Deliver great digital experiences

Get deep understanding of complete customer journeys. NetSpring helps you analyze product and customer data across all channels, to deliver the best customer experience and business outcomes.

Cross-channel customer insights you can trust and act on

Understand the entire customer journey – online and offline. Visualize customer journeys by any segment or attribute. Deep-dive to understand drivers for conversion and churn. NetSpring works off your single source of truth in the warehouse to provide trustworthy insights that you can act on with confidence.



View the entire customer journey

Explore the end-to-end customer journey across channels, using a rich library of reporting templates.

  • Connect omni-channel data into a complete customer journey over time
  • Study customers experiences across your web pages, applications, call center, and in-person
  • Easily test hypothesis around conversion, engagement, and churn, to identify friction points and opportunities across channels

Answer the next question

Fork off from templated reports to self-service ad hoc visual exploration, to answer the next question in minutes.

  • Identify where and why you are gaining or losing customers
  • Pinpoint effectiveness of marketing campaigns down to individual assets
  • Slice-and-dice to breakdown metrics by cohorts and attributes, to understand behavioral patterns

Instant insights across the organization

Consistent, trustworthy insights for all teams associated with customer interactions.

  • Quickly see key customer experience metrics and trends over time
  • Compare metrics for cohorts across any customer dimension
  • Self-serve and collaborate with an intuitive UI, and without SQL or dependence on data teams

Tie marketing and product initiatives to revenue

Understand the true business impact and ROI of marketing and product initiatives.

  • Measure the impact on marketing campaigns on not just acquisition but also on revenue and customer lifetime value
  • Identify product features that drive engagement and upgrades, resulting in increased revenue
  • Self-serve without waiting for custom reports from data teams

Keep a pulse on your customer experience

Track your customer experience with continuous KPI monitoring.

  • Monitor and alert on customer experience degradations
  • Identify and alert on opportunities for upsell or cross-sell
  • Collaborate with team members to root cause and fix issues

Leverage the power of your data warehouse

Take advantage of all the rich data available in your secure, trustworthy, single source of truth – your data warehouse.

  • Reflect the data model of web pages, applications, chat, call center, store, loyalty programs, surveys, subscriptions, payments etc. for deep and accurate analytics
  • Employ flexible identity resolution, profiling, and attribution models natively in the warehouse that any application can consume
  • Activate audiences directly from the warehouse for more effective context-rich targeting

Unlock more business value from your product and customer data

Learn why companies are upgrading their analytics platforms.

Read the Blog


  • Ergatta Logo

    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
  • Bonfire Logo

    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
  • Zoom Logo

    In subscription businesses, you have to closely follow the customer lifecycle. You may be looking at feature adoption or churn, at how to create more value, or how to make customers aware of new products. 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
  • MailChimp Logo

    You would think that if I handed you a product analytics platform, I would be excited PMs are looking at retention rate. But only half of the cancellations happened inside the product. The other half happened because somebody picked up a phone to cancel.

    No events were ever created, and as such, our retention curves were materially misstated. That immediately starts to undermine the credibility of any first-generation tool.

    John Humphrey, Former Head of Data Platform Product
  • Insta Cart Logo

    How can we make the experience of buying groceries on Instacart not just more convenient, but also more efficient and delightful than shopping in the store?

    To inspire product strategy, we spend a lot of time trying to understand patterns of shopping so we can build personalized experiences.

    Anahita Tafvizi, VP and Head of Data Science & Business Operations
  • Asana Logo

    Our product managers and growth managers rely heavily on data to see how customers are using the platform. How frequently are they using? What capabilities are they using? Which capabilities are resonating more or less them them.

    That informs our product roadmap.

    Saket Srivastava, CIO
  • Revifi Logo

    Cloud data warehouses like Snowflake, Redshift, BigQuery, Databricks, and Azure have become the de facto place where businesses pull data out and use it for a business purpose.

    So the more compute you push on the cloud data warehouse, the closer it stays to the ecosystem, and the easier it is for anyone to even consume such a system.

    Sanjay Agrawal, Co-Founder & CEO
  • Neon Logo

    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
  • Rudderstock Logo

    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
  • Simon Logo

    True centralization aggregates data from all channels, not just what someone clicked on the website: offline, IoT, support, etc.

    Let’s have shipping and returns data, and everything else that is required to properly instrument a real business – put in a single place, which is governed, secure, complete, and accurate.

    Jason Davis, Founder & CEO
  • DCP Logo

    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

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