Resource Allocation Consulting

Let me walk you through the math that should make every CFO question their resource allocation. Using the latest 2025 industry benchmarks from SaaS Capital, here's the stark reality for a typical $200M ARR company: Revenue Responsibility: • Sales team: Manages $40M in new ARR (20% of total revenue) • CS team: Manages $160M in existing/expansion ARR (80% of total revenue) Budget Allocation Reality: • Sales: 13% of ARR ($26M) - up from 10.5% in previous years • Customer Success: 8% of ARR ($16M) - down from 8.5% in previous years Enablement Investment (based on industry benchmarks): • Sales enablement: ~$780K annually (3% of sales budget) • CS enablement: ~$160K annually (64% of CS teams spend <$200K on all programs, tools, and training combined) Investment per revenue dollar managed: • Sales: $780K ÷ $40M = $19.50 per $1M managed • CS: $160K ÷ $160M = $1.00 per $1M managed They're spending 19.5X more per revenue dollar on the team managing 20% versus the team managing 80%. In what other business context would this allocation be considered rational? Imagine if manufacturing allocated 19.5X more maintenance budget to machines producing 20% of output versus those producing 80%. Or if airlines invested 19.5X more in routes generating 20% of revenue versus those generating 80%. The CFO would be fired. Yet this exact irrational allocation persists in SaaS because of tradition, not logic. The Efficiency Data only makes this more baffling: • CS Efficiency: 1 CSM manages $2-5M in ARR • Sales Efficiency: 1 rep manages $600K-$1M in quota • CS is 2-5X more capital efficient, yet receives proportionally less investment The Revenue Economics defy conventional business wisdom: • According to BCG, "Over 25X more value is generated over a customer's lifetime than in the year when the customer is acquired" • TSIA data shows companies with dedicated CS teams achieve 17% base revenue growth vs. just 5% with a sales-only approach • Forrester Research found dedicated CS teams deliver 107% ROI within 3 years Remember the 120-day challenge from my earlier post? For this company, achieving a 1% churn reduction and 3% expansion increase would be worth millions, yet they're investing $1 per $1M in revenue for the team responsible for making that happen. The reality: McKinsey explicitly states that "slower-growing SaaS companies underinvest in customer success." This investment imbalance explains why many companies struggle to achieve the critical 3-5% improvements that transform business fundamentals. Next week, I'll explain why training is the most obvious investment decision in CS and why it's the most overlooked. What's the enablement investment ratio in your organization? Does it match your revenue responsibility ratio? Calculations based on industry benchmarks from SaaS Capital's 2025 Private SaaS Company Spending Benchmarks #CustomerSuccess #Enablement #Investment #ARR #ROI Previous Post: https://lnkd.in/g_bpYGzr Next Post: https://lnkd.in/g76FYFMf

𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗦𝗲𝗰𝗿𝗲𝘁𝘀 𝗼𝗳 𝗪𝗼𝗿𝗹𝗱-𝗖𝗹𝗮𝘀𝘀 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 The most effective technology organizations share specific structural characteristics – regardless of industry or size. These structural patterns remain primarily invisible on conventional organizational charts but consistently separate high-performance technology organizations from their average-performing peers. Here are the five structural secrets that enable world-class technology execution: 𝟭. 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆-𝗙𝗼𝗰𝘂𝘀𝗲𝗱 𝘃𝘀. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁-𝗙𝗼𝗰𝘂𝘀𝗲𝗱 𝗧𝗲𝗮𝗺𝘀 Average organizations structure around projects, constantly reforming teams as initiatives change. Elite organizations build stable teams around enduring business capabilities, creating deep domain expertise and institutional knowledge. When one financial services firm shifted from project-based to capability-based teams, their deployment frequency increased 4x while defects decreased by 60%. 𝟮. 𝗧-𝗦𝗵𝗮𝗽𝗲𝗱 𝗦𝗸𝗶𝗹𝗹 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 World-class organizations systematically develop T-shaped professionals—people with deep expertise in a core area and sufficient breadth to collaborate across domains. This isn't accidental. Top organizations create deliberate rotation programs and cross-functional experiences that intentionally build both dimensions. 𝟯. 𝗗𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗔𝗹𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻 Elite technology organizations hardcode innovation capacity into their operating model. The most effective approach I've observed is the 70/20/10 model:  • 70% on current business priorities  • 20% on adjacent opportunities  • 10% on transformational exploration This isn't discretionary – it's structurally enforced through resource allocation and performance goals. 𝟰. 𝗘𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 Average technology organizations interface with business stakeholders through formal channels, while world-class organizations embed business capability directly within technology teams. One healthcare company placed experienced clinicians directly in development teams, eliminating the translation layer between business needs and technical implementation. The result? A 62% reduction in requirements churn and 40% faster time-to-market. 𝟱. 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗔𝗹𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻 Elite organizations implement quarterly (or even monthly) resource reallocation processes rather than annual planning cycles. This creates the organizational agility to respond rapidly to market changes. One retail organization increased its resource reallocation frequency from annual to quarterly and saw a 28% improvement in strategic initiative completion within 18 months. 𝐷𝑖𝑠𝑐𝑙𝑎𝑖𝑚𝑒𝑟: 𝑉𝑖𝑒𝑤𝑠 𝑒𝑥𝑝𝑟𝑒𝑠𝑠𝑒𝑑 𝑎𝑟𝑒 𝑝𝑒𝑟𝑠𝑜𝑛𝑎𝑙 𝑎𝑛𝑑 𝑑𝑜𝑛'𝑡 𝑟𝑒𝑝𝑟𝑒𝑠𝑒𝑛𝑡 𝑚𝑦 𝑒𝑚𝑝𝑙𝑜𝑦𝑒𝑟𝑠. 𝑇ℎ𝑒 𝑚𝑒𝑛𝑡𝑖𝑜𝑛𝑒𝑑 𝑏𝑟𝑎𝑛𝑑𝑠 𝑏𝑒𝑙𝑜𝑛𝑔 𝑡𝑜 𝑡ℎ𝑒𝑖𝑟 𝑟𝑒𝑠𝑝𝑒𝑐𝑡𝑖𝑣𝑒 𝑜𝑤𝑛𝑒𝑟𝑠.

“Should we add more CSMs, or add more CS Ops?” It’s the allocation question every CS leader faces as budgets tighten and expectations rise. The wrong choice can damage customer retention, blow the budget, or both. The best CS leaders are following a simple formula: Make tech investments where they create efficiency. Make human investments where they generate retention and growth. The Clear Division of Labor Technology excels at tasks requiring consistency, speed, and scale where human judgment isn’t critical: • Administrative work and data processing • Routine communications and follow-ups • Process orchestration and workflow management Humans excel at tasks requiring judgment, creativity, and strategic thinking: • Strategic guidance and complex problem-solving • Relationship building and value creation conversations • Turning satisfied customers into advocates But here’s where segmentation changes everything. Segmentation Drives Everything What works for enterprise accounts doesn’t work for SMBs: High-value segments require human investment. The impact on retention and growth justifies the cost. High-volume segments require tech investment. They value speed and reliability, and unit economics demand efficient delivery. Scaling Isn’t Just Automation — It’s Trust Many CS leaders assume scaling means automating everything. But trust - the foundation of customer success - scales through a strategic blend of tech and human touch: Trust scales through consistency- Reliable delivery of promises, whether automated or human Trust scales through competence- AI-powered insights helping CSMs provide better guidance Trust scales through transparency- Proactive updates that keep customers informed Trust scales through personalization - Understanding unique needs at scale The Resource Allocation Framework Your segmentation strategy drives your resource allocation decisions. Map your customer journey by segment and classify touchpoints as either: • Efficiency-focused (perfect for tech) • Growth-focused (requiring human investment) Then audit where you’re using expensive human resources on automatable tasks, and where you’re using automation for interactions that demand human judgment. CS organizations that execute this principle operate with fundamentally better unit economics. They deliver personalized, strategic value to high-value customers while serving high-volume customers efficiently. They aren’t choosing between efficiency and growth - they’re achieving both. The framework is simple: tech for efficiency, humans for growth. But applying it requires knowing your customers well enough to understand which approach builds the most trust with each segment. Where are you misallocating resources between tech and human investments?

35% of our accounts brought in just 12% revenue But we were treating them exactly like our biggest customers, stunting our growth We had fallen into the resource allocation trap: our monolith CS team was treating every customer identically. Each person managed 60+ accounts, juggling implementation, onboarding, ongoing support, AND relationship management for everyone from $4K to $40K customers. The result? Our high-value clients weren't getting the strategic attention they deserved, while our CS team burned out putting out fires across all account sizes. We were democratizing mediocrity instead of optimizing for impact. So we restructured everything: > Split CS responsibilities by expertise (technical vs. relationship management) > Created three tiers based on ACV with appropriate resource allocation > Let Account managers handle high-touch relationships for top accounts > Moved smaller accounts to efficient self-serve support with enhanced documentation Our enterprise clients finally got the white-glove experience they paid for, and our smaller accounts got faster, more efficient support. Win-win. What's your approach to customer success resource allocation? #B2B #CustomerService #GTM #Factors

47 projects. 3 days. 1 decisive outcome. $50M saved. A client brought us in to evaluate their entire development pipeline. The challenge: Limited resources, unlimited ideas, and no clear way to choose winners. The process: - Evaluated each project against underserved customer outcomes - Scored initiatives on their ability to deliver customer value - Identified projects addressing overserved or irrelevant outcomes - Optimized high-priority initiatives for cost, effort, and risk The results: - 12 projects immediately accelerated with additional resources - 23 projects reconsidered or abandoned - 12 projects optimized to deliver more customer value - Estimated $50M saved in misdirected development costs The transformation: From a scattered approach, hoping something would work, to a focused strategy targeting known opportunities. When you know precisely which customer outcomes are underserved, resource allocation becomes strategic instead of political. How much development effort could your organization redirect toward higher-value opportunities?

Your CEO wants to improve profitability. You can reduce budgets evenly across departments by 10%, or use a value-based budgeting strategy that cuts waste and compounds ROI. One preserves the budget. The other amplifies value. Cutting budgets across the board is easy. Boosting profitability... That takes strategy. The strategy: Target low-value costs and reinvest in high-return opportunities. The Value-Based Cost Framework From cutting budgets → to reallocating capital Here's how: 1.) Identify Value Drivers Ask: Where does the business truly create value? > Map revenue by customer, product, and channel. > Pair it with contribution margin and strategic importance. > Highlight areas that generate outsized ROI or future advantage. Goal: See where your money creates momentum. 2.)  Diagnose Low-Value Spend Ask: What activities consume resources but create little return? > Audit recurring expenses and “maintenance” work. > Track labor hours vs. business impact. > Flag projects that preserve comfort, not growth. Goal: Separate cost centers from value engines. 3.) Reallocate, Don’t Just Reduce Ask: How can we redirect underperforming dollars? > Move capital from routine functions to strategic levers. > Automate low-impact tasks to free human capacity. > Reinforce areas with high lifetime value potential. Goal: Spend smarter, not smaller. 4.) Measure Value Creation Ask: Are we seeing amplified returns? > Track ROI by investment theme (growth, efficiency, innovation). > Review resource allocation quarterly — not annually. > Tie capital decisions directly to measurable business outcomes. Goal: Make finance a strategic reinvestment engine. Traditional finance cuts line items. Strategic finance reallocates capital toward value. ___________ Please share your thoughts in the comments. Repost if this will help someone in your network. Follow me, Beverly Davis, for more strategic finance insights.

High-leverage decisions outperform hard work Most performance gaps in business are not caused by effort. They are caused by where decisions are applied. Research in organizational economics and management consistently shows that a small number of decisions drive a disproportionate share of outcomes. Leaders who focus on effort and hours worked often miss the few decisions that actually change trajectory. Working harder on the wrong decisions produces minimal return. What research shows Studies on decision impact demonstrate that outcomes in complex organizations follow a power-law distribution. A minority of decisions account for the majority of long-term performance differences. These are typically decisions related to pricing, hiring standards, capital allocation, incentive design, and distribution channels. Additional research on executive effectiveness shows that leaders who spend more time on high-impact decisions outperform peers who spend more time on operational involvement, even when total hours worked are lower. Study-based situations Situation 1: Pricing decisions Research across multiple industries shows that small pricing changes often have a larger impact on profit than large increases in sales volume. Teams that focused on pricing structure outperformed teams that focused on increasing activity levels. Situation 2: Hiring standards Studies on talent density found that raising hiring standards reduced total headcount needs while increasing output. Organizations that focused on one or two critical hires achieved better results than those that tried to compensate with volume hiring. Situation 3: Resource allocation Research on capital allocation shows that reallocating resources from low-return initiatives to high-return ones consistently outperformed cost-cutting or efficiency programs. The decision of where to allocate resources mattered more than how efficiently teams worked. How effective leaders think about leverage They identify decisions with irreversible or compounding impact They protect time for judgment rather than activity They avoid confusing busyness with value creation They revisit high-leverage decisions regularly instead of optimizing minor ones Effort scales linearly. Leverage scales outcomes. Leadership question Which decision in your role would still matter twelve months from now, even if everything else changed?

"We need to overhaul our portfolio." Reading about successful transformations may have made you think you need one massive restructuring to fix your resource allocation problems. Wrong. Our 20-year study of 1,500+ companies revealed that smaller sustained changes are better. Companies that made 16+ moderate resource shifts dramatically outperformed those making 1-2 big moves. The numbers are stark: → High-frequency reallocators: 11.9% annual returns → Low-frequency reallocators: 8.5% annual returns → Lower volatility for the frequent movers too Small, consistent moves beat big, dramatic swings. There are three reasons why: 1. Markets reward predictability Investors can follow your logic when you make stepwise shifts in pursuit of a clear strategy. But, a massive portfolio overhaul leaves investors waiting to see if it works. 2. Organizations can absorb gradual change People can adapt to 5-10% resource shifts annually. Try to move 50% in one year and you risk breaking the culture that holds everything together. 3. You learn as you go Each small move teaches you something about what works and what doesn't. Big bets are binary—they either work spectacularly or fail catastrophically. Resource reallocation is a muscle. Use it regularly or it atrophies. The companies that thrive don't wait for crises to force big moves. They reallocate continuously—in good times and bad times. They shift resources before they have to, not after they're forced to. It's about systematic responsiveness to changing market conditions. Your challenge: Identify 3-5 small resource shifts you can undertake in the next 90 days. Make exercising the reallocation muscle something you just do. ***** Part 7 of 7 in a Resource Reallocation series based on research I led at McKinsey studying 1,600+ companies over 15 years. Thanks to everyone who followed along. Good luck with your own journey from resource inertia to strategic action. The companies that master this don't just perform better—they survive longer and create more sustainable value. Research team: Stephen Hall, Conor Kehoe, Olivier Sibony, Michael Birshan, Reinier Musters, Devesh Mittal, Mladen Fruk

A CEO called me last month sounding defeated. He'd just spent three hours in the most frustrating board meeting of his career. "Omi, every department made compelling cases for bigger budgets. Marketing showed 2,400 leads generated. Sales demonstrated improved qualification processes. Customer Success proved 87% retention. Operations highlighted 12% cost reductions. Each presentation was excellent." "So what's the problem?" I asked. "I have no idea which department actually drives revenue. I'm making million-dollar decisions based on educated guesses." He's not alone. Harvard Business Review research reveals 68% of CEOs cannot confidently attribute revenue to specific departmental activities. From an anthropological perspective, this lack of clarity creates a negative pattern: when humans lack clear data, they create decision-making rituals that feel rational but produce random outcomes. Budget meetings turn into departmental sales pitches instead of data-driven strategy. The loudest voice wins. Historical bias rules. Relationship dynamics influence allocation more than performance data. This CEO had learned the cost the hard way. Six months earlier, he'd allocated an extra $500K to marketing based on impressive lead generation metrics. Revenue stayed flat. The real problem was in their sales process, which needed enablement investment instead. Total cost: $500K misallocated + $1.5M in missed opportunities = $2M attribution error. 😬 "I'm tired of flying blind," he told me. "Which departments should actually get the biggest budget increases?" We implemented a unified attribution framework that tracked customer journeys from first marketing touch through expansion revenue. Within 90 days, he had clear answers. • Budget allocation transformed from political compromise to strategic optimization. • Department conflicts disappeared when everyone aligned around revenue outcomes instead of activity metrics. His next board meeting lasted 45 minutes instead of three hours. Clear attribution data eliminated departmental advocacy sessions and enabled confident resource allocation. The $2M question has a data-driven answer. The technology exists. The competitive advantage belongs to CEOs who can answer with confidence. How long will you let attribution uncertainty prevent optimal resource allocation? #RevenueLeadership #SuccessStories #RevOps