Product Analytics
with your own
data model

Users have the ability to set filters
which impact all analysis charts on
the Dashboard

Unlike read-only dashboards in traditional BI tools, every user can manage our Dashboard in the browser

Visualize results from multiple analyses simultaneously, & create a schedule to distribute a Dashboard snapshot over email

Every chart's definition is easily understandable, with the ability to get a deeper analysis using
the Formula feature

Count users or events across your data schema as time series

Compare aggregations of events or users in a single chart, with customizable dual axis controls

Perform complex measurements of multiple metrics by dividing or adding one to the other – this allows you to create ratios or averages on-the-fly

Utilize named cohorts and funnel results and filters to accelerate your time-to-insights

Compare user behaviors like engagement, conversion, & retention among different cohorts

Perform dynamic cohort analysis with sampling, percentile, compounding, & imported user groups

Export cohorts to drive content or customer engagement campaigns with best-in-class products like Braze

Use cohorts as filters or breakdowns with analysis using our Query, Funnel, Path, & Retention features  

Analyze the conversion rates between multiple steps with details on frequency and time-to-convert

Follow conversion trending over time to understand if product bets are making an impact

And/or functionality with complex filters, including conversion window and partitioning by elements like Session or Transaction IDs

Analyze custom conversion funnels on the fly – enabling true exploration, rather than analysis constrained
by predetermined sequences 

User Pathing diagrams to compare journeys of multiple cohorts, adding or removing steps dynamically to drill into what matters

Analyze side-by-side paths to compare different segments of data breakdowns, cohorts, A/B tests, & other experiments

Forward and backward path analysis allows for flexible exploration

Merge, collapse, & expand metadata to highlight important context

Retention table or curve charts to show the retention rate at different time buckets for each cohort

Analyze both retention and usage interval with over time modes to understand changing behaviors

Identify top user acquisition or engagement campaigns by measuring their impact on retention

Support rolling and unbound time windows for flexible analysis