Mobile Analytics Without the SDK Bloat.
Analyze iOS and Android user behavior directly from your data warehouse. Use your existing pipelines (Segment, Firebase, Rudderstack) and get instant product insights without slowing down your app.
Mobile Analytics
Last 7 days
Daily Active Users
24,847
+12.4% vs last week
D7 Retention
34.2%
+2.1% improvement
Avg Session
8m 24s
+45s vs last week
Trusted by mobile-first companies
The Warehouse-Native Advantage
Stop adding bloat to your app. Start analyzing with the data you already have.
No New SDK Required
Don't increase your bundle size. Mitzu reads the event data you already collect in your warehouse via tools like Segment or Firebase.
Cross-Platform Identity
Seamlessly join mobile events with web sessions and backend server logs. See the complete user journey across all devices.
Unlimited History
Most mobile tools cap your data history. Mitzu analyzes years of retention data directly from your cold storage in Snowflake/BigQuery.
Your Existing Pipeline, Supercharged
Mitzu connects directly to your warehouse. No new SDKs, no data movement, no maintenance burden.
Your App
iOS / Android
Your Pipeline
Segment / Firebase / Rudderstack
Your Warehouse
Snowflake / BigQuery
Mitzu
Instant Insights
From App Store to Web Login.
Track users who install the app, browse on mobile, and later convert on desktop. Mitzu's warehouse-native join logic handles complex cross-device identity resolution automatically.
- Automatic identity stitching across devices
- Join mobile events with web and backend data
- Visualize the complete conversion path
- Attribute revenue to mobile touchpoints
Cross-Platform User Journey
App Install → Conversion
Feature Adoption by Version
Last 30 days
v2.3.0 Final
46%
v2.4.0 Final
78%
+32% improvement
Monitor Rollouts in Real-Time.
Did v2.4.0 improve engagement? Compare feature adoption cohorts by App Version to see exactly how your latest release is performing.
- Compare metrics across app versions
- Track feature flag rollout performance
- Identify regression instantly
- Segment by OS, device, and version
Solve Mobile Churn.
Mobile churn is high. Identify exactly where users drop off—is it the tutorial? The permission prompt? Isolate the step and fix the leak.
- Cohort retention heatmaps
- Identify drop-off points by funnel step
- Compare retention by acquisition channel
- Track improvements over time
Mobile Retention by Cohort
Weekly cohorts, % returning
| Cohort | D0 | D1 | D3 | D7 | D14 | D30 |
|---|---|---|---|---|---|---|
| Jan 1 | 100% | 42% | 28% | 18% | 12% | 8% |
| Jan 8 | 100% | 45% | 31% | 22% | 15% | 11% |
| Jan 15 | 100% | 48% | 35% | 26% | 19% | 14% |
| Jan 22 | 100% | 52% | 38% | 29% | 22% | - |
| Jan 29 | 100% | 55% | 42% | 32% | - | - |
Day 1 retention improving
+13% since Jan 1 cohort
Up and Running in Minutes
No complex integrations. No SDK changes. Just connect and analyze.
1. Ingest
Send mobile events to your warehouse via Segment, Rudderstack, or Firebase BigQuery Export. Keep using your existing data pipeline.
2. Connect
Point Mitzu to your mobile event tables. Map events and properties to create an analytics catalog in minutes.
3. Analyze
Instantly visualize user flows, retention, and cohorts. Share dashboards and collaborate on mobile metrics.
Simple Integration, Powerful Insights
Follow these steps to start analyzing your mobile app data.
Ready to analyze your mobile app?
Stop adding SDK bloat. Start getting insights from the data you already collect. Connect your warehouse and analyze mobile behavior in minutes.