Scaling Sales Operations

The worst advice you can give to a founder - “Just hire a VP Sales and let them figure it out.” That’s how companies waste years and millions. Scaling sales is about sequencing the right hires at the right time. Not completely abandoning sales. Here’s the playbook I’ve seen work across dozens of early-stage startups: 1. Founder-led sales You are the best seller of your product.  No one else can (or should) figure out product-market fit for you. Only you should be selling. 2. The first sales hire (Sales Pioneer / AE) When you’re at capacity, bring on a full-cycle AE who can prospect, close, and help you test outbound motions. 3. Building repeatability Document your ICP, refine messaging, and start writing the playbook.  Only when sales feels repeatable, not perfect, but consistent, do you expand. 4. Multiple hires  Add 2–3 more sellers.  Now you’re testing whether the process works beyond one person. 5. Sales leadership (Head of Sales or VP Sales) This is not step one, it’s step five. Once the math of your funnel is predictable, then you decide: Promote your Pioneer into Head of Sales Hire a Head of Sales who still sells Or, when the foundation is rock solid, hire a VP Sales to scale The sequence matters. -Hire too early, and you burn cash. -Hire too late, and you stall growth. Founders don’t get to “step out of sales”, but if you hire in the right order, you build a machine that scales without breaking. 👉 Where are you in this sequence?

How do you know when your processes have become a scaling bottleneck? I can walk into a business and usually spot operational inefficiencies within hours - a product of specialising in Operational Excellence for most of my life. Whenever I see friction, delays, founder dependency, customer complaints or teams creating workarounds just to get things done… there is almost always an opportunity to simplify, automate or eliminate something altogether. The problem is that most of these inefficiencies creep in gradually as the business grows. Until suddenly the business feels harder to run than it should. Founders know they need repeatable processes that don’t depend on them… but they “don’t have time” to write things down because they are too busy doing everything themselves. So if you can corner the team in a room for an hour, here’s a great exercise to open everyone’s eyes: 1️⃣ Map out your end-to-end customer journey - it’s a great first step in understanding your core processes. 2️⃣ Then overlay the swim-lanes (the different people/functions involved) and add timelines (truth drug required.) 3️⃣ Lastly, add all the technology used across the process too. 4️⃣ Now stand back and highlight: ❌ Handoffs ❌ Duplicated effort ❌ Delays ❌ Rework ❌ Bottlenecks Running this as an individual exercise before the workshop is even more revealing, because you quickly discover multiple versions of the “same” process. Real WTAF moments in some businesses. 5️⃣ Then start eliminating, simplifying, standardising, automating and integrating until the process hums like a machine. And the bonus step? Ask yourselves… 6️⃣ If we put 10x volume through this process what would need to change? Thats the real scaling test! Scaling a business is never just about increasing sales. You need to invest equal effort in scaling the people. Scaling the processes. And scaling the Founder too.

𝗛𝗼𝘄 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 – 𝗠𝘆 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲... Building operations is about making speed repeatable. Large organisations have steady systems, org charts, and processes. My early experience in those environments taught me a lot. But startups? They go from 2 to 10, then 50 to 500, and beyond. The company looks the same—but each stage operates completely differently.  That’s why scaling is hard. And it’s why the founder’s role is mission-critical to ensure evolution. When we were scaling PurpleTutor, I realised one thing: Chaos is natural. The real question is: How do you scale without losing the energy that got you started? My rule: 𝗪𝗵𝗮𝘁 𝗴𝗲𝘁𝘀 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗲𝗱 𝗴𝗲𝘁𝘀 𝘁𝗿𝗮𝗰𝗸𝗲𝗱. 𝗪𝗵𝗮𝘁 𝗴𝗲𝘁𝘀 𝘁𝗿𝗮𝗰𝗸𝗲𝗱 𝗴𝗲𝘁𝘀 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗱. 🔹 𝗠𝗲𝗲𝘁𝗶𝗻𝗴𝘀 (𝗖𝗮𝗱𝗲𝗻𝗰𝗲 𝗠𝗮𝘁𝘁𝗲𝗿𝘀) Too few = chaos. Too many = time wasted. 𝗪𝗵𝗮𝘁 𝘄𝗼𝗿𝗸𝗲𝗱 𝗳𝗼𝗿 𝘂𝘀:  • Daily meetings for sales funnel – marketing, ops, and sales together, with clearly defined metrics • Weekly syncs with project leads – we started with minutes of the last meeting and locked in end dates • Weekly sales + BD tracking – not just numbers but identifying who needed help. • Monthly ops & attrition reviews – spot gaps before they became issues • Monthly all-hands – show the full picture to everyone 💡 𝗪𝗵𝗮𝘁 𝗵𝗲𝗹𝗽𝗲𝗱:  • Clear, stable goalposts • Agreement on what data to track • Fixed frequency – and sticking to it • Fewer metrics, sharper focus (1–2 KPIs per team) Over time, we noticed: 𝙋𝙚𝙤𝙥𝙡𝙚 𝙘𝙖𝙢𝙚 𝙞𝙣𝙩𝙤 𝙢𝙚𝙚𝙩𝙞𝙣𝙜𝙨 𝙠𝙣𝙤𝙬𝙞𝙣𝙜 𝙩𝙝𝙚 𝙥𝙧𝙤𝙗𝙡𝙚𝙢—𝙖𝙣𝙙 𝙝𝙤𝙬 𝙩𝙤 𝙛𝙞𝙭 𝙞𝙩. 🔹 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗥𝗵𝘆𝘁𝗵𝗺 Every week → sprint plans Every month → revenue & ops targets Every quarter → 1 big move that must shift Scaling is 90% rhythm and 10% big moves. 🔹 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝘃𝘀 𝗦𝗽𝗲𝗲𝗱 People assume process slows things down. But in reality, the right ops framework increases speed. Because when the team stops firefighting, they can actually focus. Operations doesn’t mean complexity. It means: clarity, cadence, and accountability. This was one of the biggest shifts for me as a founder— From hustle mode to scale mode. 💬 What’s your secret sauce for scaling ops? #startups #scaling #founders #growth #leadership

I watched a health tech startup copy their competitor’s playbook: hired 15 SDRs because the other guy had 20. Burn rate tripled. Pipeline stayed flat. Six months later, 12 were gone. The problem wasn’t headcount. It was strategy. In health tech, elite sales teams don’t scale with bodies—they scale with precision. Three reps who know procurement politics, clinical workflows, and CFO pressures will beat thirty who treat health systems like SaaS logos on a leaderboard. The three scaling mistakes that burn cash: 1. Hiring quantity before proving quality. Cloning mediocrity only accelerates failure. 2. Importing SaaS playbooks. 100 cold calls a day doesn’t work when your entire prospect pool is 200 hospitals. 3. Scaling roles before scaling knowledge. Every rep must understand clinical, financial, and operational pain. The best health tech sales orgs don’t look like call centers. They look like consulting firms—built on expertise, relationships, and problem-solving. Scale knowledge first. Revenue follows.

Scaling a company in the hardest quadrant: -> Rainmaker dependency (deals hinge on one or two founders and max one hired superstar) -> High deal complexity (often multiple stakeholder groups or even ecosystems) -> Finite market (often an industry or a combination of clear ICP attributes) -> Scaleup pressure (results are needed short term, mid term and long term) Every deal is high-stakes, long-cycle, and relationship-heavy. And unless we scale the rainmaker model, growth caps out fast. The answer is not building a big sales team. Here’s how we’re attacking it: 1. Arm the Rainmaker(s) Stakeholder maps to get strategic, save time and secure human and media influence on all stakeholder groups. (81% win vs 4% win) Advanced media targeting to warm the room before we enter and to drive a wider engagement during the active sales process. Great content to build trust and air cover from the first touch to answering the last deep dives and objections. AI to surface insights, generate draft content, and cut the busywork. 2. Focus like a sniper. In a finite market, every minute spent on the wrong account is one you won’t get back. ICP discipline is non-negotiable. 3. Chase repeatability. Wins don’t matter unless we can repeat them without a cape. This isn’t about brute force. It’s about precision, enablement, and leverage. If you're scaling in the $2–30M range with complex deals and a finite TAM—let’s talk. It’s a highly skilled club, and we’re enabling it. Megadeals On Top SaaS for Scaling Rainmakers has grown from 0 to just under 3MUSD in 23 months using one Rainmaker + our own product and scaling model. #FounderLife #ScaleUp #EnterpriseSales #RainmakerToRepeatable #GTM

Stop asking your CSMs to be data analysts, project managers, AND relationship builders. Your Customer Success Managers are juggling too many roles. They're expected to maintain relationships, track metrics, run QBRs, manage internal processes, coordinate with other departments, forecast renewals, and document everything. The result? They're spending more time on operations than with actual customers. This is why you need a dedicated CS Operations function. Here's what it actually solves: 1. Turn Data Into Dollars When retention shifts even slightly, that impacts your bottom line. CS Ops gives you the visibility to: ‣ Forecast renewals accurately ‣ Identify true churn indicators ‣ Pinpoint exactly where value delivery breaks down ‣ Make decisions based on patterns, not anecdotes 2. End Tech Stack Chaos Your current tech landscape didn't evolve strategically—it accumulated tactically. CS Ops brings order: ‣ Evaluates tools against your entire ecosystem ‣ Builds integration roadmaps ‣ Makes tech serve the business, not just individual teams ‣ Eliminates redundant systems telling conflicting stories 3. Create Repeatable Success Paths Your team shouldn't reinvent the wheel with every customer. CS Ops develops: ‣ Standardized onboarding playbooks ‣ Clear certification paths for team members ‣ Systems that convert tribal knowledge into scalable processes ‣ Cross-functional workflows that eliminate bottlenecks Adding more CSMs to fix scaling problems is like hiring more firefighters instead of implementing fire prevention. Build CS Ops now to prosper in the future. It's not a theoretical nice-to-have—it's the practical foundation that lets your CS team focus on what they were actually hired to do: build relationships and deliver customer outcomes. What would your renewal rates look like if your CSMs spent 70% of their time with customers instead of in systems and spreadsheets?

We just modeled a company's path from $15M to $30M and the constraint became obvious immediately. They're generating strong lead volume through their primary acquisition channel. Good margins, market leadership, proven operations. The instinct: scale what's working. Here's the problem. At their current average deal size, doubling revenue means adding thousands of new clients. Their primary channel was already showing ceiling signals - rising costs, declining efficiency, market saturation. Then we found something in the revenue data. One segment of their business was generating deals 3x larger than another segment. Same service, same sales team, but completely different buyer profiles and deal economics. The insight changed everything. They didn't need to scale the low-value motion. They needed to build infrastructure for the buyers already coming to them who were worth 3-4x more. 100 clients at $50K = $5M. Much different math than 625 clients at $8K. The constraint wasn't market demand. It was that everything - positioning, sales process, systems - was optimized for transactional efficiency, not enterprise engagement. The path to $30M wasn't amplifying current methods. It was building infrastructure for the higher-value motion the data proved existed. That's the difference between scaling and transforming.

A dealer shared something eye-opening with me on Friday He told me 'We doubled our leads, but our close rate dropped by 30%. Adding more BDC staff actually made us less efficient." This is the hidden scaling problem in dealerships that nobody talks about. Here's the uncomfortable truth: Human operations don't scale linearly. Adding more people often creates: • More communication gaps • Inconsistent customer experiences • Increased training burden • Higher chance of missed opportunities • Growing operational complexity • More management overhead Think about your typical sales process: At 10 leads per day, a skilled team member can provide personal attention to each one. At 20 leads, they're rushing through calls. At 50 leads, they're missing callbacks. At 100 leads, they're drowning in follow-ups. Adding more people isn't the answer. Each new hire: • Needs training • Requires management • Creates new communication channels • Increases process complexity • Adds inconsistency The solution? Intelligent automation of repetitive tasks so your team can focus on what humans do best: building relationships and closing deals. Your BDC team shouldn't be: • Manually looking up customer histories • Copying data between systems • Tracking follow-up schedules • Prioritizing leads by gut feel • Managing multiple disconnected tools These tasks can be automated, leaving your team free to have meaningful customer conversations. The future of dealership operations isn't about having the biggest team—it's about having the most efficient one. The question is: How much of your team's time is spent on tasks that could be automated? #QoreAI #DealershipOperations #OperationalEfficiency #Automotive #Leadership

$3,000 to six figures monthly ad spend. Our partner company pulled it off. And it had nothing to do with their ads. The secret? Discovering the worst-performing salesperson was actually the best performer. That is... once we stopped treating all leads equally. Let me explain. THE SYSTEM THAT UNLOCKED SCALING: 1. AUDIT INDIVIDUAL SALESPERSON PERFORMANCE BY DEAL SIZE When we analyzed this AI SaaS company’s close rates by deal size (not just overall performance), we found one guy who bombed on high-ticket deals but crushed it on smaller ones. Out of 500 monthly meetings, we knew ~100 would be too low-value to pursue. But instead of rejecting them, we turned them into profit. 2. SCORE EVERY LEAD'S VALUE POTENTIAL Before a lead talks to sales, we assign a value score. High-value prospects go one direction, low-ticket opportunities go another. 3. MATCH SALESPEOPLE TO THEIR NATURAL STRENGTHS That "underperformer" became a conversion machine when he only handled deals in his sweet spot. 4. CREATE SPECIALIZED SALES TRACKS - High-value: 6-12 month nurture sequences - Low-ticket: Rapid outreach, close within weeks - Custom pitch decks matching each customer type THE RESULTS: → High-value meetings: 50% close rate (6 months) → Low-ticket meetings: 25% close rate (2 weeks) → Monthly meetings: 500 → 1,000+ target → Ad spend: $3K → six figures And here’s why we don't lose— Now we can predict exactly how much cash reserve any ad increase requires. To double the spend, we know it needs 7-8 weeks coverage and ~$130K working capital. No guessing. Just math. THE LESSON: Fix your conversion bottlenecks first. Then scaling becomes a financial calculation, not a leap of faith. We’ve seen companies spending $300K+ monthly who can't scale because their backend can't handle volume. Meanwhile, this company grew 30x by fixing what happens AFTER the click. Your ads can only scale as fast as your weakest operational link. What's yours? (Hint: If you're only looking at ad metrics, you're missing 90% of the equation)