Established SaaS firms avoid AI-native products because they operate at lower gross margins (e.g., 40%) compared to traditional software (80%+). This parallels brick-and-mortar retail's fatal hesitation with e-commerce, creating an opportunity for AI-native startups to capture the market by embracing different unit economics.

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.

Don't let your personal perception of what's 'expensive' limit your earning potential. Set your price high based on the value you provide. It is easy to lower a price that gets no buyers, but impossible to know if you could have charged more if you start too low. Never say no for the customer.

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.

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.

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.

Many AI startups prioritize growth, leading to unsustainable gross margins (below 15%) due to high compute costs. This is a ticking time bomb. Eventually, these companies must undertake a costly, time-consuming re-architecture to optimize for cost and build a viable business.

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.

In low-margin sectors like grocery, chasing sales volume is unsustainable. The true value of retail media lies in improving profitability by driving guaranteed incremental sales and avoiding wasted ad spend on existing customer behavior, directly impacting the bottom line.