Analytics

Learn how to derive insights from Compass, and track user retention

Assess the overall level of engagement of features in your product

Choose the most appropriate way to measure and display the results of your event segmentation analysis

View your Funnel Analysis charts in terms of either improvement over baseline or statistical significance

Effectively and appropriately use causal inference to interpret your Impact Analysis

Analyze conversions between the key transition points in your product

Interpret your cluster cards and identify and name your personas

Understand the purpose of the Retention Analysis chart and familiarize yourself with its interface

Identify the strengths and weaknesses of your approach to new-user monetization

Draw conclusions about user behavior from your Stickiness chart

Create a cohort from your Compass chart results

Interpret the results of your Engagement Matrix chart

Build your funnel analysis following Amplitude's best practices

Understand the benefits of an Impact Analysis chart

Learn the difference between the three different Journey visualizations

Build a cluster analysis of your product's users

Understand how Amplitude calculates retention for different cohorts

Analyze new-user monetization with a time horizon of as much as twelve months into the past

Use events and properties to create a Stickiness chart

Interpret the results of your User Sessions chart

Use the Compass chart to identify the moments in the user journey that are critical to driving growth

Understand how specific touch points are contributing to your marketing outcomes

Understand what your Event Segmentation analysis is telling you

Understand the Retention Analysis chart's usage interval view

Build a user sessions analysis

Build a Compass chart to identify user behaviors that best predict retention

Create a reusable unit of measurement in Amplitude

Use the features of the Measured As Module to customize your analysis

Understand the different ways to measure retention

Build a custom analysis using multiple metrics in several different dimensions

Understand and use custom formulas in Amplitude to create exactly the analysis you need

Understand the different ways time can affect your Retention Analysis chart

Learn how Amplitude decides what results to display in a Data Table chart

Use events and properties to create an Event Segmentation analysis

Plan and design your Funnel Analysis chart

Use legacy metrics to enhance your analyses

Understand how Amplitude computes funnels based on of the order of events, segmentation, and filters

Find thresholds of user behavior that predict retention and lead to growth for your application

Compare and break down events and metrics in a single view

In Amplitude, a cohort is a group of users who share a trait or set of traits.

Understand the overall engagement of features in your product by breadth and frequency

Count and filter events to understand user behavior

Interpret and track your conversions over time

Find statistically significant outcomes of an A/B test

Learn about Amplitude's selection of charts

Understand conversion and drop off for key events

Admins and managers can customize the Home page for each project.

Understand how first-time engagement with one feature affects the rate of another behavior

Analyze sequences of steps taken by users

Break down your user base by New, Current, Resurrected, and Dormant Users

Use Amplitude SQL to directly query Snowflake

Determine clusters of users by grouping those that behave in a similar way

Analyze how often users return to your product

Learn how well you're monetizing your users

Measure how often a user performs an event in an interval to understand which events drive users

Count and filter sessions to understand user behavior