This article helps you:
Interpret the results of your Lifecycle chart
Switch between chart types
Track the Growth of Your User Base with Lifecycle
Learn to measure the change in your product’s active user base over time.
Learn Lifecycle AnalysisThis article explains how to interpret your Lifecycle analysis. Make sure you've read the previous Help Center article on setting up the Lifecycle chart before proceeding.
The Lifecycle chart's default display is a histogram with two buckets for each of your usage intervals. The blue buckets contain active users, while the red bucket contains dormant users.
This is your Growth chart. It shows the distribution of active users and the count of dormant users for a particular day, week, or month. This allows you to see which group of users affects your active user counts the most.
All your active users fall into one of three groups: new, current, or resurrected (formerly inactive). Each of these groups is represented in the different shades of blue in the histogram's blue bar. Here's how the three active user groups are defined:

You also have dormant users, represented by the red bar. A dormant user is one who didn't log the event you've specified, but who had logged the specified event during the previous time period (day, week, or month). For example, Amplitude considers a user who was active on January 1st but wasn't active on January 2nd a dormant user on January 2nd.
Below the chart is a breakdown table of lifecycle data. You can export the data table as a .CSV file by clicking Export CSV.

There are also two other views for your Lifecycle chart: Dormant and Pulse.
The Dormant chart shows the distribution of dormant users for a particular day, week, or month. For example, a dormant new user during Oct 8 - Oct 14 is a user who was new during Oct 1 - Oct 7, but became dormant on October 8.

The Pulse chart shows the ratio of incoming (new and resurrected) users to outgoing (dormant) users for a particular day, week, or month. The ratio shows how many active users you gain for each user who goes dormant.
Specifically, Pulse uses the following formula:
(# of new users + # of resurrected users) / (# of dormant users)
Broadly speaking:
For example, in the chart below, pulse was 0.96 during the week of Oct 8 - Oct 14. This means you lost more users in that interval than you gained or resurrected.

October 31st, 2025
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