Mitzu
UnclaimedCustomer journey analytics directly from your data warehouse for accurate, trustworthy insights.
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TL;DR - Mitzu
- Provides customer journey analytics directly from your data warehouse.
- Enables self-service analytics for non-technical teams without SQL.
- Ensures data accuracy, privacy, and cost predictability by avoiding data movement.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Eliminates data movement, ensuring 100% data accuracy and compliance.
- Empowers non-technical teams with self-service analytics, reducing reliance on data teams.
- Offers predictable costs with unlimited tracked events and users.
- Maintains full data ownership and security by operating directly within the data warehouse.
- Integrates quickly with major data warehouses.
Cons
- Requires an existing data warehouse for integration.
- Pricing for the Enterprise plan is custom and not publicly listed.
- Advanced features like API access and SSO are exclusive to the Enterprise plan.
Key Features
Warehouse-native connection (Snowflake, BigQuery, Databricks, Firebolt, Fabric, Athena, Redshift, Clickhouse, Trino, PostgreSQL)Unlimited tracked events and usersFunnels analyticsUser segmentation (behavioral cohorts, properties)Customer journey visualizationRetention analysisDashboards for grouping insightsFormulas for derived values
Pricing Plans
Free TrialGrowth
$990/mo
- Unlimited tracked events & users
- Up to 10 editors
- 1 workspace
- Unlimited dashboards
- Unlimited saved insights
- Unlimited viewers
- Built-in data privacy
- Account analytics
- Marketing and product analytics features
- Self-service UI
- A/B testing analysis
- Warehouse-native connection
- Standard support
Enterprise
Contact Sales
- Unlimited tracked events & users
- Custom number of editors
- Custom number of workspaces
- Unlimited dashboards
- Unlimited saved insights
- Unlimited viewers
- Everything from Growth
- API access
- SSO
- Private VPC link
- Feature prioritization
- Self-hosting option
- Enterprise and dedicated engineer support
- Whiteglove onboarding
- Custom POC supported
- SLA
About Mitzu
By Toolradar Team·
Mitzu provides customer journey analytics directly from an organization's existing data warehouse, eliminating the need for data movement and ensuring 100% data accuracy and compliance. It empowers non-technical teams to perform self-service analytics, including funnels, segmentation, journey mapping, and retention analysis, without writing SQL. This approach reduces data-related requests and accelerates insight generation.
The platform is designed for various industries such as e-Commerce, Media, Travel, B2B/B2C SaaS, Gaming, and Fintech, helping them understand shopping journeys, track audience engagement, map traveler paths, analyze user retention, segment players, and optimize conversion funnels. By leveraging the data already trusted within the data warehouse, Mitzu offers a cost-effective and secure solution for scaling analytics capabilities, providing full autonomy for business users while maintaining data ownership and privacy.
How we evaluate tools →Source: mitzu.io
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Mitzu FAQ
How does Mitzu ensure data privacy and compliance without storing customer data?
Mitzu operates directly within your existing data warehouse, meaning it does not store or transfer your data to external systems. This architecture ensures that your data remains 100% secure and compliant with privacy standards, as you retain complete ownership and control over your business and usage data within your own infrastructure.
Can non-technical users create complex analytics like funnels and retention reports without SQL knowledge?
Yes, Mitzu is specifically designed to provide full autonomy for non-technical teams. Its self-service UI allows users to create insights such as funnels, segmentation, journey maps, and retention reports directly from the data warehouse without writing any SQL queries, enabling faster decision-making.
What data warehouses does Mitzu natively support for integration?
Mitzu offers native connections to a wide range of popular data warehouses, including Snowflake, Google BigQuery, Databricks, Firebolt, Microsoft Fabric, Amazon Athena, Amazon Redshift, Clickhouse, Trino, and PostgreSQL. Integration is typically completed within minutes.
How does Mitzu's pricing model handle increasing data volumes and user activity?
Mitzu's pricing is seat-based and predictable, including unlimited tracked events and users across all plans. This model allows organizations to scale their analytics capabilities as data volume increases without incurring additional costs for data ingestion or storage, leading to significant cost reductions compared to third-party analytics tools.
Beyond standard product analytics, what specific B2B or revenue-focused insights can Mitzu provide?
Mitzu offers dedicated B2B analytics capabilities, allowing users to look into product and marketing insights for individual accounts. It also includes revenue analytics features to calculate metrics such as Monthly Recurring Revenue (MRR), subscriber count, and changes in MRR or subscribers, even segmenting MRR by user segments.
Is it possible to host Mitzu within our own cloud environment for enhanced control?
Yes, for Enterprise plan customers, Mitzu offers a self-hosting option. Upon agreement, Mitzu can be hosted under the customer's own cloud account, providing an additional layer of control and integration with existing infrastructure.
Source: mitzu.io