Every Metric Has a Shadow



A metric tells you something happened. It doesn't tell you why. And it almost never tells you what's happening underneath.
When numbers are bad, they demand attention. Investigation. Action. But when a number is good, the instinct is to move on. Tick the box. Keep going. Everyone is happy.
The problem is that a metric can look healthy on one dimension while quietly signalling something broken on another. A number that reflects genuine performance and a number that masks a deeper issue can look identical on a dashboard.
It starts with asking one simple question: what does this number not tell me?
Zero percent churn sounds like a dream. Every customer stays. Nobody leaves. The product must be irreplaceable.
But stop for a moment. Why is nobody leaving? Is it because your product is genuinely essential, or because your pricing is so low that cancelling feels like more effort than it's worth? Are customers actively engaged, or are they simply not bothered enough to churn? And here's a harder question: is the business developing, or is it sitting comfortably in products that work instead of building what comes next?
I'm old enough to remember when everyone had a landline. Nobody ever cancelled. My grandmother had the same number since 1987 and never once considered switching. But the first mobile phone users weren't landline customers who switched. They were a completely different generation who never had a landline in the first place. The landline providers saw no churn for years. Customers stayed as usual. But there was a huge shadow growing. Within a few years, almost all landline subscriptions would become irrelevant.
The companies that survived were the ones willing to cannibalise their own no-churn business by launching mobile subscriptions early, even at short-term cost.
Churn can actually be a sign that your company is developing. Entering a new phase. Moving toward something better that legacy customers aren't ready for yet. That's often a healthy sign, not a warning one.
Spotify learned this the hard way, and then turned it into one of the most interesting financial stories in recent memory. When they raised prices, churn spiked to levels most SaaS companies would never accept.
Because what looked like a crisis on the dashboard turned out to be proof of something far more valuable. The churned customers came back. They hadn't left because they didn't value the product. They'd left because they'd forgotten how much they needed it.
Spotify went from losing €500 million in 2023 to making €1 billion profit in 2024. Not by fixing their churn. By increasing it.
The shadow behind zero churn isn't always dangerous. But it always deserves a question.
A strong contribution margin tells you the profit on what you sold. That's important. But it tells you almost nothing about what you didn't sell, and how efficiently your capital is actually working.
What's your stock turn? What's your GMROI? How much working capital is tied up in slow-moving inventory that hasn't shifted in months? A high contribution margin on products that don't sell quickly isn't a financial success. It's capital sitting on a shelf, generating nothing. The business can look healthy on the income statement while quietly suffocating on the balance sheet.
Toys R Us spent their final years improving their gross margin from 27% to 31% over five years. On that metric alone, the business looked like it was getting better. Leadership could point to improving margins in every board meeting. Investors could see a positive trend. The number told a reassuring story.
But the balance sheet told a completely different one. Working capital was tied up in slow-moving inventory while Amazon competed on an entirely different dimension. Faster stock turns, leaner inventory, stronger capital allocation. Amazon didn't have better margins. They had a fundamentally more efficient business model that Toys R Us couldn't match while carrying the weight of their own inventory.
The tragedy isn't that Toys R Us ignored their margins. It's that they optimised them while the real threat was building somewhere the margin number couldn't see. They filed for bankruptcy in 2017 while their contribution margin was the best it had been for years.
The shadow behind a strong contribution margin is always worth checking. Margins tell you what happened on the income statement. They say nothing about what's happening to your cash, your working capital, or your ability to compete on the dimensions that actually matter.
Full utilisation feels like success. Everyone is booked. No capacity to sit idle. The monthly report looks perfect and the team is busy.
But high utilisation has a ceiling, and it's lower than most people think. When the entire team is fully deployed, there's no time for sales. No pipeline is being built. No new relationships are being developed. The business is running at full speed with nobody watching the road ahead.
Picture a consulting firm running at 94% utilisation for three consecutive quarters. Record billable hours every month. The founders are proud, the team is stretched but motivated, and the numbers look great in every client update. Then two anchor clients wrap up in the same month. It happens in consulting. Projects end. And suddenly the pipeline that nobody had time to build isn't there.
What follows is a scramble that every founder in professional services will recognise. Urgent outreach to old contacts. Proposals rushed out. Discounts offered that wouldn't have been on the table six months earlier. Some of it works. Some of it doesn't. And the months it takes to rebuild the pipeline are months the business spends under pressure it didn't see coming.
The utilisation rate that looked perfect in the quarterly review was already out of date by the time anyone read it. The shadow was forming while everyone was celebrating.
High utilisation without sales activity isn't momentum. It's a business quietly borrowing from its own future. And the bill always arrives eventually.
In every one of these cases, the issue isn't the metric itself. The issue is the metric being read in isolation, without the surrounding context that gives it meaning.
Zero churn is worth celebrating, unless it means the business has stopped evolving. High margins are worth celebrating, unless working capital is quietly eroding underneath. Full utilisation is worth celebrating, unless the pipeline is running dry.
The best financial management isn't about finding the right number. It's about understanding what the right number doesn't tell you, and making sure that question gets asked before it becomes a problem.
This is harder than it sounds. When a metric looks good, there's no natural pressure to investigate it. The business is busy, the board is happy, and asking difficult questions about a number that's performing well can feel like unnecessary pessimism. But the founders and CFOs who build this habit consistently, who treat strong metrics with the same curiosity they'd apply to weak ones, are the ones who spot the shadows before they become expensive.
It doesn't require a complex framework. It requires one question, asked regularly and honestly: what does this number not tell me? What's the adjacent metric I'm not looking at?
Ask that question often enough and it becomes instinct. An instinct built on that kind of financial curiosity is one of the most valuable things a founder can develop.
Green numbers deserve to be celebrated. But they also deserve scrutiny, especially when they look extraordinarily good.
The metrics that hide problems aren't in the red column. Those are known problems. The unknown problems are hiding behind the bright green numbers, the ones nobody thinks to question.
The founders who build the habit of looking beyond the headline metric, of asking what the number doesn't show, are the ones who catch problems before they become expensive. And that habit is worth more than any single metric on your dashboard.
At Scaleup Finance, we help founders and operators go beyond the headline numbers so the blind spots get surfaced before they become expensive. If that's a conversation worth having, we'd love to talk.
A metric tells you something happened. It doesn't tell you why. And it almost never tells you what's happening underneath.
When numbers are bad, they demand attention. Investigation. Action. But when a number is good, the instinct is to move on. Tick the box. Keep going. Everyone is happy.
The problem is that a metric can look healthy on one dimension while quietly signalling something broken on another. A number that reflects genuine performance and a number that masks a deeper issue can look identical on a dashboard.
It starts with asking one simple question: what does this number not tell me?
Zero percent churn sounds like a dream. Every customer stays. Nobody leaves. The product must be irreplaceable.
But stop for a moment. Why is nobody leaving? Is it because your product is genuinely essential, or because your pricing is so low that cancelling feels like more effort than it's worth? Are customers actively engaged, or are they simply not bothered enough to churn? And here's a harder question: is the business developing, or is it sitting comfortably in products that work instead of building what comes next?
I'm old enough to remember when everyone had a landline. Nobody ever cancelled. My grandmother had the same number since 1987 and never once considered switching. But the first mobile phone users weren't landline customers who switched. They were a completely different generation who never had a landline in the first place. The landline providers saw no churn for years. Customers stayed as usual. But there was a huge shadow growing. Within a few years, almost all landline subscriptions would become irrelevant.
The companies that survived were the ones willing to cannibalise their own no-churn business by launching mobile subscriptions early, even at short-term cost.
Churn can actually be a sign that your company is developing. Entering a new phase. Moving toward something better that legacy customers aren't ready for yet. That's often a healthy sign, not a warning one.
Spotify learned this the hard way, and then turned it into one of the most interesting financial stories in recent memory. When they raised prices, churn spiked to levels most SaaS companies would never accept.
Because what looked like a crisis on the dashboard turned out to be proof of something far more valuable. The churned customers came back. They hadn't left because they didn't value the product. They'd left because they'd forgotten how much they needed it.
Spotify went from losing €500 million in 2023 to making €1 billion profit in 2024. Not by fixing their churn. By increasing it.
The shadow behind zero churn isn't always dangerous. But it always deserves a question.
A strong contribution margin tells you the profit on what you sold. That's important. But it tells you almost nothing about what you didn't sell, and how efficiently your capital is actually working.
What's your stock turn? What's your GMROI? How much working capital is tied up in slow-moving inventory that hasn't shifted in months? A high contribution margin on products that don't sell quickly isn't a financial success. It's capital sitting on a shelf, generating nothing. The business can look healthy on the income statement while quietly suffocating on the balance sheet.
Toys R Us spent their final years improving their gross margin from 27% to 31% over five years. On that metric alone, the business looked like it was getting better. Leadership could point to improving margins in every board meeting. Investors could see a positive trend. The number told a reassuring story.
But the balance sheet told a completely different one. Working capital was tied up in slow-moving inventory while Amazon competed on an entirely different dimension. Faster stock turns, leaner inventory, stronger capital allocation. Amazon didn't have better margins. They had a fundamentally more efficient business model that Toys R Us couldn't match while carrying the weight of their own inventory.
The tragedy isn't that Toys R Us ignored their margins. It's that they optimised them while the real threat was building somewhere the margin number couldn't see. They filed for bankruptcy in 2017 while their contribution margin was the best it had been for years.
The shadow behind a strong contribution margin is always worth checking. Margins tell you what happened on the income statement. They say nothing about what's happening to your cash, your working capital, or your ability to compete on the dimensions that actually matter.
Full utilisation feels like success. Everyone is booked. No capacity to sit idle. The monthly report looks perfect and the team is busy.
But high utilisation has a ceiling, and it's lower than most people think. When the entire team is fully deployed, there's no time for sales. No pipeline is being built. No new relationships are being developed. The business is running at full speed with nobody watching the road ahead.
Picture a consulting firm running at 94% utilisation for three consecutive quarters. Record billable hours every month. The founders are proud, the team is stretched but motivated, and the numbers look great in every client update. Then two anchor clients wrap up in the same month. It happens in consulting. Projects end. And suddenly the pipeline that nobody had time to build isn't there.
What follows is a scramble that every founder in professional services will recognise. Urgent outreach to old contacts. Proposals rushed out. Discounts offered that wouldn't have been on the table six months earlier. Some of it works. Some of it doesn't. And the months it takes to rebuild the pipeline are months the business spends under pressure it didn't see coming.
The utilisation rate that looked perfect in the quarterly review was already out of date by the time anyone read it. The shadow was forming while everyone was celebrating.
High utilisation without sales activity isn't momentum. It's a business quietly borrowing from its own future. And the bill always arrives eventually.
In every one of these cases, the issue isn't the metric itself. The issue is the metric being read in isolation, without the surrounding context that gives it meaning.
Zero churn is worth celebrating, unless it means the business has stopped evolving. High margins are worth celebrating, unless working capital is quietly eroding underneath. Full utilisation is worth celebrating, unless the pipeline is running dry.
The best financial management isn't about finding the right number. It's about understanding what the right number doesn't tell you, and making sure that question gets asked before it becomes a problem.
This is harder than it sounds. When a metric looks good, there's no natural pressure to investigate it. The business is busy, the board is happy, and asking difficult questions about a number that's performing well can feel like unnecessary pessimism. But the founders and CFOs who build this habit consistently, who treat strong metrics with the same curiosity they'd apply to weak ones, are the ones who spot the shadows before they become expensive.
It doesn't require a complex framework. It requires one question, asked regularly and honestly: what does this number not tell me? What's the adjacent metric I'm not looking at?
Ask that question often enough and it becomes instinct. An instinct built on that kind of financial curiosity is one of the most valuable things a founder can develop.
Green numbers deserve to be celebrated. But they also deserve scrutiny, especially when they look extraordinarily good.
The metrics that hide problems aren't in the red column. Those are known problems. The unknown problems are hiding behind the bright green numbers, the ones nobody thinks to question.
The founders who build the habit of looking beyond the headline metric, of asking what the number doesn't show, are the ones who catch problems before they become expensive. And that habit is worth more than any single metric on your dashboard.
At Scaleup Finance, we help founders and operators go beyond the headline numbers so the blind spots get surfaced before they become expensive. If that's a conversation worth having, we'd love to talk.
(But also TL;DR)
To prepare a budget for your startup, begin by listing all potential expenses you anticipate in starting and operating your business. Next, organise these expenses into categories. After that, estimate your monthly revenue and calculate the total costs required to start and run your business.
Step 1: Determine and track your income sources.
Step 2: Make a list of your cost. Include both fixed and variable costs.
Step 3: Set achievable financial goals.
Step 4: Develop a plan to meet those goals.
Step 5: Put everything together to build your budget.
Step 6: Regularly review and revise your forecast to ensure it remains effective.
Capital budgeting for a startup involves allocating a set amount of funds for specific purposes, such as purchasing new equipment or expanding business operations. This process is crucial as it supports making strategic investments that are expected to yield long-term benefits for the startup.
(But also TL;DR)
To forecast cash flow for a startup, follow these steps:
Step 1: Create a sales forecast by estimating the revenue your products or services will generate over the forecast period.
Step 2: Develop a profit and loss forecast to understand your expected expenses and income.
Step 3: Prepare your cash flow forecast, which involves calculating expected cash inflows and outflows. This can often be done for longer-term by using assumptions around payment terms to forecast a Balance Sheet, and using the movements in Balance Sheet and Net Profit/Loss to calculate the cashflow.
Step 4: Consider ways of improving cash flow by improving your invoicing methods, considering short-term borrowing, and negotiate better payment terms to manage cash flow effectively.
The most accurate method for forecasting cash flow in the short-term is the direct method, which utilises actual cash flow data. In contrast, the indirect method is better suited for longer term forecasting using projected balance sheet movements and income statements to estimate future cash flows.
Cash flow is calculated by deducting cash outflows from cash inflows over a specific period. This calculation alongside forecasts of future cash flow helps determine if there is sufficient money available to sustain business.
To project cash flow over a three-year period, undertake the following steps:
Step 1: Collect historical financial data.
Step 2: Identify all expected cash inflows, which could include revenue, investment, grant income, etc.
Step 3: Estimate all anticipated cash outflows including expenses, suppliers that need to be paid, investments into assets, debt repayments, etc.
Step 4: Calculate the net cash flow by subtracting outflows from inflows.
Step 5: Consider your cash reserves and explore financing options if needed.
Step 6: Regularly review and adjust your projections to ensure accuracy and relevance.
(But also TL;DR)
A startup should think about hiring a Chief Financial Officer (CFO) when it begins to experience rapid growth, finds it challenging to manage finances, or needs to navigate complex investment scenarios. A seasoned financial professional can provide the necessary expertise to handle these challenges effectively.
You might need to hire a CFO or consider outsourcing this role if you notice any of the following signs: a decrease in gross profit margins despite increasing revenue, uncontrolled business growth, lack of cash reserves despite having a financially successful year, or a halt in business growth.
Recruiting a full-time CFO is an expensive hire. Given budget constraints and the need to prove the viability of your business idea, founders will often need to prioritise investing into building and commercialising their product. That's where CFO services for startups are a cost-effective solution for founders looking to take their financial management to the next level.