This article helps you:
Understand the benefits of a lifecycle analysis
Set up a Lifecycle chart
Amplitude's Lifecycle chart gives you a quick, easy-to-understand overview of the growth of your product's user base over time. It does this by breaking out your active users into subgroups: new, current, and resurrected (formerly inactive) users. All your total active users will fall into one of these categories. It will also show you a count of your inactive, dormant users.
Much of the power of a lifecycle analysis depends on an understanding of your product's critical event. What's the one thing your users need to do in order to get value from your product? For a food delivery app, this might be placing an order. For a healthcare app, it might be starting or booking a session. When you know that critical event, you can build a Lifecycle chart around it and see how your user base is interacting with that event over time.
You can also get a bird's-eye view of engagement and retention by building your analysis around any active event. This will keep you aware of more broad-based trends with your product's usage patterns.
The idea is to grow your current and resurrected user counts, either by keeping them engaged or by giving them a reason to become active again. You'll also want to keep an eye on your dormant users: if this category starts growing, you may have an engagement problem on your hands.
This feature is available to users on Growth and Enterprise plans only. See our pricing page for more details.
First and foremost, events will not appear in any Amplitude charts until instrumentation is complete, so make sure you've got that done. You'll definitely want to read our article on building charts in Amplitude.
You'll probably get more out of a lifecycle analysis if you fully understand your product's critical event, and its usage frequency. And you may want to check out our blog post on the retention lifecycle framework.
To build a Lifecycle chart, follow these steps:
You can only include one event in a lifecycle analysis.
You can only include one user segment in a lifecycle analysis.
This example shows a daily lifecycle chart with an interval of 7 days (August 1 to August 7). Each day includes blue and red buckets defined as active users (blue) versus dormant users (red). Users cannot be in more than one bucker per interval.
Read on to learn how to interpret your Lifecycle chart.
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May 30th, 2024
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