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WAREHOUSE-NATIVE

Product and Customer Journey Analytics

Cost-effective, trustworthy analytics on the single source of truth – your warehouse. Business-impactful analytics across all your product and customer data.

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Warehouse-native for

TRUSTED BY

Why choose warehouse-native tools like NetSpring?

Traditional, non warehouse-native tools like Amplitude, Mixpanel, Heap, Adobe

Limited feature usage analytics working off just product data (user interactions in product).

Data silos with some data in the warehouse and some in black-box SaaS services of non warehouse-native vendors.

Fragmented, inconsistent analytics across data silos – the “numbers don’t add up” problem. Lack of trust in metrics.

Significant cost in managing product analytics and BI tools, with recurring need to rationalize inconsistencies across them.

High TCO with error-prone ETL and reverse ETL to/from data warehouse

Low ROI with data volume-based pricing that is disproportionately high compared to value.

Heavy dependence on data teams for business users to get deeper insights that involves data outside of the product silo.

Security, privacy and governance risks with critical user data outside of the secure enterprise environment.

Traditional, non warehouse-native tools like Amplitude, Mixpanel, Heap, Adobe

Limited feature usage analytics working off just product data (user interactions in product).

Data silos with some data in the warehouse and some in black-box SaaS services of non warehouse-native vendors.

Fragmented, inconsistent analytics across data silos – the “numbers don’t add up” problem. Lack of trust in metrics.

Significant cost in managing product analytics and BI tools, with recurring need to rationalize inconsistencies across them.

High TCO with error-prone ETL and reverse ETL to/from data warehouse

Low ROI with data volume-based pricing that is disproportionately high compared to value.

Heavy dependence on data teams for business users to get deeper insights that involves data outside of the product silo.

Security, privacy and governance risks with critical user data outside of the secure enterprise environment.

Warehouse-native tools like NetSpring

Deeper analytics across product data and all customer business data (campaign, account, support etc.) to understand business impact of features, and drivers for adoption, engagement, and retention.

Single repository for all data – the enterprise data warehouse or data lake.

Fully auditable and trustworthy analytics on the single source of truth. Confidence in publishing metrics to C-suite.

Simplicity of managing a single analytics tool for product analytics and BI, that works directly off the data warehouse. No inconsistencies in data.

No ETL or reverse ETL needed.

Significantly lower usage-based pricing leveraging inexpensive storage and elastic compute of modern cloud data warehouses.

More self-service by business users to get deeper insights across all data in the warehouse.

Leverage existing security, privacy, governance, and quality checks of data in the central enterprise data warehouse.

Warehouse-native tools like NetSpring

Deeper analytics across product data and all customer business data (campaign, account, support etc.) to understand business impact of features, and drivers for adoption, engagement, and retention.

Single repository for all data – the enterprise data warehouse or data lake.

Fully auditable and trustworthy analytics on the single source of truth. Confidence in publishing metrics to C-suite.

Simplicity of managing a single analytics tool for product analytics and BI, that works directly off the data warehouse. No inconsistencies in data.

No ETL or reverse ETL needed.

Significantly lower usage-based pricing leveraging inexpensive storage and elastic compute of modern cloud data warehouses.

More self-service by business users to get deeper insights across all data in the warehouse.

Leverage existing security, privacy, governance, and quality checks of data in the central enterprise data warehouse.

Testimonials

  • 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.

    Chang Yu, VP of Product
  • 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.

    Matt Alston, Co-Founder & CEO
  • In subscription businesses, you have to closely follow the customer lifecycle. You may be looking at feature adoption, churn, at how to create more value, or how to make customers aware of new products and offerings. And internally, for sales, marketing, or customer support departments – providing insights.

    Basically with this cloud architecture we have an ability to look at product telemetry data as well as business transaction data. The magic is when we intersect these and do cohort analysis. We can slice and dice from many different perspectives, and that’s where the insights come.

    Awinash Sinha, CIO
  • Amplitude and Mixpanel are basically a time series database underneath, with a UI. Time series data tends to be write once.

    You need to take advantage of those techniques data warehouses are born with. It makes sense to put this into a data warehouse, rather than a custom database like Datadog, Mixpanel, or Amplitude. Plus you have additional benefits from it because you can cross reference that data with the rest of the business data.

    Nikita Shamgunov, Founder & CEO
  • We want to look at product funnels and customer journeys, but then combine that with Salesforce data. But it was surprisingly hard to do with a lot of these cloud product analytics tools. They’re only designed to ingest a specific kind of data. And if you want to combine other data sources, it becomes really fragile and complicated to set up those data pipelines.

    Warehouse-native enables that and unlocks that set of use cases. Why do you need to ship everything to another vendor to do specific parts of your analytics? It just does not make good sense.

    Soumyadeb Mitra, Founder & CEO
  • 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.

    Rob Sadler, Group Vice President of Energy, Transition & Transformation

Plans to Power Your Growth

Team

For individuals and small teams

$49

/ month / seat

Unlimited MTUs

Unlimited Events and Data

Billed Monthly

Get Started

Includes:

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Up to 5 seats

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14-day risk-free trial

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Product analytics templates

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Dashboards

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Behavioral cohorts

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Community support

Growth

For growing businesses

$95

/ month / seat

Unlimited MTUs

Unlimited Events and Data

Billed Annually

Get Started

Includes:

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14-day risk-free trial

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Product analytics templates

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Dashboards

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Custom metrics

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Ad hoc data exploration

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Event taxonomy

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16 hours onboarding

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Slack channel support

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5 seats minimum

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Volume discount available

Enterprise

For enterprises

Unlimited MTUs

Unlimited Events and Data

Contact Us

Everything in Growth, plus:

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Performance pack

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Alerts and notifications

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Access control

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Audience activation

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Collaboration

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Enterprise SSO

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Regional data centers

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Customer VPC deployment

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Enterprise level support

Getting set up is easy.

Connect to Snowflake, BigQuery, Redshift or Databricks. Be up and running in hours.

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