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.

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For a true AI-native product, extremely high margins might indicate it isn't using enough AI, as inference has real costs. Founders should price for adoption, believing model costs will fall, and plan to build strong margins later through sophisticated, usage-based pricing tiers rather than optimizing prematurely.

The tension between growth and profitability is best resolved by understanding your product's "runway" (be it 6 months or 6 years). This single piece of information, often misaligned between teams and leadership, should dictate your strategic focus. The key task is to uncover this true runway.

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.

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.

Constantly delivering custom solutions is inefficient and destroys profitability. Instead, define a standardized, repeatable service package that can be sold and delivered consistently, maintaining high margins and simplifying operations.

Audit your revenue streams to distinguish 'busy revenue' (high-effort, soul-sucking work) from 'aligned revenue' (energizing, sustainable systems). Focusing on growing aligned revenue, even if it means restructuring or eliminating profitable but draining streams, is key to a sustainable business model.

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.

Traditional SaaS metrics like 80%+ gross margins are misleading for AI companies. High inference costs lower margins, but if the absolute gross profit per customer is multiples higher than a SaaS equivalent, it's a superior business. The focus should shift from margin percentages to absolute gross profit dollars and multiples.