High top-line revenue is a vanity metric if it doesn't translate to profit. By setting a high margin target (e.g., 80%+) and enforcing it through pricing and cost management, you ensure the business is sane and profitable, not just busy.

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.

To bridge the communication gap with leadership, reframe common product metrics into financial terms. Instead of reporting daily active users (DAU), calculate and present average revenue per daily active user (ARPA-DAU). Similarly, frame quality initiatives not as ticket reduction but as operating expense (OPEX) savings.

Counterintuitively, very high gross margins in a company pitching itself as "AI" can be a warning sign. It may indicate that users aren't engaging with the core, computationally expensive AI features. Lower margins can signal genuine, heavy usage of the core AI product.

Escape the trap of chasing top-line revenue. Instead, make contribution margin (revenue minus COGS, ad spend, and discounts) your primary success metric. This provides a truer picture of business health and aligns the entire organization around profitable, sustainable growth rather than vanity metrics.

Use gross margin as a quick filter for a new business idea. A low margin often indicates a lack of differentiation or true value-add. If a customer won't pay a premium, it suggests they have alternatives and you're competing in a commoditized space, facing inevitable margin compression.

Unlike SaaS, where high gross margins are key, an AI company with very high margins likely isn't seeing significant use of its core AI features. Low margins signal that customers are actively using compute-intensive products, a positive early indicator.

Contrary to traditional software evaluation, Andreessen Horowitz now questions AI companies that present high, SaaS-like gross margins. This often indicates a critical flaw: customers are not engaging with the costly, core AI features. Low margins, in this context, can be a positive signal of genuine product usage and value delivery.

A potential buyer's first move is often to fire the least profitable clients. Proactively dropping these clients—those on legacy deals or who complain excessively—improves your gross margin, making the business more attractive and valuable before a sale even begins.