Stop Guessing. Start Measuring.
Google Analytics 4 samples your data, hiding the truth about your conversion funnels. Mitzu queries 100% of your raw warehouse data for mathematically precise answers.
~2,847
Estimated Conversions
3,142
Actual Conversions
Quantifiable Advantages
See how Mitzu delivers measurably better analytics than GA4.
0%
Sampling Rate
We never estimate your metrics.
∞
Data History
GA4 deletes user data after 14 months. We keep it forever.
Real-Time
Data Latency
No waiting 24-48 hours for standard reports to process.
Traffic Analytics vs. Product Intelligence.
GA4 is a silo that doesn't talk to your backend. Mitzu sits on your warehouse, seamlessly joining web events with revenue and CRM data.
Walled Garden
Data goes in, can't come out
Can't join with backend data
Open Hub
Seamlessly joined data
Join with any warehouse table
Feature-by-Feature Comparison
A comprehensive comparison of capabilities between Mitzu and Google Analytics 4.
| Features | Mitzu | Google Analytics 4 |
|---|---|---|
| Data Architecture | ||
Data Sampling Access 100% of your data without statistical sampling | Heavily Sampled | |
Data Retention How long your historical data is kept | Unlimited | 14 Months |
Warehouse-Native Query data directly in your warehouse without movement | ||
Real-Time Data Access Access data as soon as it's collected | 24-48 hours | |
Data Ownership You own and control all your analytics data | ||
Raw Data Access Direct access to raw event-level data | BigQuery export | |
| Product Analytics Features | ||
Funnel Analysis Track user conversion through multi-step flows | Limited | |
Retention Analysis Measure user retention over time with cohorts | Basic | |
User Segmentation Segment users by behavior and properties | Limited | |
Customer Journey Mapping Visualize complete user journeys across touchpoints | Path exploration | |
Cohort Analysis Analyze user groups based on shared characteristics | Basic | |
Revenue Analytics Track MRR, churn, and subscription metrics | E-commerce only | |
User Lifecycle Tracking Track users across months and years, not just sessions | ||
| Data Integration | ||
Join with Backend Data Combine analytics with CRM, billing, and other data | ||
Stripe Revenue Integration Connect web events to actual revenue data | ||
CRM Data Joins Join with Salesforce, HubSpot, or any CRM | ||
Custom Event Schema Define your own event structure | Limited | |
High-Cardinality Support Handle millions of unique values without grouping | Groups to (other) | |
| Privacy & Compliance | ||
Data Stays in Your Infrastructure Your data never leaves your warehouse | ||
GDPR Compliant by Design Built for privacy regulations compliance | Challenged | |
No Third-Party Data Sharing Your data is not used for advertising | ||
EU Data Residency Keep data within EU borders | ||
PII Handling Secure handling of personal data | VPC Secure | Sent to Google |
Self-Hosted Option Deploy on your own infrastructure | ||
| B2B Analytics | ||
Account-Level Analytics Track how companies use your product | ||
Team/Workspace Tracking Understand usage at the team level | ||
Account Health Scoring Calculate health scores for B2B accounts | ||
Custom Identity Resolution Use your own logic to identify users | Custom SQL | Opaque logic |
| Ease of Use | ||
No-Code Analytics Create insights without writing SQL | ||
Visual Query Builder Point-and-click interface for building queries | Limited | |
Self-Service for Product Teams Product managers can create their own reports | Basic | |
SQL Support Write custom SQL queries when needed | BigQuery only | |
Pre-Built Templates Ready-to-use templates for common analytics | Limited | |
Built for Product Teams
Explore the specific advantages that make Mitzu the better choice for serious product analytics.
Analyze Users, Not Just Sessions.
GA4 is obsessed with "Sessions." Mitzu tracks the full User Lifecycle, letting you connect a web visit today to a subscription renewal 18 months from now.
- Track users across multiple years
- Connect acquisition to long-term value
- Measure true customer lifetime
- Link marketing spend to revenue
User Lifecycle Timeline
Track users across 2+ years
Web Visit
Jan 2024
Signup
Feb 2024
First Purchase
Jun 2024
Renewal
Feb 2025
High-Cardinality Data Table
Every single page path visible
GA4 shows:
(other)
Mitzu shows:
10,000+ rows
The End of Cardinality Limits.
GA4 groups your top pages into "(other)" when you have too many URLs. Mitzu handles high-cardinality data effortlessly, so you see every single page path.
- No "(other)" grouping ever
- Handle millions of unique values
- See every page, product, and user
- True long-tail analysis
Real B2B Analytics.
GA4 doesn't understand "Accounts" or "Teams." Mitzu offers native B2B analytics to track how companies use your product, not just individuals.
- Native account-level analytics
- Track usage by company domain
- Measure account health scores
- Identify expansion opportunities
Usage by Company Domain
Native B2B account tracking
acme.com
142 users
startup.io
87 users
enterprise.co
234 users
techco.dev
56 users
Keep GA4 for Ads. Use Mitzu for Product.
You don't have to rip and replace. Use GA4 for Top-of-Funnel ad attribution, but switch to Mitzu the moment the user signs up to track true product engagement.
GA4
Ad Attribution
Mitzu
Product Analytics
Frequently asked questions
Common questions about choosing between Mitzu and Google Analytics for your analytics needs.
Ready for unsampled product analytics?
See how Mitzu gives you 100% accurate data, unlimited retention, and true product intelligence. Get a personalized demo with your data.