For small SaaS teams juggling both mobile and web apps, understanding user behavior across platforms is essential—but dealing with complex instrumentation and data pipelines often gets in the way. That’s where cross-platform analytics tools come in. By making it easier to unify event data, these tools allow teams to make better product decisions with less engineering overhead.
TL;DR
If you’re a small SaaS team looking to track user behavior across both mobile and web platforms without the need for complicated code or infrastructure, cross-platform analytics tools are your best friends. The best solutions offer features like automatic event tracking, cross-device identity resolution, and easy dashboard configuration. In this article, we explore the top 9 tools recommended by SaaS teams for their simplicity and effectiveness. Say goodbye to manually wiring up every user tap and click across your tech stack.
Why Cross-Platform Analytics Matters for SaaS Teams
Users are no longer tied to a single platform. They might start engaging with your product on the web, continue via a mobile app, and switch back depending on convenience. For SaaS teams, that means:
- Understanding the full user journey is vital to fine-tuning onboarding, retention, and feature adoption.
- Fragmented analytics pipelines make it harder to see what’s actually working.
- Getting engineering involved in every new tracking initiative slows down experimentation.
The good news is that modern cross-platform analytics tools are getting more accessible—no massive code rewrites or long dev lead times required.
The Best 9 Cross-Platform Analytics Tools
Here are the top tools small SaaS teams are using to merge mobile and web event data with minimal setup and maximum insight.
1. Mixpanel
Best for: Product and growth teams who want deep behavioral analytics without writing SQL.
Mixpanel provides out-of-the-box mobile and web libraries that track users and events seamlessly across platforms. With features like automatic identity merging and live dashboards, teams can easily analyze funnel drop-offs and retention behavior without complex setup.
Highlights:
- Automatic user identity merging across devices
- Visual funnel and retention analysis
- No-code custom events setup
2. Amplitude
Best for: Teams doing deep cohort and segmentation analysis across platforms.
Amplitude excels at tracking the entire customer lifecycle and making it easy to explore behavioral journeys across mobile and web. What sets Amplitude apart is its powerful cohorting and advanced segmentation tools that don’t require SQL or data expertise.
Highlights:
- Cross-platform behavior tracking with identity resolution
- Visual cohort comparisons
- Data governance and schema insights
3. PostHog
Best for: Teams that want full control over analytics in a self-hosted environment.
PostHog is an open-source analytics platform with full cross-platform support. It’s ideal for teams that are privacy-conscious or want completely customizable event tracking without third-party dependencies.
Highlights:
- Automatic event capture with mobile/web SDKs
- Self-hosted and open-source
- Feature flags and session recordings
4. Heap
Best for: Teams that want analytics without planning every single event ahead of time.
Heap automatically captures every interaction on your site or app—from clicks to swipes—so you don’t need to manually tag events first. This is incredibly helpful for small teams with limited dev bandwidth.
Highlights:
- No-code behavior tracking
- Auto-capture on iOS, Android, and web
- Retroactive data analysis
5. Segment (by Twilio)
Best for: Teams looking to integrate analytics across multiple tools and services.
Though not an analytics tool itself, Segment acts as a data pipeline that routes user data collected from mobile and web platforms to tools like Mixpanel, Amplitude, or your own data warehouse. It’s especially useful for syncing identity and event schemas across platforms.
Highlights:
- Cross-platform SDKs for consistent event tracking
- Identity resolution and schema management
- Instant integrations with popular analytics platforms
6. Pendo
Best for: Teams focused on in-app guidance and product feedback as well as analytics.
Pendo combines behavioral analytics with in-app messaging and user surveys. It tracks users across mobile and web, while letting teams deploy in-app guidance without needing code changes. Ideal for improving onboarding and feature adoption metrics.
Highlights:
- Unified behavior tracking and feedback tools
- Cross-platform SDKs
- Segmented in-app user messages
7. Firebase Analytics
Best for: Teams building mobile-first apps that also have a web presence.
Firebase, part of Google’s app development suite, offers real-time analytics tied to Google’s broader ecosystem (Search Console, AdMob, BigQuery, etc.). It’s built for mobile-first apps but integrates smoothly with web data sources using the GTM or gtag.js framework.
Highlights:
- Native mobile SDKs with minimal setup
- Custom dashboard creation with BigQuery and Looker
- Integrates with crash reporting and performance monitoring
8. RudderStack
Best for: Engineering teams looking to build a custom data pipeline.
Like Segment, RudderStack acts as a customer data platform that captures event data from both mobile and web apps and forwards it to analytics destinations. The major advantage is its open-source core and flexibility in handling sensitive or PII data.
Highlights:
- Open-source with self-hosting option
- Mobile and web SDKs
- Warehouse-first architecture for advanced analytics
9. Smartlook
Best for: Teams that want to combine event tracking with session replays and heatmaps.
Smartlook records users’ sessions and captures behavioral data across mobile and web—making it an ideal tool to actually see why users are dropping off or struggling. It integrates well with product and UX teams and cuts down time to insight.
Highlights:
- Session recording on mobile/web with event timelines
- Custom dashboard builder with filtering
- Works retroactively—set events after recordings
What to Look for in Cross-Platform Analytics Tools
When evaluating tools to unify your mobile and web analytics stack, consider these features:
- Identity resolution: Can the tool track users even if they switch devices or sign in later?
- Ease of integration: Will it slow down your dev team or is it plug-and-play?
- Scalability: Can it handle growing traffic and increasingly complex user journeys?
- Reporting flexibility: Are dashboards and data exports powerful enough to answer vital product questions?
- Privacy & compliance: How does it handle cookies, consent, and user data policies?
Wrap Up: Simplify, Unify, Analyze
You don’t need a data engineering team to get rich behavioral insights across platforms. The right tool allows small SaaS teams to track, analyze, and iterate with confidence—freeing up more time to ship features and reduce churn. Whether you’re just getting started or looking to graduate from a patchwork of scripts and spreadsheets, these 9 tools offer a smart starting point.
Pick one that fits your tech stack and team size, and start learning from your users—wherever they choose to click, tap, or swipe.