Warehouse-Native Product Analytics
Get insights across all customer touch points.
Pay only for insights, not event volume.
Provide self-service analytics with governance.
TRUSTED BY
The Next Generation of Product Analytics
Next-generation product analytics is warehouse-native, with the analytical power of BI. Watch the video to learn more.
Benefits
Modernize your product analytics stack for a fraction of the cost
Full Business Context
Access any data in the warehouse. Deeply understand the drivers of retention, referrals, and revenue.
Privacy & Security
Your customer data never leaves the warehouse. Maintain a single governed source of truth.
Cost & Maintenance
Simply connect to the warehouse and self-serve. No data movement. Cost not tied to event volume.
Architecture
Product Analytics
in the Modern Data Stack
Best-in-class analytics and instrumentation, centered on the data warehouse. Leveraging the Composable CDP.
Self-serve answers to your next question at the speed of thought
Key Capabilities
Cross-Channel Visibility
- Track journeys across self-serve, marketing, product, sales, and support channels
- Define conditional stages as logical sets of event sequences and/or user properties
- Slice and dice cohorts of users by any data in the warehouse for rich business context
Behavior-Based Segmentation
- Dynamically define behavioral cohorts based on precise sequences and timing of events
- Build high-performing audiences based on desirable behavioral cohorts
- Create data warehouse views of targeted audiences for activation
Customer Journey Analytics
- Understand why certain campaigns or business programs drive user acquisition
- Identify users and behavioral patterns that drive feature-level adoption and retention
- Leverage behavioral cohorts to explain account-level retention and revenue
Unlock more business value from product analytics
Get a complete view of account-level journeys, understand attribution, and unlock cross-functional business insights. Extend your templated funnel, cohort, or retention analysis with the ad hoc analytical power of BI.
Getting started is easy.
Connect to Snowflake, BigQuery, Redshift or Databricks. Be up and running in an hour.
