KUBIT VS MIXPANEL VS AMPLITUDE​

Investigate Customer Insights with Confidence​

Agile product analytics using your own data model

Compare Kubit to Mixpanel and Amplitude

Product analytics
Collaboration features
True warehouse-native architecture
Connects to all cloud data warehouses
Implementation in less than 30 days
Generates optimized SQL for analytics
Exposes SQL behind every report
Get Started

Compare Kubit to Mixpanel and Amplitude

Product analytics
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  • Time Series Analysis
  • Funnel conversion
  • Behavioral Cohorts
  • User Paths
  • User Retention
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Collaboration featuresIncludedIncludedIncluded
True warehouse-native architectureIncluded Not Included Not Included
Connects to all cloud data warehousesIncluded Not Included Not Included
Implementation in less than 30 daysIncluded Not Included Not Included
Generates optimized SQL for analyticsIncluded Not Included Not Included
Exposes SQL behind every reportIncluded Not Included Not Included
Get Started
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Warehouse-native analytics you can trust​

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Scalable​

Kubit product analytics makes it easy to expand and manage more complex use cases. Scale your analytical model through measures, filters, cohorts, and other governed components within Kubit. Gain confidence in the accuracy and completeness of insights because the full data set is actionable and immediately accessible.

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Secure​

Understand how customers are converting through key flows within your product. Within a funnel, you can see drop-off and conversion metrics with the ability to break down or segment funnels based on additional data. Data can be visualized using traditional conversion, conversion over time, and frequency before conversion.

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Compliant​

Learn which users return, or never come back to utilize core features and how consistently they retain in the following days. You can construct a retention model that fits your needs as well as decide how you want to visualize this critical metric whether it be retention or churn rates. You are able to analyze your Retention Model as a standard retention curve, retention over time, or usage intervals.

Kubit product analytics​

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

Kubit product analytics use cases

Find out which user behaviors lead to higher lifetime value and how to retain and grow your user base.

See which product bets drive best engagement and create power users within your product

Learn how users convert through critical funnels within your product and how to resolve areas that lead to drop off.

Understand which product bets and content to play up and which to sunset.

Get up-to-date insights into how your marketing campaigns are performing and how they’re affected by changes to your product and content.

Create targeted groups of users to dive deep into what is driving their behavior and sync cohorts with Marketing and CDP tools to activate targeted marketing campaigns or in-product experiences.

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What our customers are saying

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.