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Free Tool
Find out how fast revenue moves through your pipeline, which lever has the biggest impact, and score your revenue intelligence maturity.
Launch CalculatorMost revenue teams obsess over pipeline size. They track how many deals are in the funnel and call it progress. But a pipeline full of slow-moving, under-qualified deals is just a comfort metric. What matters is how fast that pipeline converts to revenue.
Pipeline velocity tells you exactly that. It combines four levers (opportunities, win rate, deal size, and sales cycle length) into a single number that represents how much revenue moves through your pipeline per day. Change any one of those levers by 10% and you will see a different velocity entirely.
This calculator does the maths, shows you which lever has the biggest impact, and lets you model what-if scenarios across all four simultaneously. But it goes further than the formula.
Below the velocity calculator, you will find a 10-question Revenue Intelligence Assessment. It scores your team across two dimensions: signal-based qualification (how intelligently you qualify and prioritise deals) and signal-driven outbound (how effectively your prospecting uses intent data and automation).
Your score maps to a velocity gap, showing the estimated uplift you are leaving on the table by not operating with full revenue intelligence. Teams moving from manual, reactive processes to signal-driven systems typically see 15-45% velocity improvements. The assessment shows you exactly where that gap lives in your operation.
Pipeline velocity uses a straightforward formula: (Opportunities x Win Rate x Average Deal Size) / Average Sales Cycle in Days. The result tells you how much revenue moves through your pipeline per day.
The lever impact analysis tests what happens when you improve each input by 10%. For most teams, one lever dominates. Shortening the sales cycle by 10% has a different velocity impact than adding 10% more opportunities, and the calculator shows you exactly which one moves the needle furthest.
The what-if scenario builder lets you drag all four levers simultaneously. Model what happens if you increase opportunities by 20% while cutting sales cycle by 15%. The compound effects are often surprising.
The diagnostic scores you across 10 questions, each worth 0-3 points across two categories. Signal-Based Qualification measures how your team qualifies deals, uses intent data, tracks stakeholder engagement, prioritises pipeline, and automates stage progression.
Signal-Driven Outbound measures how you build prospect lists, trigger sequences, personalise messaging, use intent data for prospecting, and handle replies and engagement.
Your total score maps to a maturity tier. Teams scoring below 30 are operating manually and reactively. Teams between 31-55 are partially instrumented. Teams between 56-80 are signal-aware. Above 80, you are signal-driven. The velocity gap model estimates how much additional velocity you could unlock by moving toward signal-driven operations.
This calculator shows you the number. GTM Layer builds the systems that move it. We wire signal-based qualification into your CRM, build intent-driven outbound infrastructure, and automate the handoffs that slow deals down. The result is faster pipeline that converts at higher rates with less manual effort.
Talk to us about your pipeline velocityView the source code on GitHubPipeline velocity measures how much revenue moves through your pipeline per day. It combines four levers into a single metric: opportunities, win rate, deal size, and sales cycle length. It matters because a large pipeline that moves slowly produces less revenue than a smaller pipeline that converts quickly.
Multiply your number of qualified opportunities by your win rate and average deal size, then divide by your average sales cycle in days. The result is your daily pipeline velocity in revenue terms. This calculator does the maths and shows you which lever has the biggest impact.
There is no universal benchmark because velocity depends on your deal size, sales cycle, and market. What matters is the trend and the relative impact of each lever. A team closing enterprise deals at $100k with a 90-day cycle will have a very different velocity than an SMB team closing $5k deals in 14 days.
It is a 10-question diagnostic that scores how intelligently your systems generate and qualify pipeline. It measures signal-based qualification and signal-driven outbound maturity, then estimates the velocity gap between your current operation and a fully signal-driven approach.
The lever impact analysis in the calculator shows you exactly which 10% improvement moves velocity the most for your specific inputs. For most B2B teams, shortening the sales cycle or improving win rate has a disproportionate effect compared to simply adding more opportunities.