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Profitability Cases

Revenue vs cost breakdown, margin analysis, segmentation by product/region/customer, fixed vs variable cost isolation, and root cause identification.

"Our client's profits dropped 20% — what happened?"

Structure: Profit = Revenue − Costs. Revenue = Price × Volume. Start by isolating which moved. Ask: is revenue down, costs up, or both? If revenue: which segment/product/region? Check pricing changes, volume decline, customer churn, competitive entry. If costs: fixed vs variable? Check raw material inflation, labor costs, one-time charges. Likely culprit: if volume is flat but profits dropped, look for cost increase — often raw material prices or a new facility driving up fixed costs.

Market Entry

Market sizing, competitive landscape analysis, entry mode (organic vs acquisition vs JV), regulatory barriers, go-to-market strategy, and financial viability.

"Should our client enter the Indian market?"

Framework: (1) Market attractiveness — size ($XB), growth rate (X% CAGR), customer segments. India: 1.4B population, rising middle class, smartphone penetration 50%+. (2) Competitive landscape — local incumbents, global players already present, switching costs. (3) Entry barriers — regulatory (FDI rules, local partnership requirements), distribution infrastructure, cultural adaptation. (4) Entry mode — organic build (slow, full control), acquisition (fast, expensive), JV with local partner (shared risk, local expertise). (5) Financial case — investment required, break-even timeline (typically 3–5 years), target ROI vs other opportunities.

M&A / Due Diligence

Acquisition evaluation, synergy identification and sizing, valuation, integration risks, deal structure, and recommendation framework.

"Should our PE client acquire this SaaS company?"

Evaluate across 4 dimensions: (1) Strategic fit — does it complement the portfolio? Cross-sell opportunities, technology synergies. (2) Financial health — ARR growth (>30% = strong), gross margins (>70% for SaaS), NDR (>110% = net expansion), CAC payback (<18 months). (3) Valuation — compare EV/ARR multiple to SaaS comps (typically 8–15x for growth SaaS). DCF with subscription revenue is more predictable. (4) Risks — customer concentration (top 10 clients <30% ARR), tech debt, key-person dependency, churn trends. Recommendation: proceed if NDR >110%, margins >70%, and price is below 12x ARR.

Pricing Strategy

Value-based pricing, competitive pricing, cost-plus analysis, price elasticity, bundling strategies, and pricing architecture.

"How should we price a new product?"

Three approaches: (1) Cost-plus — calculate unit cost + target margin. Simple but ignores willingness to pay. (2) Competitive — benchmark against substitutes. If differentiated, price at premium; if commoditized, match or undercut. (3) Value-based — quantify the economic value to customer (time saved, revenue generated, cost avoided). Price at 20–30% of value delivered. Recommendation: start with value-based. Conduct conjoint analysis or Van Westendorp survey to find optimal price point. Consider tiered pricing (good/better/best) to capture different segments. Test with 5–10% of market before full rollout.

Operations / Process

Supply chain optimization, lean methodology, bottleneck analysis, capacity planning, quality improvement, and process redesign.

"Our client's delivery times are 2x competitors — fix it"

Map the end-to-end process: order receipt → warehouse pick → packing → shipping → last-mile delivery. Identify bottleneck (Theory of Constraints). Common issues: (1) Warehouse — poor layout, manual picking vs automated. Solution: zone picking, wave planning, invest in WMS. (2) Shipping — suboptimal carrier contracts, no regional distribution. Solution: negotiate volume discounts, add a regional fulfillment center closer to demand clusters. (3) Last-mile — single carrier dependency. Solution: multi-carrier strategy, route optimization software. Quick wins: implement batch processing for orders, set up real-time tracking. Target: reduce delivery time by 40% within 6 months.

Behavioral for Consulting

Why consulting, leadership under pressure, teamwork, conflict resolution, client management, and structured STAR answers for MBB behavioral rounds.

"Why consulting?"

Three pillars: (1) Variety and learning curve — I thrive on solving different problems across industries. In consulting, I'd work on a pricing strategy for a retailer one month and a digital transformation for a bank the next. No two projects are alike. (2) Impact at scale — consulting lets you work on problems that affect thousands of employees and millions of customers. My [specific experience] showed me the satisfaction of driving measurable business impact. (3) Collaborative problem-solving — the team-based case approach mirrors how I work best. At [specific example], I led a cross-functional team to [result], and I want to do that at scale with world-class teammates.