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Growth Accounting: What's Really Driving Your Growth?

AI-drafted, machine-checkedSource: Wikipedia: Growth accountingbeginner

Growth accounting splits your growth into two parts: adding more resources (like ad spend) and getting better with what you have. Use it to see if growth came from a bigger budget or a better product.

WHY IT EXISTS When a key metric like revenue or user count goes up, leaders need to know why. Did we just throw more money or people at the problem, or did our core strategy get smarter? Growth accounting was created to solve this attribution problem and enable better investment decisions.

THE MENTAL MODEL Think of it like baking a bigger cake. Did you make a bigger cake simply by using more flour and eggs (more inputs)? Or did you discover a new baking technique that makes the cake rise higher with the same amount of ingredients (improved productivity)? Growth accounting separates these two effects. The 'new technique' is the residual—the growth you can't explain by just adding more resources.

HOW IT WORKS You start with your total output growth (e.g., 25% revenue growth). Then, you measure the growth of your key inputs (e.g., marketing spend grew 20%, engineering headcount grew 10%). You calculate the expected contribution of these inputs to the total output based on historical data or business models. The leftover growth that isn't explained by the input changes is the residual. This residual is attributed to intangible factors like better product-market fit, improved brand reputation, or more efficient processes.

WHEN TO USE IT Use it in quarterly business reviews and strategic planning to understand the real drivers of performance. It's especially valuable when multiple initiatives run in parallel, making simple cause-and-effect analysis impossible. It helps leadership decide whether the next dollar should go to hiring more people or to projects that improve the efficiency of the current team.

WHEN NOT TO USE IT It's overkill for small, isolated changes where a simple A/B test provides a clear answer. As a macro-level tool, it requires reasonably accurate data on your inputs and their historical impact, which can be difficult for a brand new company or product to provide. It explains the 'what', but not always the specific 'why' behind the residual.

ONE CANONICAL EXAMPLE A SaaS company's revenue grew by 30% last year. In that same period, its sales team grew by 20% and its marketing budget increased by 15%. A growth accounting model might determine that the larger sales team contributed 12% to revenue growth, and the increased marketing spend contributed 8%. That leaves 10% of the growth (30% - 12% - 8%) unexplained by resource increases. This 10% 'residual' is attributed to increased productivity—things like a better product, stronger brand, or improved sales training.

Read the original → en.wikipedia.org

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