Interpret your analysis, part 1

Amplitude's Event Segmentation chart helps you understand what specific groups of users do in your product. For example, in an event segmentation analysis, you can:

• Identify the top events fired over a selected time.
• Compare event totals to each other.
• View which users fire certain events.

Before you begin

Familiarize yourself with the basics of building charts in Amplitude and with how to create an Event Segmentation chart.

Interpret your Event Segmentation chart

Event Segmentation is Amplitude's most commonly used chart. This article explores these features and explains how to put them to use to generate insights on user behavior.

Breakdown table

Below the chart, a breakdown table appears. By default, Amplitude includes all top values or events in this table, which update automatically when Amplitude receives new top values or events. To turn this off, deselect the segments and then explicitly select the values and events to keep.

Change your chart view

Whichever metric you choose, you have several options for displaying results on the chart.

• The default setting is a basic line chart. Line charts help when looking at the trend of one event for one user category over time.
• Stacked area charts help when looking at data that breaks down into discrete buckets, such as when analyzing multiple events.
• Bar charts help show a distribution of data points or compare metric values across different segments of your data. Bar charts make it easy to see which values are highest or most common, and how specific groups compare against the rest.
• A stacked bar chart shows how broad categories or buckets divide into smaller ones, and the relationship each smaller part has to the overall total.
• A Pie chart displays each result as a percentage of the total.
• KPI displays a grid with the current total values or average values over a time range you select.

If your analysis uses multiple group-by conditions, the resulting visualization can become confusing and hard to interpret.

For example, here the control panel groups the Play Song or Video event by Genre_Type, with segmentation by Country and Platform.

The group by visualization isn't specifically a chart type, but it clarifies your data in these circumstances. With more than one group-by or segmentation, the resulting chart becomes difficult to understand.

Refer to this Help Center article for more information on the syntax and limitations of group-by conditions.

Switch between absolute totals and relative percentages

In stacked area charts and stacked bar charts, you can view your analysis in terms of relative percentages instead of absolute totals.

# Absolute displays the overall user volume, while % Relative gives you the series value divided by the sum of all the series values.

This method counts unique users per event. One user can count more than once if they trigger multiple events within the same time window. This is why the microscope's sum of unique users can exceed the number of unique users overall.

Learn more

Next, learn about the advanced features of segmentation analysis in Amplitude, including averages, windows, and cumulative totals.