.
- Analytics and reporting APIs: Connect raw or aggregated event data into your BI stack for custom dashboards and ML models.
How much does AppsFlyer cost?
AppsFlyer has a free plan, with 12,000 free conversions in your first year. The paid plans include Growth (7¢/conversion) and Enterprise (custom pricing).
One significant advantage is the built-in fraud shield that saves money by detecting and blocking fake installs, bots, and click spam. However, it barely touches product usage analytics. You’ll need a second tool if your goal is feature insight rather than marketing performance.
7. AppDynamics for enterprises requiring deep app performance monitoring
AppDynamics (part of Cisco’s Splunk Observability) is an enterprise-grade performance monitoring application that provides deep visibility into app performance, server health, and code-level diagnostics.
Key features include:
- Real-user monitoring: Collects session data for start times, screen latencies, network calls, errors, and custom metrics in real-time.
- Crash reporting and snapshots: Instantly capture stack traces, device details, and session context to speed up root-cause fixes.
- Network request analytics: Logs every HTTP(S) call and filters by carrier, country, or app version to surface latency spikes and flaky endpoints.
- Mobile device metrics: Monitors RAM, storage, and battery per session, flagging thresholds like “battery < 50 %” to explain performance dips on low-end devices.
How much does AppDynamics cost?
AppDynamics’ pricing starts at the Infrastructure plan ($6/month/vCPU). The other paid plans are Premium ($33/month/vCPU) and Enterprise ($50/month/vCPU). All plans are billed annually, and a free trial is available.
The best thing about AppDynamics is the depth. You can pivot from a user’s frozen splash screen to the misbehaving SQL call inside a few clicks. Perhaps the most significant flaws are cost and complexity. Per-core pricing climbs quickly, and the feature set can feel daunting without a bit of formal onboarding.
8. UXCam for crash insights and user session analysis
UXCam is a visual-first mobile and web analytics platform that lets you see the spikes in crash logs and picture exactly what the user saw. It combines crash reporting and session replays to see the user’s interaction and where the friction point happened.
Its key features include:
- Session replay: Record full user sessions and replay the moment a gesture fails or a screen freezes.
- Heatmaps: Overlay touch and scroll activity to reveal UI hotspots, dead zones, and sticking points at a glance.
- Customer journeys: Automatically map every screen transition to uncover common paths, drop-offs, and unexpected loops.
- Issue analytics: Pair crash and freeze logs with replay context so you can prioritize and fix bugs faster.
- Behavioral segmentation: Group sessions by device, OS, or event to compare cohorts and uncover behavioral patterns.
How much does UXCam cost?
Free plan available (up to 3,000 monthly sessions). Starter, Growth, and Enterprise plans are custom-priced based on use.
UXCam stands out because its crash snapshots sit beside the replay, eliminating back-and-forth between tools. However, it leans heavily on visuals, so if you need deeper quantitative funnels or retention analytics, you’ll have to pair it with another mobile app analytics tool.
Choosing the right mobile analytics software for your needs
There’s no single “best” mobile app analytics platform; only a tool that matches your use case and budget.
If you are a product team that needs a cross-platform analytics software with built-in engagement features, then Userpiot is your bet. Book a demo today and experience it in action.
Try Userpilot’s Mobile Analytics Software Today!
FAQ
What is mobile app analytics?
Mobile app analytics is the process of collecting and analyzing data from a mobile application to understand how users interact with it, measure its performance, and improve user experience and business outcomes.
Who uses mobile app analytics tools?
Mobile app analytics tools are used by several roles across a product team:
- Product managers to track user flows and feature adoption to guide roadmap decisions.
- Marketers to analyze acquisition channels and campaign performance.
- UX/UI designers to monitor friction points and usability issues.
- Developers to monitor crashes, network calls, and code-level diagnostics.
- Executives to review high-level metrics to measure growth and ROI.
About the author
