In my view, many companies that think they have a growth problem actually have a philosophy problem.
I've been thinking about a framework from Nick Darveau-Garneau's book. Nick is someone I've known for a long time, and his career ran parallel to mine for decades. He is Google's former Chief Evangelist and has advised senior executives at more than a thousand companies. I was scaling Fiverr from Series A to IPO, building Ideeli to number one on the Inc. 500, and eventually launching Violet. Two completely different paths, but we both arrived at the same conclusion: many companies are optimizing for the wrong thing.
Nick calls them bonsai. I think it's one of the most accurate diagnoses in growth strategy.
Bonsai vs. Sequoia
A bonsai is perfectly shaped. Every branch is intentional. It looks disciplined, efficient, healthy. And it never grows past the pot it's sitting in.
A sequoia doesn't look efficient. It grows aggressively, reaches for maximum height, and invests in a root system that pays dividends for centuries.
In my experience, too many marketers walk into board rooms with cost-per-click dashboards and efficiency ratios and wonder why there's no alignment. The reason is structural. When you've trained your entire team to optimize for efficiency metrics (CAC, ROAS, cost-per-lead), you've trained them to ask a fundamentally different question than the one growth requires.
Efficiency asks: how do we spend less to get the same result?
Sequoia thinking asks: how do we invest more profitably to get a bigger result?
The Disease Spreads
Here's what makes bonsai thinking particularly dangerous: it doesn't stay in marketing.
One line keeps coming back to me: if a company's marketing team is focused on efficiency, chances are high that the rest of the company is too.
When marketing optimizes for ROAS, it starts killing campaigns that look expensive even when they're generating real long-term profit. It starts acquiring cheaper customers who churn in 60 days instead of higher-CAC customers worth ten times more over two years. The numbers look clean. The ratios look tight. But the business is quietly shrinking toward better metrics instead of growing toward more profit.
Product starts shipping features nobody pays for because teams are measured on output velocity, not revenue impact. Sales chases volume over deal quality. Customer service optimizes handle time over retention. The whole company is pruning.
The metrics are improving. The business is not.
The Fix Isn't More Spend
The answer to bonsai thinking is to change the question your teams are wired to answer, while keeping the cost discipline that profitable growth still depends on.
Total profit optimization means evaluating marketing not on what it costs per transaction but on what it generates per customer over time. It means accepting that some channels will look expensive by conventional ROAS standards and will still be the right investment. It means hiring for customer quality, not customer volume.
This reframe changes what you measure, what you report to the board, and what behavior you reward inside your organization.
In my experience, many companies that think they have a budget problem actually have a philosophy problem, and philosophy problems look like budget problems until you change the lens.
David Manela is co-founder of Exactius, a growth and data science company. Follow him on LinkedIn for more frameworks on growth, marketing, and capital allocation.
David Manela
David Manela is the founder of Exactius and creator of the Growth Operating System — a framework for deploying capital-efficient, compounding growth inside scaling companies.
FAQ
Frequently asked
What is the bonsai trap in growth strategy?
As this post uses it, the bonsai trap describes companies that tune efficiency metrics such as CAC and ROAS so tightly that they stop growing, like a bonsai kept small in its pot. The image comes from Nick Darveau-Garneau, Google's former Chief Evangelist, whose book Be a Sequoia, Not a Bonsai (HarperCollins Leadership, January 2026) argues for optimizing profit instead of efficiency ratios.
What is the difference between efficiency metrics and total profit optimization?
Efficiency metrics such as cost per lead, CAC and ROAS measure what each click, lead or sale costs. Total profit optimization, as the post describes it, judges marketing by the profit it generates per customer over time. Under that lens a channel can look expensive on ROAS and still be the right investment if it brings in customers who stay longer and spend more.
What is the difference between average CAC and marginal CAC?
Average, or blended, CAC divides total acquisition spend by total new customers. Marginal CAC is the cost of the next customer: the added spend divided by the added customers it produces. The two can drift apart as budgets grow, for example when extra spend reaches less responsive audiences. Comparing marginal CAC with that customer's expected lifetime value shows whether the next dollar is profitable, which a healthy average can hide.
What is a healthy LTV to CAC ratio?
A common SaaS guideline from investor David Skok is that customer lifetime value should exceed three times CAC, assuming gross margins of 80 percent or more. A business with lower margins needs a higher ratio to earn the same return. The ratio fits the bonsai argument because it can justify a higher CAC when the customers acquired are worth proportionally more.
Does cutting costs hurt growth?
Not necessarily. McKinsey's 2019 study Bubbles Pop, Downturns Stop found that the strongest fifth of about 1,100 companies in the 2007 to 2009 downturn cut operating costs earlier than peers. By 2009 their EBITDA was up 10 percent while peers' fell nearly 15 percent, and by 2017 they led on cumulative shareholder returns by over 150 points. In countercyclical sectors, these companies grew revenue while taking on higher costs.
Why do company growth stalls happen?
Most growth stalls trace to internal choices. The 2008 Harvard Business Review article When Growth Stalls found that 87 percent of the large companies it studied over half a century had stalled at least once, and that external factors such as regulation explained only 13 percent of stalls. The Exactius post on growth stall diagnostics cites Bain research finding 85 percent of growth barriers were internal and manageable.
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