Sales Velocity Analysis

Most B2B sales teams track the wrong pipeline metric. They obsess over pipeline value. They ignore pipeline velocity. That's why their forecasts are always wrong. Pipeline Velocity is the single metric that tells you how fast money is moving through your revenue engine. The formula: Pipeline Velocity = (Number of Deals × Win Rate × Avg Deal Size) ÷ Sales Cycle Length Example: 50 deals × 30% win rate × $18,000 avg deal × 45-day cycle = $6,000/day flowing through your pipeline. Now you have a number you can actually manage. When velocity drops, you know exactly which lever broke: → Fewer deals entering pipeline? ICP targeting problem. → Win rate falling? Discovery or competitive positioning problem. → Avg deal size shrinking? Discounting or expansion motion problem. → Sales cycle stretching? Qualification or champion enablement problem. Without velocity, you're guessing which one to fix. With it, the data tells you. I calculate pipeline velocity in week one for every new engagement. At a $14M ARR SaaS company last year, the velocity calculation revealed their real problem wasn't lead volume it was a 67-day average sales cycle that should have been 35. Everything pointed to champion enablement. Buyers liked the product. Internal selling was falling apart. We built a champion toolkit: a one-pager, a risk-reversal FAQ, and a business case template buyers could use to sell upward. 90 days later: → Average sales cycle: 67 days → 38 days → Win rate: 29% → 44% → Pipeline velocity: up 2.7× Same product. Same team. Different system. Take 10 minutes today. Pull your last 30 closed deals. Calculate your pipeline velocity using the formula above. Then ask: which of the 4 levers is your biggest drag? The answer is almost always obvious once you see the number. Save this post. Share the formula with your RevOps or sales leader. It's the first thing I'd fix before spending another dollar on pipeline generation. Which lever is dragging your pipeline velocity most right now deal volume, win rate, deal size, or cycle length? Drop it below. I'll tell you where I'd start.

𝗥𝗲𝘁𝗿𝗼𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗦𝗮𝗹𝗲𝘀 𝗩𝗲𝗹𝗼𝗰𝗶𝘁𝘆 (𝗼𝗿 𝗗𝗲𝗮𝗹 𝗩𝗲𝗹𝗼𝗰𝗶𝘁𝘆) This post is complex but explains why most of what you've been told about Sales Velocity is fundamentally flawed! In the last post, I showed how the normal "Sales Velocity" calculation is NOT a "performance metric" but a forecast of the flow of near-term revenue recognition. But Sales Velocity has a twin that is an actual performance metric because it looks at actual revenue vs. being a guess about future revenue that may or may not ever happen. This is the "Retrospective Sales Velocity (rSV)" or Deal Velocity. -- 👉 Sales Velocity is an inverse amortization process. So what does that mean? Amortization is a finance technique in which a one-time expense (like an annual SaaS subscription) is allocated over the period the subscription will be used. So, a $1,200 annual SaaS fee would be "expensed" at the rate of $100/month for 12 months. 🔴 Sales Velocity does this (in reverse time) for a revenue recognition event! If you closed a $10,000 deal today and it took 10 weeks of sales effort, then you "allocate" that revenue event over the "sales cycle" to show a "Sales Velocity" of $1000-per-week. It allocates that point-in-time revenue event backward over the X-Weeks it took to close the deal. EACH sales event has its own "Sales Velocity," and these can be added together week-by-week (or any given time period) for all closed-won deals to create an overall "Sales Velocity." -- Because we're looking at ACTUAL revenue based on closed-won deals, this becomes a "Performance Metric". The "normal" way of measuring Sales Velocity does not involve ever looking at actual revenue...it merely involves guessing what revenue flow might look like in the future. You CANNOT EVER use a forecast to measure "performance"...PERIOD! 👉 A "forecast" is a guess about things that might (or might not) happen in the FUTURE. 👉 A "performance metric" is a measure of what ACTUALLY happened in the PAST! The past is not the future...you cannot measure performance based on guesses about the future! When the CFO is reporting to investors about the "performance" of the company, they report out the P&L Statement, which looks at ACTUAL revenue and expenses that ACTUALLY occurred. They do NOT report last year's rosy, optimistic "Sales Forecast" or expense budget...that would be (literal) criminal malfeasance. -- In the graphic below, I show exactly how to calculate rSV (or Deal Velocity) based on actual revenue from closed-won deals. So much of the complexity and errors surrounding the use of the Forecast Version of Sales Velocity disappear. You can calculate rSV for each individual deal and easily aggregate that data for ANY set of time periods (week/month/quarter/year). You can also easily allocate rSV for individual pipeline sources, sales reps, or product lines. And now you're measuring ACTUAL marketing against ACTUAL revenue instead of against guesses about future revenue!

THE BOARD SABOTAGED SALES. A CEO just declared: “We’re gonna hit $20M in revenue this year… because the board decided so.” No bottom-up reality check. No clear conversion math. No forecasting framework. Meanwhile, 69% of sales reps miss their quota in B2B Tech. The harsh truth? If your revenue goal isn’t tied to pipeline, win rates, and deal velocity, it’s not a goal. It’s a shot in the dark. We live in a data-fueled GTM era, and you just can’t cheat anymore. HERE’S 3 WAYS TO TEST TOP-DOWN TARGETS AGAINST BOTTOM-UP REALITY. 1. Full-Year Predictive Sales Forecast A real forecast isn’t just about projecting short-term revenue from your existing pipeline and hoping the rest falls into place. It’s about understanding how your sales engine actually works - tracking pipeline generation, win rates, and sales cycle length - to calculate a realistic full-year projection. And it’s not about averages. Start with each country, product line, and team individually, then sum them up to get a forecast that truly reflects how revenue is generated across the business. 2. Reverse-Engineered Growth Plan Start with your revenue goal, then apply your target growth percentages to last year’s conversion funnel broken down by country, product line, and team. How many new opportunities, proposals, and closed deals does that require? What level of activity needs to happen to support it? The numbers need to match both market reality and operational capacity. 3. Sales Velocity Lever Check Revenue growth comes down to four levers: deal size, win rate, sales cycle length, and pipeline volume. The key is knowing which of these actually drive growth and how they interact. Look at your 12-month trend for each by country, product line, and team. Where are improvements happening? Where are things stalling? Which shifts will have the biggest impact on hitting your goal? If your growth plan relies on improving performance this year, the trends should already be moving in the right direction. TAKEAWAY Win rates have dropped by 20 percentage points over the past years, sales cycles keep getting longer, and deal sizes are shrinking. Hoping for a sudden turnaround without real evidence won’t cut it. You can’t expect your board to be sales target experts, but you can give them the data to keep goals grounded in reality. No more BS targets just to please the board. No more CRO shoulder shrugs when it’s time to hit them. How do you balance ambition with reality in goal setting?

Sales owns pipeline velocity. Marketing built it. Nobody told marketing. It isn’t about talking less. It’s money slipping away. Pipeline velocity is a formula most marketers have never seen: (Deals × Win Rate × Deal Value) / Sales Cycle Length Four variables. Four levers. Marketing pulls every single one before sales even picks up the phone. Deals in pipe come from your top-of-funnel. Win rate moves with your positioning and ICP fit. Deal value shifts when your messaging matches the right segment. Sales cycle shrinks when buyers arrive already educated. You're not feeding the pipeline. You're setting its speed limit. Here's what that looks like in practice. Take a typical EU B2B SaaS scale-up: 40 deals in pipe, 22% win rate, €30k ACV, 84-day sales cycle. Velocity: €3,143/day. Now marketing gets serious. ICP targeting tightens. Content starts educating buyers before they ever talk to sales. Segment focus sharpens. 50 deals. 26% win rate. €30k ACV. 70-day cycle. Velocity: €5,571/day. A 77% increase. Same product. Same sales team. Same price. Marketing moved all four levers, and nobody in the board meeting connected it back to the campaigns. Because in most B2B SaaS companies, marketing reports MQLs, sales reports velocity, and the CFO watches CAC climb while nobody connects the dots. So the budget gets cut. Marketing is "discretionary spend" with no straight line to revenue. And honestly? That CFO isn't wrong. If you can't show how your work moves deals faster, you don't own the metric. You just influenced it quietly and hoped someone noticed. They didn't. The question isn't whether marketing impacts pipeline velocity. It does. Always. The question is whether you can prove it in a room full of people who only speak revenue. Can you? ___ Hi 👋 I'm Nevlynn. Your boardroom marketer. I went from creative to strategic with one focus: marketing that shows up in pipeline, not slide decks. PS: Do you find my content interesting you can help me by → 👍 ↳ Or better, comment (I promise I will react or reply) ↳ Save it 💾 ↳ Repost with your network ♻️

Revenue isn’t just about "more pipeline” — it’s about deal size, win rate, and sales length. It’s about levers, not luck. Enter the sales velocity equation: 💡 Sales Velocity = (# of Opps) × (Deal Value) × (Win Rate) ÷ (Sales Cycle Length) This isn’t just a formula—it’s a set of levers you can adjust to hit your goal. Need to increase revenue? You have options: - Bring in more qualified opportunities - Increase deal value, aka as average sales price (ASP) or annual contract value (ACV) - Increase win rate (% of qualified prospects that ultimately make a purchase) - Shorten the sales cycle Every input impacts the others. If win rate drops, you need more or bigger deals to compensate. If deal value increases, you need fewer deals—but cycles may slow down. And don’t just assume your pipeline coverage should be 3-5x. 🤯 Quick mind blowing tip: Your target pipeline coverage should be the inverse of your win rate! I remember being amazed at how useful this equation (100 / win rate = pipeline coverage target) was when I first learned it… years after I became responsible for a revenue team. - Win rate = 20%? You need 5x coverage. - Win rate = 50%? You only need 2x coverage. - Win rate = 10%? You need 10x coverage (and TBH, probably a GTM rethink). Before committing to hire more AEs or raise quotas, check your levers. Sales velocity isn’t just a number—it’s the foundation of a smart revenue plan. 👉 Which sales velocity lever is your company’s biggest constraint right now? Don’t know? That’s okay. Find some time this week to research or ask. This information is crucial to be a strong business partner to a sales organization.

Do you know what sales velocity is and why it’s important to measure this indicator? I talked to many sales leaders recently, and not all of them know about sales velocity, let alone measure it. The formula is: (𝐍𝐮𝐦𝐛𝐞𝐫 𝐨𝐟 𝐃𝐞𝐚𝐥𝐬 𝐢𝐧 𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐱 𝐀𝐯𝐞𝐫𝐚𝐠𝐞 𝐃𝐞𝐚𝐥 𝐒𝐢𝐳𝐞 𝐱 𝐖𝐢𝐧 𝐑𝐚𝐭𝐞) / 𝐒𝐚𝐥𝐞𝐬 𝐂𝐲𝐜𝐥𝐞 𝐋𝐞𝐧𝐠𝐭𝐡 In simple terms, sales velocity is the speed at which you generate revenue. Is it important? Of course. But what's also important is how this indicator helps in several areas. Let’s look at how sales velocity is extremely helpful: 1️⃣ Defining Low-Performing Reps By calculating sales velocity for different sales reps on your team, you can clearly identify which ones have low sales velocity and need coaching. 2️⃣ Defining Bottlenecks in the Sales Pipeline By calculating sales velocity for each pipeline stage, you can clearly identify at which stages revenue slows down. The formula is: (Number of Deals in Stage x Average Deal Size in Stage x Stage Conversion) / Average Time in Stage 3️⃣ Sales Forecasting Sales velocity is one of the forecasting methods. By knowing how much revenue you close daily or monthly, you can project what to expect in future periods. 4️⃣ Identifying Overcapacity and Need for Hiring Sometimes, low sales velocity can indicate that there are too many deals in a pipeline for one sales rep to handle. Too many deals can lead to decreased efficiency, lower win rates, and longer sales cycles. Sales velocity can help identify this issue. 5️⃣ Assessing Overall Sales Health If your sales velocity remains high or even continues to grow, it means you don’t have any significant performance gaps. It indicates that all factors contributing to sales velocity, such as win rate, average deal size, and sales cycle length, are in good shape. Many sales teams don’t measure this important indicator because it’s not easily done in most CRMs. You either can’t do it, or you need to create time-consuming custom reports. Forecastio tracks this crucial indicator in real-time and signals if it worsens.

Why SMB Sales Velocity Matters In SMB software sales, velocity isn’t just a metric. It’s the difference between hitting your number and falling short. The maths If your ACV is £10K vs £100K, you need 10x the deals to hit the same target. A deal that takes 30 days instead of 15 doesn’t just delay revenue. It ties up capacity that could work on other opportunities. Why SMB buyers demand speed They have immediate pain points. Shorter approval cycles. Limited patience for lengthy sales processes. When they reach out, they’re ready to move. If you can’t match their urgency, they’ll find someone who can. The compounding effect Shaving just 15 days off your average sales cycle might not sound dramatic. But faster cycles mean more deals closed per rep, per year. More revenue per head. Better unit economics. Multiply that across your team, and the revenue impact compounds fast. What actually drives velocity 1. Ruthless qualification upfront 2. Standardised sales processes 3. Removing friction (transparent pricing, streamlined contracts) 4. Response time (2 hours beats 2 days) 5. Constant and consistent coaching. The operational win Faster cycles mean better cash flow, lower CAC, faster feedback loops, and happier sales teams. Velocity can be a leading indicator of scalability. Can this model support efficient growth without proportional headcount increases? Track it religiously, measure by segment, rep, and channel. Find where deals stall (demo? proposal? contract?) and fix those specific bottlenecks. In SMB sales, the fastest doesn’t just win more often. They win everything. Comment velocity for my 1-pager……. Just kidding, no one pager, just passing time waiting for the twins to finish Beavers. 😀