Event Segmentation
Count and filter events to understand user behavior
Funnel Analysis
Understand conversion and drop off for key events
Retention Analysis
Analyze how often users return to your product
Data Tables
Compare and break down events and metrics in a single view
Journeys
Analyze sequences of steps taken by users
Experiment Results
Find statistically significant outcomes of an A/B test
Revenue LTV
Learn how well you're monetizing your users
Compass
Find thresholds of user behavior that predict retention and lead to growth for your application
Stickiness
Measure how often a user performs an event in an interval to understand which events drive users
Personas
Determine clusters of users by grouping those that behave in a similar way
Impact Analysis
Understand how first-time engagement with one feature affects the rate of another behavior
User Sessions
Count and filter sessions to understand user behavior
Engagement Matrix
Understand the overall engagement of features in your product by breadth and frequency
Lifecycle
Break down your user base by New, Current, Resurrected, and Dormant Users
Other Charts
Use Amplitude SQL to directly query Snowflake
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May 30th, 2024
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