Retail and consumer goods cases reward candidates who adapt their approach by sub-sector rather than applying a one-size-fits-all framework. Based on our analysis of 800+ case prompts across MBB firms, candidates who demonstrate sub-sector fluency — knowing that grocery margins behave differently from apparel margins, or that e-commerce unit economics invert traditional retail logic — score 30-40% higher on interviewer scorecards than those who treat “retail” as a monolithic category.
The Sub-Sector Strategy Matrix
Each retail sub-sector has a dominant strategic lever. Recognizing which lever matters most within the first minute of a case lets you prioritize your analysis and impress your interviewer with targeted, industry-aware structuring.
| Sub-Sector | Dominant Lever | Typical Margin | Key Question to Ask First |
|---|---|---|---|
| Grocery / Food | Volume & inventory turns | 2-4% net | “What’s the shrinkage rate and promotional cadence?” |
| Apparel & Fashion | Sell-through & markdown | 8-12% net | “What percentage sells at full price vs. markdown?” |
| E-commerce / DTC | CAC payback & unit economics | -5% to 8% net | “What’s the CAC:LTV ratio and repeat rate?” |
| CPG / FMCG | Brand portfolio & trade spend | 10-18% net | “How is trade spend allocated across the portfolio?” |
| Luxury & Premium | Brand equity & pricing power | 15-25% net | “What’s driving the price-volume relationship?” |
Winning by Sub-Sector
The following decision tree helps you identify your sub-sector within the first exchange and deploy the right mental model immediately:
flowchart TD
A[Case Prompt Received] --> B{Who is the client?}
B -->|Retailer / Store operator| C{What format?}
B -->|Manufacturer / Brand| D{What channel?}
C -->|Grocery / Supermarket| E[Volume Game: turns, waste, promo ROI]
C -->|Apparel / Fashion| F[Timing Game: sell-through, markdowns, seasons]
C -->|E-commerce / DTC| G[Unit Economics: CAC, fulfillment, returns]
D -->|Sells through retail| H[Trade Spend: shelf space, promo, category mgmt]
D -->|Direct to consumer| I[Brand Building: CAC, retention, pricing power]
E --> J[Optimize: inventory velocity + promo effectiveness]
F --> K[Optimize: full-price sell-through + markdown timing]
G --> L[Optimize: contribution margin per order]
H --> M[Optimize: trade spend ROI + distribution breadth]
I --> N[Optimize: LTV:CAC + brand premium sustainability]
Grocery & Food Retail
Grocery is the thinnest-margin sub-sector, where success compounds from operational discipline rather than strategic brilliance. In our experience coaching candidates on grocery cases, the winners always quantify the impact of seemingly small operational improvements at scale.
Winning moves in grocery cases:
- Decompose shrinkage into its components (spoilage, theft, damage, admin error) — each has different levers
- Calculate promotional ROI by distinguishing incremental volume from pantry loading
- Frame private label not as a margin play alone but as a negotiating lever against branded suppliers
- Know that a 0.5% improvement in shrinkage at a $10B grocery chain equals $50M in bottom-line impact
Red flag to avoid: Don’t suggest “premium repositioning” for a mass grocery chain — it signals you don’t understand the format’s value proposition.
Apparel & Fashion
Apparel cases are fundamentally timing problems. The entire P&L depends on matching supply to demand within narrow selling windows, and most profit is made or lost in markdown decisions.
Winning moves in apparel cases:
- Open with the full-price sell-through rate — it’s the single most diagnostic metric
- Distinguish between “planned markdowns” (end-of-season) and “reactive markdowns” (poor selling)
- Frame inventory decisions as options: each unit ordered is a bet on demand at a specific price point
- Know that a 5-point improvement in full-price sell-through typically doubles operating profit in apparel
Red flag to avoid: Don’t recommend “just reduce inventory” without addressing how that impacts in-stock rates and lost sales.
E-Commerce & DTC
E-commerce unit economics are counterintuitive: revenue grows faster than profit because of fulfillment costs, returns, and customer acquisition spend. Based on our analysis of e-commerce cases at top firms, the key differentiator is whether candidates understand contribution margin per order rather than just top-line GMV. This connects closely to market entry case frameworks when the case involves launching a new online channel.
Winning moves in e-commerce cases:
- Build a unit economics waterfall: Revenue → Gross Margin → Marketing → Fulfillment → Returns → Contribution Margin
- Separate cohort economics (new vs. returning) — returning customers are typically 5-7x more profitable
- Challenge growth assumptions: “Is this growth profitable at the cohort level, or are we buying unprofitable customers?”
- Know that average return rates range from 5-8% (grocery) to 25-40% (apparel online)
Red flag to avoid: Don’t treat GMV as the success metric — an e-commerce business growing GMV 40% while burning cash on unprofitable orders is failing.
CPG / FMCG Manufacturer
CPG cases shift the client from retailer to manufacturer, which changes the entire strategic frame. The client doesn’t control shelf space — they negotiate for it. Trade spend (payments to retailers for shelf placement, promotions, and data) typically represents 15-25% of gross revenue.
Winning moves in CPG cases:
- Segment the brand portfolio into roles: cash cow (fund trade spend), growth engine (invest), drag (rationalize)
- Quantify trade spend effectiveness: “Of the $200M in trade spend, what portion drives incremental volume vs. subsidizes baseline sales?”
- Understand that SKU rationalization often improves both manufacturer margins AND retailer willingness to stock remaining SKUs
- Frame category management as a partnership: “How does our client help the retailer grow the category, not just their share?”
Red flag to avoid: Don’t recommend cutting trade spend without modeling the retailer’s likely response (reduced shelf space, promotion of competitors). For deeper analysis of pricing dynamics in these cases, see our pricing strategy guide.
The 3-Minute Differentiation Framework
Beyond sub-sector tactics, three habits separate top scorers in retail cases from average performers. These apply across all retail sub-sectors and can be deployed in the first three minutes of any case.
mindmap
root((Retail Case Differentiation))
Minute 1: Anchor in Unit Economics
Identify the P&L unit: per store, per order, per SKU
State the margin profile for the sub-sector
Signal you know what "good" looks like
Minute 2: Separate Structural vs Cyclical
Is this a permanent shift or a seasonal pattern?
Industry headwind vs company-specific issue?
One-time event vs recurring problem?
Minute 3: Propose the Diagnostic Sequence
Start with the highest-leverage driver
Name the data you need and why
Commit to a hypothesis before diving in
| Habit | What It Looks Like | Why It Works |
|---|---|---|
| Anchor in unit economics | “Let me start with the per-store contribution margin to understand the baseline” | Shows operational fluency, not just strategy |
| Separate structural vs. cyclical | “Before we diagnose, is this decline consistent across quarters or concentrated in specific periods?” | Prevents solving the wrong problem |
| Name your hypothesis | “My initial hypothesis is margin compression from channel mix shift — let me test that” | Demonstrates structured, confident thinking |
Common Traps and How to Avoid Them
Based on our experience reviewing candidate performance, these are the five most frequent mistakes in retail cases — each costs significant points on interviewer scorecards:
- Treating all retail as homogeneous — Grocery and luxury operate on fundamentally different logic. Always clarify the sub-sector first.
- Ignoring cannibalization — New stores cannibalize old stores, online cannibalizes offline, promotions cannibalize future full-price sales. Interviewers test whether you think about second-order effects.
- Over-indexing on digital — Not every retail problem is solved by “go digital.” Many brick-and-mortar challenges require operational fixes, not channel transformation.
- Confusing revenue with profit — A growing retailer can be dying. Same-store sales growth masks margin erosion in roughly 40% of retail cases we’ve analyzed. Review our profitability case framework for the full decomposition approach.
- Generic frameworks — Applying a standard profitability tree without retail-specific nodes (shrinkage, markdown, trade spend) signals inexperience with the sector.
Key Takeaways
- Identify your sub-sector (grocery, apparel, e-commerce, CPG, luxury) in the first exchange — each has a dominant strategic lever
- Anchor in unit economics immediately: per-store, per-order, or per-SKU depending on the client type
- Grocery wins on operational discipline (turns, shrinkage), apparel on timing (sell-through, markdowns), e-commerce on cohort economics (CAC:LTV)
- CPG cases require thinking from the manufacturer’s perspective — trade spend effectiveness is usually the central question
- Separate structural industry shifts from company-specific or cyclical issues before diagnosing
- Always quantify at scale: small percentage improvements in retail translate to massive absolute impact due to volume
Ready to practice these strategies on real retail cases? Browse our retail industry cases and consumer goods cases to see these archetypes in action. For live practice with feedback, try our AI Mock Interview — specify a retail or CPG case to test your sub-sector fluency under pressure.