Retail and consumer goods is the industry candidates most commonly misjudge in case interviews. Because everyone shops, interviewers assume a higher baseline of commercial awareness — and penalize generic answers more harshly. Based on our analysis of 800+ case prompts, approximately 20% of first-round MBB interviews feature a retail or CPG scenario, and the top differentiator between candidates who pass and those who don’t is industry-specific vocabulary and metric fluency.
This guide distills the essential knowledge you need before your interview — not a full framework (see our retail industry deep dive for that), but the foundational facts that prevent you from sounding like a generalist.
The Retail Value Chain
Every retail case sits somewhere on this value chain. Identifying where your case client operates — and where value is created versus destroyed — is your first analytical move.
flowchart LR
A[Sourcing & Procurement] --> B[Manufacturing / Processing]
B --> C[Distribution & Logistics]
C --> D[Store Operations / E-commerce]
D --> E[Marketing & Merchandising]
E --> F[Consumer Purchase]
F --> G[Post-Sale & Loyalty]
Most retail cases focus on nodes D through F. Consumer goods (CPG) cases typically emphasize A through C plus E. Understanding which part of the chain your client controls — versus what sits with retail partners — determines which levers are actually available.
Industry Structure by Sub-Sector
Not all retail is equal. A grocery case and an apparel case have fundamentally different economics, and applying the wrong mental model will derail your analysis in the first two minutes.
| Sub-Sector | Gross Margin | Inventory Turns/Year | Key Driver | Typical Case Prompt |
|---|---|---|---|---|
| Grocery / Supermarket | 25–35% | 12–20 | Volume, basket size, private label mix | “Same-store sales declining at a regional grocery chain” |
| Apparel & Fashion | 50–65% | 4–6 | Trend speed, markdown management | “Fast-fashion retailer losing share to online competitors” |
| Consumer Electronics | 15–25% | 8–12 | Attach rates, service revenue | “Electronics retailer facing margin pressure from online pure-plays” |
| Home & DIY | 30–40% | 5–8 | Pro customer capture, project bundling | “Home improvement chain evaluating new store format” |
| Beauty & Personal Care | 60–75% | 6–10 | Brand loyalty, influencer marketing | “Premium beauty brand considering DTC channel” |
| Quick-Service Restaurants | 60–70% | N/A (perishable) | Throughput, franchisee economics | “QSR chain expanding into new market” |
Metrics You Must Know
Walk into a retail case interview without these metrics and you’ll immediately signal that you haven’t done your industry homework. In our experience coaching candidates through 200+ retail mock interviews, metric fluency separates top-quartile performers from the rest.
Revenue Metrics
| Metric | Formula | Why It Matters |
|---|---|---|
| Same-Store Sales (SSS) | Revenue growth at stores open 12+ months | Isolates organic growth from new store openings |
| Revenue per Square Foot | Total revenue ÷ selling area | Measures space productivity; benchmarks vary by sub-sector |
| Traffic × Conversion × Basket Size | Decomposes total revenue into actionable drivers | The fundamental equation for any store-level profitability case |
| Average Transaction Value (ATV) | Revenue ÷ number of transactions | Indicates upsell/cross-sell effectiveness |
Operational Metrics
| Metric | Formula | Benchmark Range |
|---|---|---|
| Inventory Turnover | COGS ÷ average inventory | 4–20x depending on sub-sector |
| Gross Margin Return on Inventory (GMROI) | Gross margin ÷ average inventory cost | Target: >3.0 for healthy retailers |
| Shrinkage Rate | Lost inventory ÷ total inventory value | Industry average: 1.4–1.6% |
| Sell-Through Rate | Units sold ÷ units received | >80% before markdowns indicates strong buying |
Customer Metrics
| Metric | What It Reveals |
|---|---|
| Customer Acquisition Cost (CAC) | Efficiency of marketing spend in driving new shoppers |
| Customer Lifetime Value (CLV) | Long-term value; critical for evaluating loyalty programs |
| Net Promoter Score (NPS) | Brand health proxy; grocery averages 30–40, luxury 50–70 |
| Repeat Purchase Rate | Retention strength; varies from 20% (electronics) to 70% (grocery) |
Five Industry Dynamics That Shape Every Case
These aren’t trends you should mention for bonus points — they’re structural forces that actively change which solutions are feasible. Ignoring them makes your recommendation outdated before you finish presenting it.
1. Omnichannel Is Table Stakes
Online penetration reached 20–25% of total retail in mature markets by 2025. The question is no longer “should we go online?” but “how do we make physical and digital channels reinforce each other?” Key concepts: click-and-collect, ship-from-store, unified inventory, attribution challenges.
2. Private Label Growth
Retailer-owned brands now capture 25–40% of grocery revenue in markets like the UK, Germany, and Australia. In the US, the figure is approaching 25%. For CPG companies, this is an existential margin threat. For retailers, it’s a margin expansion lever — private label margins typically run 10–15 percentage points above national brands.
3. Supply Chain as Competitive Advantage
Post-2020 disruptions permanently elevated supply chain from a back-office function to a boardroom priority. Leading retailers invest 3–5% of revenue in supply chain technology. Key concepts: near-shoring, safety stock optimization, demand sensing, last-mile economics.
4. Sustainability Pressure
Consumer goods companies face pressure from both consumers and regulators. ESG-linked metrics increasingly appear in case prompts: scope 3 emissions, packaging recyclability, supply chain transparency. In our experience, roughly 10–15% of retail cases now include a sustainability dimension.
5. Data Monetization and Retail Media
Retail media networks (Amazon, Walmart Connect, Kroger Precision Marketing) represent a high-margin revenue stream where retailers monetize first-party shopping data. This $45B+ market is growing at 20%+ annually and fundamentally changes retail P&L structures — some retailers now generate more operating profit from media than from selling products.
Common Case Archetypes
Based on our work analyzing retail case libraries, these five archetypes cover approximately 80% of retail cases you’ll encounter at top firms:
mindmap
root((Retail Case Archetypes))
Store Performance
Same-store sales decline
New format evaluation
Store portfolio optimization
Channel Strategy
Omnichannel integration
DTC vs. wholesale
Marketplace entry
Pricing & Promotions
Price architecture
Promotional ROI
Dynamic pricing
Supply Chain
Inventory optimization
Last-mile delivery
Sourcing strategy
Growth
Market entry
M&A evaluation
Category expansion
How to Recognize the Archetype Quickly
| If the prompt mentions… | It’s likely a… | Start with… |
|---|---|---|
| “Same-store sales,” “traffic decline” | Store Performance case | Traffic × Conversion × Basket decomposition |
| “Online channel,” “DTC,” “marketplace” | Channel Strategy case | Channel economics comparison (margin, CAC, CLV by channel) |
| “Price war,” “promotions not working” | Pricing case | Price elasticity, competitive positioning, promo cannibalization |
| “Stockouts,” “delivery costs,” “lead times” | Supply Chain case | End-to-end cost mapping, service level vs. inventory trade-off |
| “New market,” “acquire competitor” | Growth case | Market sizing → competitive landscape → entry mode |
CPG vs. Retail: Know the Difference
Candidates frequently blur the line between retail cases and CPG (Consumer Packaged Goods) cases. The distinction matters because the levers available are completely different.
| Dimension | Retailer (e.g., Walmart, Tesco) | CPG Company (e.g., P&G, Unilever) |
|---|---|---|
| Controls shelf space | Yes — directly | No — must negotiate with retailers |
| Pricing power | Sets consumer price | Sets wholesale price; retailer controls final price |
| Consumer data access | Full transaction data | Limited; relies on panels (Nielsen, IRI) or retail media |
| Key profitability lever | Store operations efficiency | Brand premium and marketing ROI |
| Channel conflict risk | Low | High (DTC vs. wholesale tension) |
This distinction is critical when structuring your answer. A CPG company asking “how do we grow revenue?” has fundamentally different options than a retailer asking the same question.
Key Takeaways
- Retail cases appear in ~20% of MBB first-round interviews; interviewers expect sharper commercial intuition than in other industries because everyone is a consumer
- Master the revenue decomposition formula: Traffic × Conversion × Basket Size — it applies to virtually every store-level case
- Know your sub-sector economics: grocery (low margin, high turns) operates nothing like apparel (high margin, markdown-driven)
- Distinguish retailer vs. CPG cases immediately — the available levers are completely different
- Five structural forces (omnichannel, private label, supply chain, sustainability, retail media) should inform any recommendation you make
- Metric fluency (SSS, GMROI, sell-through rate) signals industry expertise and earns interviewer trust within the first 60 seconds
Ready to Practice?
Put this knowledge to work with retail industry cases and consumer goods cases from our case library. For frameworks to structure your analysis, see our retail case archetypes guide. When you’re ready to test under pressure, try an AI Mock Interview with a retail scenario.