Business is Good. Why Would I Look Harder? The Case for Measuring Unit Economics When You Don’t Have To

1The case for comfort

The counter argument deserves to be taken seriously. When a business is performing well across its primary metrics, the instinct to look harder is not irrational, it is, in many respects, the correct instinct. Introducing new measurement frameworks into a functioning business carries real costs: management attention, analytical resources, potential disruption to reporting processes, and the risk of surfacing findings that complicate otherwise straightforward decisions.

Exhibit · Why the comfort is misleadingIllustrative

Revenue & EBITDA (lagging)reports the past

Churn, reported (lagging)reports the past

CLV:CAC ratio (leading)signals 2 to 3 yrs early

Sales targets being met is meaningful. It means the business is winning enough customers at a sufficient price point to sustain the revenue plan. EBITDA being on track is meaningful. It means the business is generating cash at the margin required to service its obligations and reinvest in growth. Marketing staying within budget is meaningful. It means the acquisition function is operating with financial discipline. Churn being low is meaningful. It means customers are not leaving at a rate that undermines the revenue base.

None of these things are illusions. They are real measures of real performance. A business with all four in good shape is, by any conventional definition, doing well. The CFO who sees these numbers on a dashboard has legitimate grounds for satisfaction.

The argument of this paper is not that comfortable metrics are wrong. It is that they are incomplete. They measure the present accurately. They say almost nothing about what is building underneath it.

The distinction between a leading and a lagging indicator is well established in management literature but poorly applied in practice. Revenue, EBITDA, and churn are all lagging, they tell you the outcome of decisions made months or years ago. The CLV:CAC ratio is leading, it tells you the quality of the decisions being made now, whose consequences will appear in the numbers eighteen to thirty-six months from today. A business can have strong lagging indicators and a deteriorating leading indicator simultaneously. The two are not contradictory. They are sequential.

2The symptoms hiding in plain sight

Before examining why each function should care about the ratio, it is worth identifying the signals that tend to be present when unit economics are deteriorating, signals that are almost always visible but almost never correctly diagnosed. Each is routinely treated as an execution problem. Each is more accurately described as a structural one.

The annual target ratchet

Revenue targets increase each year. This is convention in most businesses and, in isolation, is unremarkable. What matters is the effort required to hit each successive target. If the business is winning customers at a healthy CLV:CAC ratio, growing the target requires proportional growth in acquisition activity. If the ratio is deteriorating, if it costs more to win each customer, or if each customer is returning less, then hitting a higher target requires disproportionately more activity. The sales team feels this as increased pressure without an obvious cause. Management tends to interpret it as a motivation or execution problem. It is more often a unit economics problem dressed in execution clothing.

The lead quality argument

In the majority of B2B businesses, the most persistent source of tension between sales and marketing is lead quality. Sales believes the leads are insufficient in quality or volume. Marketing believes sales is not converting what it is given. Both positions contain partial truth, which makes the argument irresolvable and therefore permanent.

The unit economics explanation is this: when CAC is rising, the instinct, frequently acted upon, is to increase the volume of leads entering the funnel. Targeting widens. Qualification criteria loosen. More leads arrive, but a smaller proportion convert. Conversion rates fall. More leads are required to hit the same number of customers. CAC rises further. The argument between sales and marketing intensifies. The cycle repeats.

The lead quality argument is not a symptom of poor execution. It is a symptom of a ratio under pressure. Businesses that diagnose it correctly invest in tighter targeting and better qualification. Businesses that diagnose it incorrectly invest in more volume, and accelerate the deterioration.

Discounting to close

When sales cycles lengthen, itself often a symptom of weakening brand positioning or misaligned targeting, the commercial pressure to close intensifies. Discounting becomes the tool of choice. A deal that was planned at 40 percent gross margin closes at 32 percent. The revenue target is met. The margin target is missed, or the miss is absorbed elsewhere. The deal is booked as a win.

Discounting compresses the gross margin on which CLV is calculated. A customer acquired at a 32 percent margin generates materially less lifetime value than one acquired at 40 percent, even if the revenue figures are identical. If this pattern is repeated across a significant proportion of new wins, the CLV:CAC ratio deteriorates without any change in reported revenue or customer count. The comfortable metrics remain intact. The unit economics are worsening.

Churn within acceptable limits

Low aggregate churn is reassuring. What it can conceal is the composition of that churn. If the customers being lost are disproportionately those with the highest potential lifetime value, customers who churned early, before the business recovered its acquisition cost, or high-value accounts lost to a better-positioned competitor, the aggregate churn rate understates the economic impact of the losses.

A business replacing churned high-value customers with retained low-value ones will see its average CLV compress over time while its churn rate holds steady. This is one of the more insidious forms of unit economics deterioration because it is invisible to the metrics that most businesses track.

Flattening new logo growth

New customer acquisition typically receives less attention in a business where existing revenue is growing. Expansion within the installed base, upsells, cross-sells, renewals at higher rates, can sustain revenue growth for extended periods even as new customer acquisition slows. This is not inherently a problem. It becomes one when the business eventually exhausts its expansion capacity and returns to the market for new logos, only to discover that its acquisition engine has atrophied, its CAC has risen substantially, and its ability to compete for new customers has weakened.

The flatness in new logo growth is visible. It is almost never treated as a warning sign when existing revenue is growing. It should be.

The budget pressure cycle

When a business hits a difficult quarter, or anticipates one, the first instinct is to examine discretionary spend. Marketing budgets are, in most organisations, the most visible and most discretionary item on the cost base. They are cut accordingly. Activity falls. Pipeline slows. Sales pressure intensifies. Marketing responds by defending its budget with activity metrics: impressions, leads, campaign ROI. The CFO remains unconvinced. The budget is cut again.

This cycle is endemic in B2B businesses and almost always framed as a relationship problem between the CMO and the CFO. It is more accurately a measurement problem. A marketing function that cannot express its contribution in unit economics terms, cannot show what each pound of acquisition spend returns in customer lifetime value, is permanently vulnerable to this cycle, regardless of how well it performs in its own terms.

Each of these symptoms has a conventional diagnosis and a unit economics diagnosis. The conventional diagnosis addresses the symptom. The unit economics diagnosis addresses the cause. The distinction matters because treating symptoms in isolation tends to make the underlying condition worse.

3The lag problem

The mechanism by which deteriorating unit economics remain invisible for extended periods deserves careful examination, because it is the central reason that businesses in good health should pay attention to this ratio.

Customer lifetime value is, by definition, a function of time. A customer acquired today will generate revenue and profit over months or years. The full economic consequence of the decision to acquire them will not be visible in the accounts for the duration of their tenure. If that tenure is three years, the financial outcome of today’s acquisition decision will not be fully legible until 2029.

This creates a structural lag between the health of the acquisition engine and the health of the reported financials. A business can be acquiring customers at an uneconomic ratio today while reporting strong EBITDA, because the EBITDA is being generated by customers acquired two or three years ago, when the ratio was healthier. The reported numbers are, in this sense, the echo of past decisions. They are not a reliable guide to the quality of current ones.

BCG’s research found that businesses which improve marketing measurement, specifically by connecting acquisition cost to customer value, unlock financial improvements of 20 to 40 percent.¹ That research was conducted in partnership with Facebook, worth noting for provenance. Forrester’s independent 2024 survey corroborates the scale of the measurement gap: 64 percent of B2B marketing leaders do not trust their own measurement, and 61 percent say it is misaligned with their growth objectives.² The implication is that the gap between reported performance and economic reality is material in businesses that have not done this work.

The lag means that by the time the comfortable metrics deteriorate, by the time EBITDA softens, churn rises, and targets become harder to hit, the problem has been compounding for two to three years. The cost of addressing it at that point is multiples of what it would have cost to catch it early. And the options available are fewer.

There is a further dimension to the lag that is worth naming explicitly. Management decisions about channel investment, pricing, discounting, and targeting are made continuously. Each decision either improves or worsens the CLV:CAC ratio. Without a mechanism for measuring the ratio in something close to real time, the business is making these decisions blind. It is setting the direction of travel without an instrument that tells it where it is going.

4Four functions, four exposures

The argument for measuring the CLV:CAC ratio is not the same for every function. Each has a specific exposure that the ratio either reveals or conceals. Understanding the exposure relevant to each function is, in practice, how the conversation about measurement tends to become actionable.

The CFO

The CFO’s primary exposure is governance. Capital is being allocated to customer acquisition. That allocation is, in most businesses, the largest single discretionary investment the business makes. If the return on that investment is not being measured, if the business cannot state what each pound of acquisition spend returns in present-value lifetime profit, the CFO is approving an investment without a return calculation.

This is a fiduciary exposure in businesses with institutional investors or board-level governance requirements. It is an acute due diligence exposure in any business that is, or might be, a candidate for sale or external investment. Acquirers and private equity investors perform unit economics analysis as a matter of course. A management team that has not performed this analysis on its own business will discover the gap at the point of highest commercial sensitivity, during a transaction, when the ability to respond is most constrained and the consequences of a poor answer are most significant.

The CFO who commissions a CLV:CAC analysis proactively is the CFO who controls the narrative. The CFO who encounters it for the first time in a data room is the CFO who is reacting to someone else’s.

The CMO

The CMO’s exposure is tenure. The average tenure of a Chief Marketing Officer in a B2B business is under three years, shorter than any other C-suite role, and the primary driver of this is an inability to demonstrate commercial impact in terms the board understands.

This is not, in most cases, a failure of marketing effectiveness. It is a failure of marketing legibility. The CMO who reports on impressions, pipeline influence, and campaign ROI is speaking a language that the board tolerates rather than acts on. When a difficult quarter arrives, and difficult quarters always arrive, the question asked of marketing is not ‘did the campaign perform?’ It is ‘what did we get for that budget?’ A CMO who can answer the second question in unit economics terms is the only CMO who is genuinely safe.

The CLV:CAC ratio is the only marketing metric that directly answers the board’s question. It connects the investment to the return. It speaks the language of capital allocation rather than the language of campaign performance. A CMO who owns this number occupies a fundamentally different position in the organisation than one who does not.

The sales leader

The sales leader’s exposure is the composition of the book. Revenue targets measure volume. They do not measure the economic quality of the customers being won. A sales team that is hitting its number by discounting aggressively, by winning high-maintenance low-margin accounts, or by prioritising easy closes over strategically valuable relationships, may be delivering revenue while quietly degrading the quality of the customer base.

The CLV:CAC ratio, calculated at the level of customer segment, channel, and account type, surfaces this. It distinguishes between customers who are genuinely valuable and customers who are nominally revenue-positive. The sales leader who has access to this analysis can make better decisions about where to focus effort, which accounts to pursue, and which to decline. The one who does not is optimising for the metric they are measured on, revenue, at the potential expense of the metric that determines whether the business model is working.

The board

The board’s exposure is valuation. Businesses are valued, by acquirers and by investors, on a combination of current performance and future economics. A business with strong EBITDA and improving unit economics commands a premium. A business with strong EBITDA and deteriorating unit economics commands a discount, because the sophisticated buyer understands that the EBITDA is generating cash today by depleting the economic quality of the customer base tomorrow.

A board that does not know its CLV:CAC ratio cannot have a fully informed view of the business’s intrinsic value. It cannot assess whether the acquisition engine is sustainable. It cannot evaluate management’s capital allocation decisions with the rigour those decisions warrant. It is, in the most literal sense, governing with incomplete information.

5The compounding cost of finding out late

There is a practical question embedded in the theoretical one: even if the CLV:CAC ratio matters, does it need to be addressed now? Could it not wait until the comfortable metrics begin to deteriorate?

The answer is no, and the reason is compounding. Unit economics problems do not hold steady while the business attends to other things. They compound. A rising CAC, unchecked, produces higher spend for the same customer outcome, which reduces the margin available for reinvestment, which limits the business’s ability to address the underlying causes of the rising CAC. A compressing CLV, unchecked, reduces the return on each acquisition decision, which makes the ratio worse, which makes each subsequent acquisition decision marginally less economic than the last.

The cost of intervention is also time-sensitive. Addressing a CAC problem when the ratio is 2.5:1, below the 3:1 benchmark but not yet critical, typically requires changes to targeting, channel mix, and qualification process. These are manageable adjustments. Addressing the same problem when the ratio has fallen to 1.2:1, after eighteen months of compounding, may require fundamental changes to the sales model, the product positioning, the pricing architecture, and the customer success function. The scope of the intervention, and its cost, have grown by an order of magnitude.

The business that measures its unit economics proactively does not find the problem sooner. It finds it when it is still small enough to fix with proportional effort. The business that measures reactively, that waits for the comfortable metrics to deteriorate before looking harder, finds the same problem after it has grown to a scale that demands disproportionate response.

There is also a competitive dimension that deserves brief acknowledgement. In markets where unit economics discipline is common, markets with significant private equity participation, markets where sophisticated buyers conduct due diligence as a matter of course, the businesses that manage to the ratio tend to allocate capital more efficiently, make better channel decisions, and build more durable customer relationships than those that do not. The advantage compounds in the same way the problem does, but in the opposite direction.

6Conclusion

The case for not measuring the CLV:CAC ratio when business is good is straightforward: the current numbers look fine, the exercise is complex, and introducing new analytical frameworks into a functioning business carries costs and risks.

This paper has argued that each element of that case is weaker than it appears. The current numbers look fine because they are lagging indicators measuring the output of past decisions. The symptoms of deteriorating unit economics are already present in most businesses, visible in the annual target ratchet, the lead quality argument, the discount pressure, and the budget cycle, but misdiagnosed as execution problems. The complexity of the exercise is, in practice, a function of the data connections required rather than the analytical difficulty involved: the data exists in almost every business, it is simply not assembled.

The risk is not in measuring. The risk is in not measuring and finding out later, at greater cost, with fewer options, in a context, a difficult quarter, a due diligence process, a board conversation, where the ability to respond is most constrained.

Business being good is the best possible time to look harder. The findings, if they confirm that the unit economics are sound, provide a level of commercial confidence that no amount of lagging-indicator comfort can match. If they reveal that the engine is under pressure, they do so early enough for that pressure to be addressed before it becomes visible in the metrics that the board, the investors, and the market are watching.

As Mark Jeffery of the Kellogg School of Management puts it: ‘if you can’t tie marketing to the P&L, you’ll always be fighting for budget.’³ The question is not whether to know. The question is whether to know now, or later.