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ANALYTICS

Connect a Self-Service Product Analytics Platform to Any Data Warehouse

Get deeper insights into user interaction with your digital product to increase conversion, engagement, and retention.

What our customers are saying

“Within a month of onboarding Kubit we were able to analyze and improve our onboarding flows, increasing ROI by over 30%, which paid for the whole year of service many times over.”

Daniel Todd

CEO

Why product analytics?

Your data warehouse contains a wealth of data about the full journey and experience of your customer. Product analytics puts that data to work for you, so you can understand the features and behavior that drive growth, or churn. With access to user behavior data such as user paths, feature engagement, funnel conversions, and behavioral cohorts, you gain the insight needed to optimize your product based on your customers’ needs, interests, and preferences.

Use your data warehouse and data model of choice

Kubit delivers live insights from your custom data model and leverages your clickstream events with operational data dynamically, with zero-ETL.

USE CASES

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Your single source of truth

Kubit leverages the data set that is in your data warehouse, so you can have complete confidence in the insights to make smarter decisions, faster.
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More conversions

Kubit helps you identify what works well and what doesn’t by comparing different conversion funnels, so you can optimize the user experience.
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Higher engagement

Kubit analytics reveal which product bets drive best engagement, guiding product teams to release new content or features sooner, or not at all.

Kubit product analytics

Give your team easy access to product analytics without disrupting your data warehouse strategy. Contact us to book a demo.

Resources that might be useful for you

Frequently asked questions

Typically, we see most customers go from kick-off to data available in Kubit within two weeks. This is heavily dependent on the state of your data, of course. But, due to Kubit’s warehouse-native architecture, we have unique advantages in working with unstructured data and can overcome those challenges.

We support Snowflake, Databricks, Google Big Query, Amazon Redshift, and Azure, plus many more. Click here for more information.

Analysis in Kubit provides the breadth and depth to accomplish a variety of use cases such as (but not limited to): 

  • Time series analysis: Uncovering user engagement
  • Funnel conversions: Optimizing conversions and identifying friction points
  • Behavioral cohorts: Creating, comparing, and communicating with the right audience at the right time
  • User pathing: Exploring how users navigate and engage
  • User retention: Helping to answer questions about how, when, and why users come back

Kubit provides far more flexibility than any other traditional product analytics tools to access and utilize a complete dataset for analysis purposes.

 

This data can include, but is not limited to, behavioral data, clickstream data, operational data, and offline data. It can come from Sales, Marketing, Product, Support, Finance, Operations, etc.

We offer simple and predictable pricing based on monthly tracked users (MTUs). We align your analytics investments with the goal to grow and retain your user base. Click here for more information.

Kubit has several resources—self-service and human beings—to support your team’s adoption of product analytics. All customers have access to a dedicated CSM and technical support for any implementation or integration questions. Additionally, we offer in-product chat support, a regularly updated Help Center, training videos, release notes, and technical documentation to aid in self-service support needs.

Security and compliance are essential aspects of our business. Kubit seamlessly integrates with your existing data warehouse, which eliminates data silos and provides customers with a single source of truth. As an official vendor to all data warehouses, we undergo rigid review processes to validate our security and privacy framework. Click here for more information.

Other product analytics vendors such as Heap and Pendo also require you to send your data outside your warehouse and extend resources to bring it back in, and therefore, devalue the investments you made in your cloud data warehouse.