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    Growth & Engagement
    Mid
    Global · Global

    Retention Curve

    Also called: Retention chart

    TL;DR

    A chart showing what fraction of a cohort is still active week-by-week or month-by-month after sign-up.

    A retention curve plots time on the x-axis and the percentage of an original cohort still active on the y-axis. The shape of the curve diagnoses the business: a curve that decays to zero means no PMF; a curve that flattens at a stable plateau means real, sticky usage; a curve that turns upward (the 'smile') means net-negative churn and is the strongest signal a product can show.

    Investors read retention curves before any other metric on the Traction slide. A strong curve compensates for weak top-line growth; weak curves invalidate strong top-line growth.

    Formula

    Retention(d) = (Cohort users active on day d ÷ Cohort size) × 100%
    • Cohort size , Number of users who first signed up on day 0 of the cohort
    • d , Number of days after sign-up

    A 'flattening' curve (e.g. 25% at D30, 24% at D60, 24% at D90) signals product-market fit; a curve that keeps falling does not.

    Worked example

    A consumer app's January cohort: D1 retention 60%, D7 32%, D30 18%, D60 17%, D90 17%, the curve flattens around 17%, indicating roughly 1-in-6 users become long-term actives.

    Common pitfalls

    • Showing average retention instead of cohort retention.
    • Rolling cohorts together to mask declining retention over time.
    • Truncating the chart at week 4 to hide later decay.

    When this shows up in a pitch deck

    The Traction slide should include a cohort retention chart, not just a 'users over time' chart.

    Related terms

    Pitch deck pillar pages

    Long-form deep dives on the slides Retention Curve most often shows up on.

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