Cross-platform Analytics enable product teams to analyze user behavior across multiple platforms as part of a single project. It gives product teams a clear, uninterrupted, end-to-end view of the customer journey — from acquisition to monetization — without breaking insights by platform.
It’s a powerful step forward for teams building products across ecosystems — helping them move faster, align better, and make decisions based on the full picture rather than isolated data.
The challenge
When apps live on multiple platforms, it’s easy for data to become scattered and hard to interpret holistically.
You may have user activity on iOS, Android, and web — but most tools force you to analyze each platform separately. That means extra dashboards, duplicated events, manual exports, and a limited understanding of how users actually behave across the full journey.
That’s where Cross-platform Analytics comes in.
What’s new
With this release, you can now:
- Create a single project for your app across all platforms
- Analyze users with shared identifiers — track the same person as they move between platforms
- Filter or group by platform only when needed
- See combined metrics like DAU, retention, purchases, and more in one consistent view across the entire user base
This applies across most key reports and dashboards used by product teams daily in devtodev, including Smart View, Labels, Alerts, and User Profiles.
How it works
Cross-platform Analytics introduces a new project type in devtodev, specifically designed for products that operate across multiple platforms.
Instead of analyzing each platform separately, data from all platforms is combined into one unified project.
User activity is connected via a shared identifier, allowing devtodev to reconstruct the full customer journey automatically.
For example, a user may first engage with your product on the web, later install the mobile app, and eventually make a purchase on mobile — and this entire journey is now visible in one place, without manual matching or external tools.
Why it matters
- Holistic product insights: see the full picture of how users interact across devices — not fragmented platform views.
- Smarter decisions: monitor user journeys, segment behavior, and evaluate ROI across platforms to understand what truly drives growth.
- Less manual work: no more juggling multiple projects, exports, or rebuilding dashboards in third-party tools.
The bigger picture
Cross-platform Analytics represents a foundational step toward the comprehensive, user-level understanding that modern product teams require.
It lays the groundwork for future unified workflows — including experimentation, activation, and predictive analytics — across all platforms.
We're just getting started.
Cross-platform Analytics is rolling out now for all customers. Learn more about how it works in our documentation.
Try it out today and share your feedback.