Definition
Retention Analysis
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.
Interactive diagram - hover the elements. Plotted values are illustrative examples, not measurements.
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.
Retention Analysis: common questions
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.
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