Cost structures, key metrics, moats, and risks differ completely across industries. There is no universal management cure-all, but every industry has its own “Achilles’ heel.” This chapter carries the most differentiated value in the book — it breaks down each industry’s management priorities.
Each industry is broken down along five dimensions:
| Dimension | Content |
|---|---|
| Cost structure | Manufacturing varies enormously; split by type: ① Material-intensive (electronics/autos/chemicals): materials 50–70% of cost of sales, direct labor 5–15%, manufacturing overhead 15–30%; ② Labor-intensive (apparel/furniture/assembly): direct labor significantly higher (15–30%); ③ Asset/process-intensive (steel/semiconductors/pharma): depreciation and energy (manufacturing overhead) dominate. Gross margin varies by model: OEM/contract manufacturing 10–25%, branded manufacturing up to 35%+ (note: ratios fluctuate with industry, capacity utilization, and material prices — not fixed benchmarks) |
| Key metrics | Gross margin (by product/customer/factory), yield rate / first-pass yield, OEE (overall equipment effectiveness = availability × performance × quality), inventory turns, on-time delivery rate, order completeness rate, capacity utilization, cost of quality (prevention < appraisal < failure), cash flow (AR/inventory/AP payment terms) |
| Moat | Technology patents (SMOORE’s FEELM ceramic coil), scale cost advantages (BYD/Foxconn), customer lock-in (Luxshare–Apple), licenses (e-cigarette production permits) — note the distinction: resources (raw materials/licenses), capabilities (R&D/supply chain), and barriers (patents/certifications/lock-in) are three different layers |
| Industry-specific risks | Quality incidents and recalls, supply chain disruption, FX volatility, capacity misallocation (over-investment/under-investment), policy & regulation (e-cigarettes/carbon neutrality), material price swings |
| Management focus | Supply chain collaboration, lean production (Toyota TPS), R&D project management (IPD), quality system (IQC→OQC), cash flow |
Classic cases:
Manufacturing-specific questions:
| Dimension | Content |
|---|---|
| Cost structure | People (60–80%) > servers/cloud (SaaS) > marketing; very high gross margin (software 80%+) |
| Key metrics | ARR/MRR (recurring revenue), customer acquisition cost (CAC), customer lifetime value (LTV), churn rate, NPS, R&D output per head |
| Moat | Network effects, data barriers, ecosystem lock-in, technology leadership, switching costs |
| Industry-specific risks | Fast technology cycles, talent flight (core engineers), data compliance, being crushed by big players, negative cash flow (burn) |
| Management focus | Product-market fit (PMF), R&D organization (agile), talent incentives (stock options), growth hacking, fundraising cadence |
Classic cases: ByteDance (algorithm + organization), Huawei (R&D system), Apple (ecosystem), Netflix (data-driven content decisions)
Industry-specific methods:
⚠️ Note: financial services is a collection of four different business models; metrics cannot be mixed — banks watch spreads and asset quality, insurers watch underwriting and investment, brokers watch brokerage/IB/asset management, payments watch volume and fee spreads. The table below lists each separately.
| Sub-industry | Cost structure | Key metrics | Industry-specific risks |
|---|---|---|---|
| Banking | Funding cost + operating cost | NPL ratio, net interest margin (NIM), capital adequacy ratio, provision coverage ratio, ROE | Credit risk, liquidity risk, interest rate risk |
| Insurance | Claims/reserves + acquisition + operations | Combined ratio (CoR), new business value (NBV), solvency ratio, renewal rate | Underwriting risk, investment risk, lapse risk |
| Securities | People + systems + compliance | Brokerage commissions, IB deals, AUM, proprietary trading returns, client assets | Market risk, compliance risk, talent flight |
| Payments | Channel cost + risk control + merchant services | TPV (total payment volume), net revenue margin, chargebacks/fraud losses, merchant retention, compliance incident severity | Fraud, regulation (reserves/AML), channel dependence |
Moat: licenses (barrier to entry), risk-control capability, customer trust, data accumulation, channels. Management focus: risk-control system (three lines of defense), compliance, capital management, regulatory reporting, asset-liability management.
Key difference: financial services is an industry that “manages risk” — risk management is the core business, not a support function.
| Dimension | Content |
|---|---|
| Cost structure | Cost of goods (40–60%) + rent/channels (10–20%) + marketing (10–20%); gross margin 30–60% |
| Key metrics | Sales per square meter, same-store growth, inventory turns, sell-through rate, repurchase rate, average order value, conversion rate, gross margin |
| Moat | Brand mindshare, channel network, supply chain efficiency, procurement scale |
| Industry-specific risks | Inventory pile-up (depreciates after season), channel dependence (big platforms), shifting consumer trends, price wars |
| Management focus | Merchandising (assortment/pricing), inventory management (fast response), channel management, brand marketing, consumer insights |
Classic cases: Uniqlo (fast-response supply chain), Mixue Ice Cream & Tea (Chinese bubble-tea chain: 10k+ stores + supply chain), Lao Gan Ma (Chinese chili sauce brand: brand + cost), Anker Innovations (cross-border brand + data-driven product selection)
| Dimension | Content |
|---|---|
| Cost structure | In-store dining example: ingredients (30–40%) + labor (20–30%) + rent (10–20%), net margin 5–15% (varies by format, location, and delivery mix). ⚠️ With a high delivery mix, also account for platform commissions (15–25%), shrinkage, energy, depreciation, HQ allocation, and taxes — the key is building a “per-store contribution profit model” (revenue − ingredients − labor − rent − delivery platform fees − shrinkage − energy, then allocate HQ costs), rather than just looking at a net margin range |
| Key metrics | Table turnover rate / seat turnover, average order value, ingredient cost ratio, labor cost ratio, store payback period, franchisee survival rate |
| Moat | Brand, standardization (SOPs), supply chain, site selection, organization (franchise system/apprenticeship) |
| Industry-specific risks | Food safety (fatal), rising rent and labor, commoditization, franchisee management spinning out of control |
| Management focus | Standardization (taste/service/operations SOPs), centralized supply chain purchasing, store supervision, food safety, optimizing the unit economics of a single store |
Classic cases: Haidilao (service culture = what’s below the waterline), Mixue (extreme value + supply chain), McDonald’s (franchise system)
| Dimension | Content |
|---|---|
| Cost structure | Goods + first-mile/last-mile logistics + platform commissions (note: 8–15% only covers sales commissions on some platforms/categories; the true total platform cost must also include FBA storage and fulfillment, ad spend, returns handling, payment fees, taxes, and FX costs — 25–40% all-in) + marketing; gross margin varies widely by channel/category (trade 10–20%, brands going global 30–50%) |
| Key metrics | FX gains/losses, logistics cost ratio, all-in platform fee rate (commission + FBA + ads), return rate, inventory turns (FBA), compliance incidents, revenue diversification across platforms |
| Moat | Supply chain integration, brand (overseas mindshare), channel matrix (Amazon + DTC site + offline), compliance capability (licenses/certifications) |
| Industry-specific risks | FX swings, tariffs/trade policy, platform account bans, logistics risk, IP lawsuits, destination-country regulation (e-cigarettes = PMTA/TPD) |
| Management focus | Transfer pricing compliance, FX hedging, multi-platform diversification, compliance certifications, localized operations |
Classic cases: Anker Innovations (brand going global), SHEIN (supply chain + fast response), Transsion (Chinese phone maker: localization in emerging markets)
Cross-border entity structure (compliance note):
Onshore production entity (cost center)
↓ related-party transactions (priced at arm's length)
Hong Kong / Singapore trading entity (profit center / cash pool)
↓
Overseas sales entity (close to the market)
⚠️ Compliance reminder: the diagram shows a common structure, not a one-size-fits-all template. Hong Kong/Singapore entities must satisfy substantive operations (people/office/decision-making) and the arm’s-length principle (OECD); otherwise tax authorities may re-adjust pricing and impose penalties. Always consult a cross-border tax advisor.
| Dimension | Content |
|---|---|
| Cost structure | People-dominated (60–70%), almost no materials cost |
| Key metrics | Utilization (billable), output per head, client retention, project margin, collection cycle |
| Moat | Talent pipeline, brand reputation, industry know-how, client relationships, methodologies |
| Industry-specific risks | Key talent leaving and taking clients, project quality risk, bad debts from collections, founder dependence |
| Management focus | Talent (hire/develop/retain), project quality management, knowledge management (methodology accumulation), client relationships, collections |
Classic cases: McKinsey (knowledge management + talent factory), the Big Four accounting firms (partnership model)
Industry-specific methods: partnership model (aligned interests), “people = assets” — knowledge management matters more than process
| Dimension | Content |
|---|---|
| Cost structure | Transportation/warehousing/labor dominated; low gross margin (5–15%), driven by velocity and scale |
| Key metrics | On-time rate, load factor, cost per shipment, inventory turns, damage rate, trunk-line fill rate |
| Moat | Network effects (more nodes = stronger), scale, systems (TMS/WMS), customer lock-in |
| Industry-specific risks | Oil price swings, safety incidents, customer churn, long payment terms, commoditized price wars |
| Management focus | Operational efficiency (route optimization), asset utilization, risk control (cargo damage/safety), payment terms management, systems |
| Dimension | Content |
|---|---|
| Cost structure | Varies hugely by segment: innovative drugs require heavy R&D spend (the old “10 years + USD 1 billion” rule is outdated — measured median cost in the 2020s is roughly USD 1.3–2.3 billion, and it applies only to innovative drugs); medical devices have shorter R&D cycles (2–5 years) at roughly an order of magnitude lower cost; healthcare services / clinic chains are operations businesses (people + rent dominated); TCM/generics are R&D-light and channel-heavy. Compliance costs (GCP/GMP/registration) apply across the industry |
| Key metrics | R&D pipeline (number/stage of programs), clinical success rate, patent expiry dates, compliance incidents |
| Moat | Licenses (drug/device approvals), patents, clinical data, brand trust, channels (hospitals) |
| Industry-specific risks | R&D failure, regulatory approval, patent cliff, medical malpractice, policy (volume-based procurement / medical insurance) |
| Management focus | R&D portfolio management (pipeline balance), compliance (GCP/GMP), intellectual property, market access (hospital listings / insurance coverage) |
| Dimension | Content |
|---|---|
| Cost structure | Teacher labor (40–60%) + facilities + marketing (acquisition) |
| Key metrics | Class fill rate, renewal rate, referral rate, customer acquisition cost, teacher capacity, refund rate |
| Moat | Teaching quality (word of mouth), faculty, brand, curriculum system, license (school operating permit) |
| Industry-specific risks | Policy risk (the “Double Reduction” policy), faculty attrition, reputation crises, seasonality |
| Management focus | Teaching standardization, teacher training system, word-of-mouth operations, cash flow (prepaid tuition management) |
| Dimension | Content |
|---|---|
| Cost structure | ⚠️ Developers and construction/EPC are two completely different businesses; don’t mix them: ① Developer = buy land → finance → develop → sell; costs dominated by land + capital; high leverage, long cycles; ② Construction/EPC = contracting; costs dominated by materials + labor + machinery; thin margins (net 3–8%), heavy working-capital advances, dependent on collections |
| Key metrics | Sell-through rate, collection rate, debt ratio, turnover, project gross margin, safety incidents |
| Moat | Land bank, cost of capital, brand, government relationships, project management capability |
| Industry-specific risks | Policy tightening, funding chain breaks (high leverage), safety incidents, cyclical downturns |
| Management focus | Cash flow (collections > sales), debt management, project management (schedule/cost), government-business relationships |
| Dimension | Content |
|---|---|
| Cost structure | Raw material/farming costs + processing + logistics; strongly cyclical prices |
| Key metrics | Yield per unit, conversion rate, price (cycle), inventory, food safety |
| Moat | Resources, brand (food), channels, cost, technology (breeding/farming) |
| Industry-specific risks | Weather/disease, price swings, food safety, policy (subsidies/environmental) |
| Management focus | Cost control, quality & safety, cycle management (hedging), scale |
| Industry | Achilles’ heel metric | Biggest risk | Moat of choice |
|---|---|---|---|
| Manufacturing | Yield/inventory/delivery | Quality/supply disruption/policy | Tech patents/scale |
| Tech | ARR/Churn/output per head | Fast cycles/talent flight | Network effects/ecosystem |
| Financial services | NPL ratio/capital adequacy | Credit/compliance | License/risk control |
| Retail | Sales per sqm/inventory turns | Inventory/channel dependence | Brand/supply chain |
| F&B | Table turnover/ingredient cost ratio | Food safety | Brand/standardization |
| Cross-border | FX/compliance | Policy/platforms/customs | Supply chain/brand |
| Professional services | Utilization/collections | Talent takes clients | Talent/brand |
| Logistics | On-time/load factor | Oil prices/accidents | Network/scale |
| Healthcare | Pipeline/approval | R&D failure | License/patents |
| Education | Renewal/fill rate | Policy | Reputation/faculty |
| Real estate | Collections/debt | Funding chain | Land/capital |
| Agriculture | Yield/price | Weather/disease | Resources/brand |
📌 Universal rule: underneath every industry, management rests on “people, finance, materials, data + the strategy loop” (see the other chapters); industries differ only in weights and sequence. Find your industry’s Achilles’ heel first, then apply the general framework.