Product-market fit (PMF) is the degree to which a product satisfies strong market demand. It is the most important milestone for an early-stage startup: before PMF, you are searching and iterating; after PMF, you are scaling. PMF is evidenced by strong retention, organic growth, low churn, high NPS, and customers who actively recommend the product. Marc Andreessen described it as "being in a good market with a product that can satisfy that market."
Product-market fit is the most important milestone for an early-stage startup. Before PMF, you are searching. After PMF, you are scaling. Premature scaling is the number one startup killer.
Investors at Seed and Series A are primarily evaluating whether you have PMF (or a credible path to it). Everything else (team, market size, metrics) is context for that judgment.
Quantitative signals: strong retention curves that flatten (not decay to zero), organic growth, low churn, high NPS (40+), users pull the product into their workflows.
Qualitative signals: customers complain when it breaks, they recommend it without being asked, sales cycles shorten, inbound demand exceeds outbound effort.
Sean Ellis test: survey users "How would you feel if you could no longer use this product?" If 40%+ say "very disappointed," you likely have PMF.
Declaring PMF too early based on a small, hand-picked user group. Validate across a broader ICP.
Confusing paid acquisition traction with PMF. If users only come through heavy spending and churn quickly, the product is not pulling.
PMF is not binary or permanent. Markets shift, competitors emerge, and customer needs evolve.
Traction slide: retention curves, NPS, organic growth %, and qualitative quotes from users. Let the data speak rather than claiming PMF directly.
M6 retention 61%; NPS 52; 40% of new users from referrals.
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