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Believe or not, choosing the right mobile app analytics tool can actually make or break your growth strategy.
With millions of apps competing for user attention, the brands and developers that win are the ones that know exactly what’s happening inside their apps and why. But with so many platforms promising “deep insights,” how do you decide which mobile analytics solution is actually worth your time and budget?
The fact is that you probably need more than one solution. And if you don’t have one today, you’ll have to choose one to start with before you know what else you need.
Whether you’re optimizing user acquisition, tracking subscription revenue, or boosting retention, this handy guide breaks down the top app analytics platforms in 2025 and how to build the right stack for your business.
But let’s start at the beginning …
Key takeaways
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Choosing the right app analytics tool is critical for growth
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You may need more than one platform to cover marketing, product, UX, and revenue insights
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Top tools in 2025 include: Singular, Mixpanel, Firebase, Apple App Analytics, Amplitude, Data.ai, UXCam, RevenueCat
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Pick tools based on roles and goals—not all analytics platforms serve the same purpose
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Ask the right questions before picking a tool: What data do you need? Who will use it? What are your growth priorities?
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The right analytics stack lets you scale smarter and faster
What is mobile app analytics?
Mobile app analytics is the practice of collecting and analyzing data about user behavior inside your app. This includes everything from installs and session length to retention, in-app events, churn, LTV, and revenue.
To do this really effectively, you need the right mobile analytics tools, which will (ideally) be integrated across your marketing and product teams.
Top mobile app analytics tools in 2025
1. Singular – best for full-funnel mobile marketing analytics
(Did you think we were going to bury ourselves in this list? PLEASE.) Singular offers advanced mobile attribution, cross-channel ROI tracking, fraud prevention, and creative performance insights in a single solution.
It’s not just about data collection. Singular unifies ad spend, in-app behavior, and subscription revenue so marketers and developers can make smarter decisions across iOS, Android, web, and SKAN 4.0 environments.
Why choose Singular?
- Advanced cohort analysis and LTV tracking
- Creative analytics tied directly to campaign performance
- Privacy-safe measurement across platforms
Best for: Mobile marketers who need a single source of truth
Use case: All the data you need for growth, insights, creative optimization, and ad partner management
2. Mixpanel: Best for product analytics and user journeys
Mixpanel is a self-serve solution that lets you track how users interact with your app – what they do, where they drop off, and which features drive retention.
It’s great for teams who aim to optimize conversion funnels or who are rolling out new features based on real user behavior.
Best for: Product managers and UX teams
Use case: Funnel analysis, retention curves, in-app experimentation
3. Firebase: Best free analytics for early-stage apps (especially Android)
Google’s Firebase platform is for backend development, sure, but it includes crash reporting, messaging, A/B testing, and in-app analytics—all integrated with the Google ecosystem. In its own words, “At the heart of Firebase is Google Analytics, an unlimited analytics solution available at no charge. Analytics integrates across Firebase features and provides you with unlimited reporting for up to 500 distinct events that you can define using the Firebase SDK.”
It’s a smart starting point for app developers who want backend tools alongside analytics.
Best for: Startups and indie developers
Use case: Event tracking, performance monitoring, push campaigns
4. Apple App Analytics: Best for iOS app performance metrics
As Firebase is to Android developers, so Apple App Analytics is to iOS developers. It delivers insight into app store impressions, downloads, and user engagement metrics. This solution is especially useful for subscription and paywall-based apps. While free and convenient, it lacks deeper in-app behavioral analytics, so marketers will need additional tools.
Best for: iOS-first apps focused on App Store Optimization (ASO)
Use case: Understanding user behavior, optimizing app performance, improving marketing for iOS-first apps.
5. Amplitude: Best for advanced behavioral analytics
Amplitude is a powerful analytics platform focused on user behavior, cohort analysis, and product optimization. Product and growth teams like it because it helps them get a better understanding of retention, identify high-value user paths, and run in-depth funnel analysis.
Amplitude’s most popular feature helps teams visualize how users move through your app, which can deliver insights into what drives long-term engagement.
Best for: Growth teams focused on lifecycle and feature engagement
Use case: Behavioral cohorts, retention curves, product-led growth
6. Data.ai (now part of Sensor Tower): Best for competitive intelligence
Sensor Tower, which acquired Data.ai (formerly App Annie) in 2024, is known for providing trusted mobile market intelligence. With Data.ai’s capabilities, the platform helps track app store rankings, competitor performance, category trends, and overall market health.
The intelligence here isn’t about what’s happening inside your app; it’s about how your app stacks up against others in your category.
Best for: Strategic planning and market benchmarking
Use case: TAM analysis, competitive tracking, ASO insights
7. UXCam and Smartlook: Best for session replay and UX analytics
Both UXCam and Smartlook provide session capture and visual analytics. These tools capture heatmaps, screen recordings, and user sessions, helping teams identify UX issues as they happen and optimize user flows.
Best for: UX designers, QA teams, and product leads
Use case: Debugging, usability testing, onboarding improvement
8. RevenueCat: Best for subscription revenue analytics
If your app is subscription-based, RevenueCat is a great tool to have in your stack. It handles in-app purchase infrastructure and offers clean, visual insights into churn, conversion, and renewal behavior. It enables teams to track metrics like Monthly Recurring Revenue (MRR), Annual Recurring Revenue (ARR), churn rate, and conversion rates with insights that are designed to be actionable.
Best for: Subscription app developers
Use case: Trial tracking, paywall optimization, MRR analysis
How to choose the right mobile app analytics platform
There’s no single tool that does it all, which is why many of the smartest mobile teams build analytics stacks based on specific roles and goals. Here are some of the tools you might consider as you build out yours.
| Use case | Recommended tools |
| Attribution + ad spend | |
| In-app behavior | |
| Subscription insights | |
| UX and user journey | |
| Market research | |
| App Store performance |
But … app analytics tools are only as good as your questions
If you don’t have the right questions, you won’t know the app analytics tools you need to discover the insights to guide you and your team to the necessary improvements. As you begin to consider the analytics you might need, here are some questions you may want to ask:
- Regarding our marketing efforts, do we need attribution, in-app analytics, or both?
- To optimize our monetization efforts – assuming there’s more than one – are we prioritizing subscriptions, IAPs, or ads? How do we find the right balance and optimize for each?
- Which teams will use the data (marketing, product, execs)?
Mobile app analytics solutions won’t single-handedly solve your growth challenges. But once you have the right stack in place, you’ll have access to the insights you need to test, iterate, and scale with confidence.
At Singular, we help mobile marketers connect the dots between spend and revenue, across every channel and device.
If you want to see what you’re missing, book a demo with our team and we’ll help you build the foundation of your analytics stack.