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
Testimonials
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NetSpring is the Holy Grail of product analytics. You don’t have to move your data anywhere.
It sits directly on your data warehouse, looks across all data sets, and supports both traditional BI analysis and modern event-centric product analytics. It is also self-service, so you can expand the reach and impact to everyone in the organization, not just technical teams.
And when it comes to cost, NetSpring is cost-efficient and scales with our business.
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In an increasingly digitized world, it is critical for enterprises to get a deeper analytical understanding of product and customer experiences.
But enterprises struggle to do this well due to a gap between current first-generation product analytics tools, AI/ML, and BI tools. The next generation of product analytics needs to bridge this gap and advance the sophistication of analytics with a simple, user friendly, self-service interface.
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Relative to our peer Web3 companies, NetSpring gives us an important competitive advantage.
With NetSpring working directly on our data warehouse, we now have a view into retention and activation others don’t have. We can track cohort-specific KPIs, then easily build and test hypotheses that are leading to improvements to our platform, especially around the first user experience.
The ability to segment our creators by specific behaviors has helped us identify which segments matter most. This was a level of granularity previously hidden from us.
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The history of analytics is rooted in relational data models and batch SQL querying on data at rest. As the need for temporal, streaming, and event-oriented analytics increased, we saw specialized systems, such as first-generation product analytics, emerge focused on one primary aspect of time-series.
In the process, these specialized systems have lost the analytical power of relational systems.
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A core focus of DCP Midstream is our commitment to operational excellence.
Leveraging NetSpring to analyze real-time data gives our team members key information to prioritize critical work, support quick response, and more effectively serve our customers.
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.
