---
title: "Retention Analysis"
canonical_url: https://ampl.webclat.com/glossary/retention-analysis
description: "Retention analysis measures whether users keep returning to a product over time - curve shapes, N-day vs unbounded retention, and how to read the plateau."
source: Webclat | Amplitude Solutions (official Amplitude partner, independent consultancy)
---

# Retention Analysis

**Definition:** Retention analysis measures whether users continue returning to a product after they start, typically plotted as the percentage of a cohort still active N days or weeks later. It is the single most honest health metric a product has: acquisition can be bought, engagement can spike, but retention only moves when the product delivers repeatable value.

## N-day, unbounded, or bracket retention?

N-day retention counts users active on exactly day N - strict, right for daily-habit products. Unbounded counts users active on day N or later - forgiving, right for episodic products. Bracket retention counts activity within a window (days 25-31) - the practical middle for weekly-cadence products. Comparing numbers across definitions is the classic retention mistake; fix the definition before debating the figure.

## What actually moves retention?

Almost always the beginning: users who reach the product's core value quickly retain; users who don't, don't. That is why retention work usually turns into activation work - shortening time-to-value - and why the highest-leverage retention chart is the one segmented by first-week behavior.

## FAQ

### What is a good day-30 retention rate?

Public benchmarks vary so much by category and by retention definition that borrowing one misleads more than it helps. The defensible practice: fix your definition, establish your own baseline, segment by acquisition source, and improve against yourself.

In practice: Retention charts are only as honest as identity resolution underneath them - one of the ten dimensions our free audit scores. (https://ampl.webclat.com/services/amplitude-audit)