Most founders are measuring the wrong things. Not because they're not smart — they are — but because the startup ecosystem has a chronic obsession with metrics that look impressive in a deck and mean almost nothing for actual progress. Website traffic. LinkedIn followers. Total signups. App store downloads. These numbers go into slides and board reports and Twitter threads. They don't tell you whether you're building a business.
The real problem isn't a lack of data. It's a lack of clarity about what question you're trying to answer. And the answer changes depending on where you are in the journey. A metric that's critical at £50k MRR is nearly irrelevant at £500k. Here's a practical framework for what to track — and when.
Leading vs Lagging Indicators
Before we get into specific metrics, you need to understand this distinction. It's the most important concept in startup measurement, and most founders still get it wrong.
Lagging indicatorstell you what already happened. Revenue, churn, NPS, headcount — these are outputs. They tell you the score at the end of the match. Useful for understanding the past. Not useful for changing the future in time to matter.
Leading indicatorstell you what's likely to happen. Number of discovery calls booked, qualified pipeline coverage, time-to-first-value for new customers — these are inputs. They tell you what the score will probably be in 30 or 60 days. These are the metrics that allow you to intervene.
"If you only track revenue, you'll know you've missed your target three weeks after it's too late to do anything about it."
Good metrics dashboards have both. But founders tend to fixate on lagging indicators because they're cleaner and easier to report. The hard work is identifying the two or three leading indicators that genuinely predict your outcomes — and those are different for every business.
Pre-Revenue: What to Track
At this stage, you don't have revenue metrics. That's fine. But you can't just shrug and track nothing. There are meaningful signals available if you're looking for the right ones.
Weekly conversations with potential customers
How many substantive conversations are you having each week with people in your target ICP? Not demos — conversations. Exploratory calls where you're genuinely learning. This is your primary signal at this stage. If the number is under five per week, you're not learning fast enough. And "I don't have time" is not an acceptable answer — this is your job right now.
Qualitative signal from ICP
Are the people you're talking to describing the problem in the same way you're framing it? Are they pulling you toward a solution, or politely nodding? Are any of them asking when they can use it, or offering to pay? These qualitative signals are more valuable at pre-revenue than any quantitative measure. Keep a running log. Look for patterns.
Conversion from conversation to commitment
Of every ten conversations, how many result in any kind of commitment — a letter of intent, a paid pilot agreement, even an introduction to a decision-maker? If this number is consistently zero, the problem-solution fit is off. If it's three or four, you're onto something.
Early Revenue: The Metrics That Define the Model
Once you have paying customers — even a handful — the metrics that matter shift significantly. Now you're trying to answer one fundamental question: is this a real, repeatable business?
MRR growth rate
Not absolute MRR — growth rate. At early stage, the absolute number is small and not very meaningful. What matters is the trajectory. Month-on-month growth above 15% is strong. Below 5% and you have a problem worth investigating urgently. Track it monthly, but understand that it will be noisy — a single large customer joining or leaving can distort the picture significantly.
Churn
Gross revenue churn is the number most founders undertrack and underweight. The market average for B2B SaaS is around 5-7% annually. If you're above 10%, you don't have a retention problem — you have a product-market fit problem. Churn this high means customers are not getting the value you promised. More customers will not solve this. Fix retention first.
CAC vs LTV ratio
Cost to acquire a customer vs lifetime value. Target ratio: 1:3 or better. That means for every £1 you spend acquiring a customer, you generate £3 in lifetime value. Below 1:2 and the economics are questionable. Below 1:1 and you're burning money to shrink. Calculate both honestly — CAC should include all sales and marketing costs including founder time at a market rate.
Sales cycle length
How long does it take from first contact to signed contract? This tells you two things: how complex your sales process is, and how predictable your revenue is. A 90-day average sales cycle means your pipeline today converts to revenue in three months. Plan accordingly. If the cycle varies wildly (some deals close in two weeks, others take six months), you probably don't have a well-defined ICP — you're selling to anyone who'll listen.
Scaling: The Metrics That Test the Machine
Once you're past £500k ARR and building a sales team, the metrics shift again. Now you're not just asking "does this business work?" — you're asking "does this business work when I'm not the one doing it?"
Win rate by segment
Of the deals you pursue, what percentage do you close — and does that rate hold when you segment by company size, industry, or buyer persona? Win rates below 20% in your target segment suggest positioning or qualification problems. Win rate variance across segments tells you where you're strongest and where you're wasting effort.
Pipeline coverage
Pipeline coverage is total pipeline value divided by your revenue target for the period. A healthy ratio is 3:1 — you need £300k in pipeline to reliably close £100k. If your coverage drops below 2:1, you have a lead generation problem and the revenue miss is already baked in, even if no deals have closed yet. This is the most important leading indicator for a sales team.
Rep ramp time
How long does it take a new sales hire to reach full productivity? Industry benchmark for B2B SaaS is roughly three to six months. If your reps take nine months to ramp, your onboarding is broken, your sales process isn't documented, or you're hiring the wrong people. All three are fixable, but you need to know which one it is.
The Rule: Three to Five Metrics, Maximum
Here's the principle that ties all of this together. At any given stage, you should have no more than three to five metrics that you check weekly and hold yourself accountable to. Not twenty. Not ten. Three to five.
More than that and you're not measuring your business — you're avoiding the discomfort of admitting which two metrics actually define whether you're winning or losing. Every metric beyond five is a distraction. It's something to present to investors rather than something to run the business on.
Pick the metrics that answer your most critical question right now. Pre-revenue: are you learning fast enough? Early revenue: is the model working? Scaling: is the machine replicable without you? Answer that question clearly, with the smallest number of indicators possible. Then act on what you see.
The founders who get this right aren't smarter than the ones who don't. They're just more willing to look at the number that tells the uncomfortable truth.