A sale is just the first step. The true measure of product-market fit is high retention, specifically when the product becomes so integrated into a customer's workflow that the idea of canceling their subscription would be bizarre and disruptive. Founders should be designing for this "weird to cancel" status.

The key indicator of a healthy freemium model isn't the specific retention percentage but whether the curve flattens over time. A curve that continuously drops to zero means you are not building a sustainable user base and are simply starting over with each new cohort of users.

To combat a high 44% churn rate, the company implemented a simple feedback loop. They surveyed every user who canceled to ask why and what features they wanted. Each month, the team reviewed the feedback and built the most popular requests, steadily improving the product and retention.

The true indicator of Product-Market Fit isn't how fast you can sign up new users, but how effectively you can retain them. High growth with high churn is a false signal that leads to a plateau, not compounding growth.

Everyone obsesses over Net Revenue Retention (NRR), but Gross Revenue Retention (GRR) is the real indicator of product health. GRR tells you if customers like your product enough to stay, period. A low GRR signals a core problem that expansion revenue in NRR might be masking.

Product-market fit isn't just growth; it's an extreme market pull where customers buy your product despite its imperfections. The ultimate signal is when deals close quickly and repeatedly, with users happily ignoring missing features because the core value proposition is so urgent and compelling.

The current AI hype cycle can create misleading top-of-funnel metrics. The only companies that will survive are those demonstrating strong, above-benchmark user and revenue retention. It has become the ultimate litmus test for whether a product provides real, lasting value beyond the initial curiosity.

While individual AI companies see slightly lower retention than SaaS, Stripe's data reveals customers often churn from one provider directly to a competitor, and sometimes switch back. This indicates the problem being solved is highly valued, and the churn reflects a rapidly evolving, competitive market, not a lack of product-market fit for the category itself.

The ultimate validation of product-market fit isn't retention or satisfaction scores, but the percentage of new revenue driven by customer referrals. When 30% or more of your new top-line monthly revenue comes from existing customers recommending your product, you've built something people genuinely love and need.