GTM metrics fall into three tiers. Lagging indicators tell you what happened: revenue, customer count, market share. These are the numbers your board cares about, but by the time they change, it is too late to react. Operating indicators tell you how the machine is running: pipeline coverage, win rate, sales cycle length, CAC. These metrics are actionable -- when they deteriorate, you can diagnose and fix the cause. Leading indicators predict what will happen: website traffic trends, content engagement, outbound activity levels, demo request volume. These give you the earliest warning signals and the most time to respond.
Most companies over-invest in tracking lagging indicators and under-invest in leading indicators. The CEO who obsesses over monthly revenue but does not track weekly demo request trends will always be reacting to problems instead of preventing them. Build a dashboard that starts with leading indicators and cascades down to lagging indicators, creating a clear causal chain from activity to outcome.
Pipeline coverage ratio is the single most important operating metric for B2B sales. It measures the ratio of total pipeline value to your revenue target for a given period. The standard benchmark is 3x: you need EUR 3 million in pipeline to close EUR 1 million in revenue. If your historical win rate is lower than 33%, you need higher coverage. Track pipeline coverage weekly and set alerts when it drops below target -- a coverage gap today becomes a revenue miss in 90 days.
Pipeline velocity measures how fast deals move through your funnel. It is calculated as: (number of deals x average deal value x win rate) / average sales cycle length. Pipeline velocity normalizes all four variables into a single number that tells you how much revenue your pipeline generates per day. Any improvement in deals, deal size, win rate, or cycle length improves velocity. This metric is particularly useful for comparing the performance of different sales teams, channels, or market segments on an apples-to-apples basis.
Stage-to-stage conversion rates reveal where deals get stuck or fall out. Track the percentage of deals that advance from each pipeline stage to the next. If your discovery-to-proposal conversion is 70% but your proposal-to-close conversion is only 20%, you know the bottleneck is in the closing stage. This might indicate weak proposals, pricing issues, or competitive losses -- each of which requires a different intervention.
Customer Acquisition Cost (CAC) measures the fully loaded cost of acquiring one new customer. Include all sales and marketing costs: salaries, commissions, advertising spend, tools, events, and overhead. Segment CAC by channel, market, and customer type to understand where your acquisition is most and least efficient. A blended CAC number hides the fact that some channels are highly efficient while others are burning money.
LTV-to-CAC ratio tells you whether your acquisition spending is sustainable. A ratio below 3:1 means you are spending too much to acquire customers relative to the value they generate. A ratio above 5:1 might mean you are under-investing in growth -- you could afford to acquire customers more aggressively. CAC payback period tells you how many months it takes to recover your acquisition investment from a customer's gross margin contribution. For SaaS companies, a payback period under 12 months is excellent, 12-18 months is acceptable, and above 18 months signals a problem with either acquisition costs or pricing.
Marketing teams often track dozens of metrics that do not connect to revenue outcomes. Focus on the five that matter most. Marketing-sourced pipeline: what percentage of your total pipeline was generated by marketing activities? This is the primary measure of whether marketing is pulling its weight. Marketing-influenced pipeline: what percentage of closed deals involved at least one marketing touchpoint? This captures the broader impact of marketing on deals that were sourced by sales but nurtured by marketing.
Cost per opportunity: what does it cost marketing to generate a qualified sales opportunity (not a lead -- an opportunity that sales has accepted)? This metric forces marketing to focus on quality over quantity. Content-to-opportunity conversion: for each content asset, what percentage of engagers eventually become opportunities? This reveals which content is actually driving pipeline versus generating vanity traffic. Website conversion rate: what percentage of website visitors take a meaningful action (demo request, trial signup, contact form submission)? For B2B SaaS, a healthy conversion rate is 2-5% for high-intent pages (pricing, demo request) and 0.5-1% for informational pages.
A good GTM dashboard fits on one screen and can be read in under 60 seconds. It should answer three questions: Are we on track to hit our revenue target? Where are the gaps? What is the earliest signal of a problem? Structure the dashboard in three sections: top row shows leading indicators (weekly demo requests, pipeline created, outbound activity), middle row shows operating indicators (pipeline coverage, win rate, sales cycle length, CAC), and bottom row shows lagging indicators (revenue, new customers, NRR).
Update the dashboard daily for activity metrics and weekly for outcome metrics. Review it in a 15-minute weekly GTM standup with sales, marketing, and product leadership. The review should follow a strict format: what changed this week, what are the implications, and what are we going to do about it. If a review meeting consistently produces no action items, either the dashboard is tracking the wrong metrics or the team is not using it to make decisions. In either case, fix the dashboard or fix the meeting -- a dashboard that does not drive action is just decoration.
Parte della nostra guida completa: Go-to-Market Strategy →
Questo articolo fa parte del nostro knowledge hub su go-to-market strategy. Leggi la guida completa per un framework strategico completo.
Il nostro team aiuta le aziende a implementare i framework e le strategie trattate in questo articolo.
Contattaci