Assembled launched with usage-based pricing and no minimums. When the pandemic hit, customers scaled usage to zero, and revenue flatlined. The team initially blamed their product, only later realizing their pricing model made them vulnerable to customers' cost-cutting measures, independent of product value.

Related Insights

SaaS companies scale revenue not by adjusting price points, but by creating distinct packages for different segments. The same core software can be sold for vastly different amounts to enterprise versus mid-market clients by packaging features, services, and support to match their perceived value and needs.

The popular pursuit of massive user scale is often a trap. For bootstrapped SaaS, a sustainable, multi-million dollar business can be built on a few hundred happy, high-paying customers. This focus reduces support load, churn, and stress, creating a more resilient company.

Even a seemingly acceptable 4% monthly churn will eventually cap your growth, as acquiring new customers becomes a treadmill to replace lost ones. Reducing churn to 2.5-3% is a more powerful growth lever than finding new marketing channels once you hit a plateau.

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.

Standard SaaS pricing fails for agentic products because high usage becomes a cost center. Avoid the trap of profiting from non-use. Instead, implement a hybrid model with a fixed base and usage-based overages, or, ideally, tie pricing directly to measurable outcomes generated by the AI.

AI is making core software functionality nearly free, creating an existential crisis for traditional SaaS companies. The old model of 90%+ gross margins is disappearing. The future will be dominated by a few large AI players with lower margins, alongside a strategic shift towards monetizing high-value services.

The industry glorifies aggressive revenue growth, but scaling an unprofitable model is a trap. If a business isn't profitable at $1 million, it will only amplify its losses at $5 million. Sustainable growth requires a strong financial foundation and a focus on the bottom line, not just the top.

The macroeconomic shift to a high-margin, high-interest-rate environment means SaaS companies must abandon the 'growth at all costs' playbook. Pricing decisions, such as usage-based models that delay revenue, have critical cash flow implications. Strategy must now favor profitability and immediate cash generation.

Many founders believe growing top-line revenue will solve their bottom-line profit issues. However, if the underlying business model is unprofitable, scaling revenue simply scales the losses. The focus should be on fixing profitability at the current size before pursuing growth.

The push for AI-driven efficiency means many companies are past 'peak employee.' This creates a scenario analogous to a country with a declining population, where the total number of available seats is in permanent decline, making per-seat pricing a fundamentally flawed long-term business model.