Sales Capacity or More Leads? Test What Carries First

A gap to target is not automatically a pipeline gap. Before a company buys more leads or hires sales reps, three questions clarify whether volume is the lever. They ask how pipeline coverage moves over time, who already reaches the requirement, and whether the best reliable value of the company's own cohort closes the gap.

The gap is there, and two requests are on the table

The target for the year is set, and revenue won stays behind it. Two requests may then reach the leadership team. Marketing is to deliver more leads. Sales is to get more sales capacity, meaning more sales reps.

Both requests share one assumption: quantity is missing. More inflow or more heads are meant to close the gap. That assumption can be tested before money moves.

Funnel Economics describes two fallacies that arise at this point, and an order of questions that makes them visible. This article gives no verdict on whether your company needs more leads or more heads. It shows what to measure first.

First fallacy: more inflow

The method calls this fallacy the Marketing Spend Fallacy. The symptom has three parts. Volume at the top of the funnel grows markedly. The expected value of the funnel does not grow with it. At the same time the stage win rate in the middle of the funnel falls.

The stage win rate is the share of deals won among the decided deals that stood in that stage. It is not a rate from one stage to the next. Funnel Economics uses it to form bEFV, the structural expected value, and from that rEFV, the risk-adjusted revenue expectation.

When volume grows and the expected value does not follow, one step suggests itself. Translate the gap into pipeline at the carry of the pipeline already held, and order that much more inflow. This mechanical step multiplies the problem by itself. It asks a pipeline that already fails to carry to become several times its size.

A related pattern describes the situation in which the expected value falls across several periods, not merely stagnates: strategic decoupling, when pipeline grows and its expected value falls.

Second fallacy: more heads

The method calls this fallacy the Sales Capacity Illusion. Sales management asks for new headcount. At the same time the dwell time in the stages exceeds the respective SLA value, measured as BPV, and the development per sales rep is weakening.

Per sales rep and period, Funnel Economics measures, among others, two quantities for this. The first is the decided-row win rate. The second is CIF (Commercial Impact Factor), the share in what the team has won. What is read is the direction across several periods, with the number of decided deals beside it. A single point with few cases is noise.

Precision pays with the SLA values. The health band of SLA Health compares the total age of an opportunity with the SLA values of its stage. BPV (Build-to-Perform Variance) compares the time in a stage with its SLA. The health band does not measure standstill.

The question behind the symptom is narrower than the capacity question: does the existing team turn the opportunities it has into closed deals? Funnel Economics does not hold what a sales rep costs. The method therefore does not answer whether an additional position pays off.

Three questions in a fixed order

Both fallacies answer the same question too early: do we need more volume? Three questions come before it. Their order is not interchangeable: the first two come before any talk of budget, the third before any demand for more volume.

1. How does coverage move over time?

Nominal pipeline coverage is the open pipeline volume divided by the remaining gap to target. HACR (Health-Adjusted Coverage Ratio) uses rEFV in place of the volume. The two are read as a pair.

A level is not a finding; a movement is. Read the series across several periods before calling any level high or low.

The requirement moves as well. It can be calculated from your own qualified Win Rate, not from a rule of thumb. Where that win rate has moved, the requirement has moved with it, even if coverage looks unchanged.

2. Who already reaches the requirement?

Where some sales reps reach the requirement and others do not, the gap is not structural. It is then a question of development or of staffing. That is the uncomfortable reading.

How the same question looks per person is described in the whitepaper Sales Performance Management: Looking Back and Ahead.

3. Does your own best close the gap?

The third question compares two values. The first is the coverage you already have. The second is the coverage you would need if the whole cohort carried like its best reliable value. The cohort is the comparison group of sales reps in the same cut. Reliable means: measured on enough cases, not on a handful of deals.

If that requirement lies below the coverage you have, the gap is a conversion gap. More inflow is then the wrong instruction.

If the requirement lies above it, the comparison says exactly one thing: coaching to your own best does not close the gap. It does not say that volume is the answer.

That needs a further test: whether your own best is a usable reference at all. Where the whole cohort carries badly, its best carries badly too. A requirement of several times the gap is then a statement about the qualified win rate, not about volume.

The reverse conclusion is just as wrong. Whoever converts well and has too little pipeline needs volume. Recommending process discipline there spends the one thing that is not in short supply.

There is no fixed threshold for “far above”. Whether a requirement lies far above the coverage you have is a judgement you make with the figures in front of you.

A gap to target is not automatically a pipeline gap: only when your own best does not close it, and holds up as a reference, is volume the lever.

What to check before the decision

The two fallacies lead to no instruction, but to an order.

1. Answer the three questions, in this order.
2. Check your own SLA values: do they fit the history of the deals you won?
3. Only then talk about budget or positions.

While the SLA values are unchecked, a high share of old deals describes the configuration of the SLA values first, not the behaviour of the sales team. The check runs per opportunity type, not once for the whole company.

All quantities of one calculation belong to the same cut, for example the same opportunity type and the same period. A requirement from one cut against a budget from another is two questions divided by one another.

What more inflow costs can be calculated only with unit costs your company itself supplies: per lead, per MQL (marketing qualified lead) and per opportunity. Funnel Economics does not hold these costs itself. Where the figures are missing, there is no cost figure, and no zero either. The same rule applies to the cost of the stock already held. It is set out in the article Cost of Inaction in the Sales Pipeline: What EVL Shows.

The order does not carry two conclusions. It is not an instruction to take deals out of the pipeline. And it promises no effect: the quantities describe a state, not the result of a measure.

First check whether the pipeline carries and whether the SLA values fit the win history. Only then does the question of budget or positions have a reference point.

When both fall short: the market as a hypothesis

Where inflow and the qualified win rate reach their best measured level and the calculation still does not close, the chosen approach does not carry the target. That remainder is a pointer, not a verdict. Product, segment, pricing and competition all produce the same remainder. Separating them is not a funnel question.

A finding of its own points the same way. The stage win rate of a middle or late stage falls, and not for single sales reps or regions, but across the majority of the performing cohorts. The method reads that as a hypothesis about a cause outside sales. More on this in the article on global stage attrition, when the stage win rate drops across most teams.

Counter-probes come before that conclusion. Is the series long enough? One period is noise. Has the qualified win rate itself moved, and since when?

Which questions these quantities answer for the chief executive is described on the page Revenue Forecast for CEOs. The finance view is on the page Sales Forecast for CFOs, the sales leadership view on the page for the CRO who owns the forecast.