Mobile App Analytics Setup

What's included

Implementation

• Firebase SDK setup on iOS and Android, or React Native and Flutter where that's your stack
• Event taxonomy aligned to your web schema so cross-platform reporting works
• Automatically collected events reviewed rather than accepted as they come
• Screen tracking with names that mean something in a report
• User properties and user ID for cross-device stitching
• DebugView validation on real devices before you submit a build

Attribution

• Install referrer and campaign attribution on Android
• SKAdNetwork and AdAttributionKit conversion value schema on iOS
• App Tracking Transparency prompt placement and consent handling
• Deep link and deferred deep link tracking
• MMP integration if you run AppsFlyer, Adjust, or Branch
• Web to app journey tracking

Revenue

• In-app purchase and subscription events with validated receipts
• Trial, conversion, renewal, and churn events
• Store revenue reconciled against reported analytics revenue
• Ad revenue reporting where you monetize that way

Reporting

• Combined web and app reporting in one property where that makes sense
• Retention, engagement, and funnel reports built for the app lifecycle
• Crash and performance data connected to your analytics
• Release version segmentation so you can see what a build changed

Why it matters

App analytics breaks differently from web. Events ship inside a binary, so a naming mistake lives until the next release, and the users who never update keep sending the old schema forever. There's no equivalent of fixing a tag in GTM at lunchtime.

That makes the taxonomy work more valuable rather than less. Getting event names and parameters right before submission, and keeping them consistent with your web schema, is what lets you answer one question about the whole customer journey instead of two disconnected questions about two products.