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    Growth & Engagement
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    Global · Global

    Viral Coefficient(K-factor)

    Also called: K-factor, K factor

    TL;DR

    The average number of new users each existing user invites who themselves convert into active users.

    The viral coefficient (K) measures whether a product grows on its own. K = (invites per user) × (conversion rate of invites). A K above 1 means each user produces more than one new user, and the product compounds without paid acquisition. A K of 0.4 to 0.7 still meaningfully reduces CAC even though the product is not 'viral' in the lay sense.

    Virality interacts with cycle time: a low K with a fast invite cycle can outperform a high K with a slow one. Real-world K above 1 is rare and almost never sustainable.

    Formula

    K = i × c
    • K , Viral coefficient
    • i , Average invites sent per active user
    • c , Conversion rate of invitees into active users

    K > 1 implies organic compounding growth; K < 1 still reduces effective CAC.

    Worked example

    A referral program: each new user sends 4 invites (i = 4) and 12% accept (c = 0.12). K = 4 × 0.12 = 0.48. Since K < 1, growth from referrals decays, the program supports paid acquisition but doesn't sustain growth alone.

    Common pitfalls

    • Reporting share counts as virality without measuring conversion.
    • Confusing referral incentives with true product virality.
    • Optimizing K above the customer's actual social tolerance.

    When this shows up in a pitch deck

    The Growth slide cites K alongside cycle time when virality is part of the thesis; otherwise omit it.

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