Enterprises make significant investments in centralizing their data to understand the full journey of a customer. Why send it out to a third party to be analyzed?
Get the most out of your governed data warehouse with Kubit’s purpose-built self-service reports.
Key features
Time Series Analysis
Visualize metrics over time and break down to analyze performance.
Funnel Conversions
Understand how customers are converting through key flows within your product.
Behavioral Cohorts
Create cohorts on the fly to further analyze individuals contained within your data points.
User Paths
Customize a user path based on the experience or the audience to understand customer experience.
User Retention
Measure your product’s stickiness by analyzing both retention and usage intervals.
Kubit customer analytics
Get a peek into Kubit and explore product analytics features such as engagement, user paths, conversion, retention, and cohort analysis.
Trusted By
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.
Use Cases
eCommerce
See average revenue per user by brand or country to understand high or low performance.
Streaming
Contrast percentage of total minutes watched by new users against existing users to understand how much impact they have.
B2B
Report on all businesses and their engagement metrics sliced by any characteristic.
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.
Use Cases
eCommerce
Identify points of friction within the purchase funnel and react quickly to respond to customer need.
Streaming
Compare new user onboarding to their first watch by various marketing campaigns to understand which is performing best at driving engagement.
B2B
Measure feature adoption for an entire organization or by each user to better predict customer health and retention.
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.
Use Cases
eCommerce
Understand long and short term retention of users who purchase items with a coupon or promotional code and see if that truly increased their likelihood of additional purchases.
Streaming
Learn about “binge watchers” and what subset of users you may want to exclude from future marketing campaigns, saving dollars and resources.
B2B
Visualize the Monthly Churn metric broken down by customer tier to understand what area could need intervention to mitigate churn. Once identified, you can segment those with high churn potential by the core features they leverage and understand their impact.
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.
Use Cases
eCommerce
Create cohorts from dropped-off users and retarget them to send a push motivating them to complete their purchase.
Streaming
Target a group that has high affinity for a specific content group and promote new content to drive engagement.
B2B
Build a robust cohort that aims to target users that have not engaged in a new feature and visualize their paths through the product to best place in-product messages.
User Paths
Paths are some of the most powerful ways to understand exactly what is happening within the majority of your users’ experiences. Customize a path in Kubit based on the experience or audience, or break down two paths to see them side-by-side. Paths are visualized using pathing, top paths, and path adjustment to remove noise.
Use Cases
eCommerce
View the top paths of users who go from a product page to checkout and ensure the path is clear—or see if they are getting lost.
Streaming
Visualize paths of iOS vs. Android users to identify why one platform performs better than the other.
B2B
If a new user sign-up flow is particularly complex, use path analysis to identify which steps could be consolidated and when users exist without completing all items.
Kubit product analytics
Give your team easy access to product analytics without disrupting your data warehouse strategy. Contact us to book a demo.
“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, Influence Mobile