Any Amplitude analysis begins with selecting the right chart for the job. This article provides a short summary explanation of all Amplitude's chart types and the types of analysis they're best suited for.
For more information on any chart described here, see the Working with charts section of our Help Center.
Know your users
Use this chart to compare or segment your events by user properties or event properties, over a selected time frame. Depending on your Amplitude plan, you can also view your data in real-time, with a frequency of hourly, daily, weekly, monthly, or quarterly.
Data Tables enable multi-metric, multi-dimensional analyses in a single view, allowing you to quickly analyze any combination of user behavior, user attributes, and metrics.
This chart shows the breakdown of active users based on a single user property.
The User Sessions chart helps you analyze your users through various sessions-based metrics.
The Personas chart will automatically group similar users into different clusters. Amplitude determines which users belong in each cluster based on how often they trigger various events. Thus, Personas charts are frequency-based, and are not based on pre-specified rules.
The Experiment Results chart allows you to create an A/B test and helps to identify statistically significant outcomes.
Convert your users
A funnel analysis explores how users are successfully navigating a defined path in your product. It will also show you where there is a drop-off.
The Engagement Matrix will enable you to identify features that aren't performing well, so you can either refactor or deprecate them, and the features that are performing best, so you can find ways to extend that engagement to other areas of your product.
The Impact Analysis chart helps you discover how first-time engagement with one feature affects the rate of another behavior.
Pathfinder shows all the events and sequences of events that users take within your product during a specified time, measured by event totals.
The Pathfinder Users chart shows all of the events and sequences of events that users take within your product during a specified time, measured by user or session count.
Retain Your Users
A Retention chart will show you how often users are returning to your product after firing an initial event. This information is essential to understanding if users are coming back to your product or not.
Stickiness measures the number of days a user performs an event in a weekly or monthly interval. It's designed to identify the events driving users back to your product.
Compass helps you find thresholds of user behavior that may predict long-term retention and ultimately lead to growth for your application.
A Lifecycle analysis breaks out your active users into new, current, and resurrected categories, as well as offering a count of your churned users.
A Revenue LTV chart displays the lifetime value of your users, based on the date they became new users.