PRODUCT OVERVIEW

Analyze Every Step of the Customer Journey

With Kubit, capture full customer journey analytics directly from your existing data warehouse. No data ingestion or duplication.

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Key Features:

Time Series Analysis

Visualize metrics over time using Kubit’s Query report. You can break down metrics by valuable data points to quickly surface high and low performance. Drill deeper into each data point for granular information. Data can be visualized using line bars, stacked bars, or pie charts.

Funnel Conversion

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.

User Retention

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.

Behavioral Cohorts

Further analyze individuals contained within your data points. You can create cohorts on the fly or by defining them in the Cohort builder. Once a cohort is created, you can reuse it as a segment in any analysis, compare two cohorts, or sync them to a third-party tool to drive targeted outreach.

“With Kubit, if I have a question pop into my mind about user behavior, within a minute or two, I can get an answer.”

Randall Britten

Senior Data Scientist

“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

“Kubit has reduced the workload of my team. It’s so nice to have a truly self-service tool, one where we can teach the Product Managers ‘how to fish,’ so they can then work on their own—whether that’s monitoring certain activities by themselves, or digging into specific user actions that might be really important to them.”