KPIs & reporting

Most sales teams don't suffer from a lack of numbers. They suffer from the opposite: dozens of columns in the CRM, three different exports that don't say the same thing, and no one who knows which number to look at on Monday morning. Reporting isn't about piling up data. It's about choosing the small number of metrics that genuinely help you decide, and looking at them often enough to act before it's too late.

When I arrive as a fractional Head of Sales, I almost always start by cutting. We remove the superfluous, keep the essential, and put back a clear read of performance. Here is how I reason, step by step.

The metrics that genuinely matter

Five metrics are enough to understand the health of a B2B sale. If you only tracked those, you would already know the essentials.

• The conversion rate. The share of deals that move from one stage to the next, and ultimately the share that turns into a customer. It's the first signal of the quality of your selling. A rate that drops at a specific stage tells you exactly where it jams. To dig into the topic and the benchmark figures, I've written a full guide on the B2B sales conversion rate.
• The sales cycle length. The average time between first contact and signature. A cycle that lengthens for no reason is often the sign of loose qualification: you keep deals in the pipe that will never happen.
• The average deal value. The average amount of a signed contract. It tells you whether you're selling to the right clients, whether you're moving upmarket, or whether you're wearing yourself out on small deals that eat as much time as the big ones.
• Pipe coverage. The ratio between the open pipeline and the target to reach. People often mention a factor of three to four times the target, but the right figure depends on your win rate. It's the metric that warns you months ahead that a gap is forming.
• The win rate. The share of seriously engaged deals that you win. It reveals the strength of your offer against the competition and the quality of your upstream qualification.

These five metrics don't live separately, they light each other up. A low win rate with a lengthening cycle doesn't tell the same story as a high win rate on few deals. It's by reading them together that you understand what's really going on.

Telling activity from result

It's the most useful distinction, and the most often neglected. Not all metrics are equal, and above all they don't serve the same purpose.

An activity metric measures what the team does: number of meetings obtained, calls made, proposals sent, follow-ups. It's what you can decide to increase tomorrow morning. You have your hand on it.

A result metric measures what that activity produces: signed revenue, conversion rate, cycle length. You can't decree it, you can only observe it. It always arrives with a lag.

The steering rule holds in one sentence: you track the result to know where you stand, you act on the activity to move it. If your signed revenue is low, you can't force it directly. On the other hand you can decide, this very week, to raise the number of discovery meetings. That's why we speak of leading indicators, activity, which announce the lagging indicators, the result. When a leader tells me their revenue isn't following, my first question is always about the activity of six or eight weeks ago.

Building a readable dashboard

A good dashboard reads in thirty seconds. If you have to explain it, it has failed. A few principles I apply systematically.

• One single page. If you have to scroll, you've already lost. The essentials fit on one screen: the month's revenue, pipe coverage, win rate, cycle, average value.
• The number, its target, its trend. A number alone says nothing. Forty thousand euros signed, is that good or bad? It depends on the target and on last month. Always show the value, the target aimed for, and the direction it's moving.
• One colour, one decision. Green and red aren't there to decorate, they're there to tell you where to look first. If everything is red, nothing catches the eye anymore.
• One single source. The dashboard plugs into the CRM, not a hand-filled file that diverges by the second week. That's the whole point of a well-kept process and CRM: reporting is only worth as much as the data that feeds it.

I always distinguish two levels. The leader's dashboard, geared to result and trend, to decide where to put the energy. And the rep's dashboard, geared to activity and open deals, to steer their own week. Serving the same dashboard to both is a frequent mistake: the leader drowns in the detail, the rep doesn't recognise themselves in figures that are too aggregated.

The forecast: predicting without kidding yourself

The forecast is the sales prediction: how much you think you'll sign this month, this quarter. It's the most useful exercise and the most often botched, because it gets confused with wishful thinking. A good forecast isn't optimistic, it's honest.

The simplest method is to weight each deal by its real probability of signature, stage by stage, then add them up. A deal in the discovery phase doesn't weigh as much as a deal awaiting signature. That still requires your pipeline stages to mean something, with clear criteria to move from one to the next, otherwise the weighting rests on nothing.

The classic trap is the inflated forecast: deals you let drag at the end of the cycle because you don't dare declare them lost. They pollute the prediction and mask the real gap. Forecast discipline is also the courage to take a deal out of the pipe when it stops moving. A clean pipeline is worth more than a reassuring one. I'd rather a slightly pessimistic forecast that comes true than a brilliant forecast no one believes anymore after two quarters.

Steering without drowning the team in numbers

Measuring is useless if no one changes their behaviour. Reporting only has value in the ritual that goes with it. My framework holds in three beats.

• A short weekly check-in, fifteen to twenty minutes, centred on open deals and the week's activity. We look at what's moving, what's stuck, and what we decide for the following week.
• A monthly review, calmer, centred on result metrics and trends. That's where we adjust course, talk about skill-building and look at the quarter's forecast.
• Individual coaching, where the numbers serve to help, not to judge. A low conversion rate at the discovery stage isn't a fault, it's a concrete point to work on.

The data must inform the conversation, not replace it. A team hammered with numbers ends up filling them in mechanically, without looking at them, and the CRM becomes a chore instead of a tool. The goal is never to measure everything, it's to measure just enough to decide better. Fewer metrics, but metrics that trigger an action: that's what sets apart a team that steers itself from a team that contemplates itself.

The vanity metrics to avoid

Some figures do the ego good and the decision none. They're called vanity metrics. They share one thing: they almost always go up, and they never trigger anything.

• The total number of contacts in the database. Having fifty thousand contacts says nothing about your ability to close. It's a figure that reassures and never helps.
• The volume of unqualified leads. A thousand leads you don't know match your ideal client are worth less than fifty qualified leads. Raw volume masks quality.
• The inflated total pipeline. A two-million-euro pipe that contains deals dead for six months is a comfortable illusion. Only the qualified, recent pipe counts.
• The number of activities for their own sake. Five hundred calls a week are worth nothing if none generates a meeting. Activity is only useful tied to a result.

The test is simple: if a metric can only go up, and no decision follows when it moves, it's a vanity metric. A good metric, by contrast, can go down, and when it does, it forces you to act.