Route-to-market (RTM) strategy is one of the highest-impact levers in consumer goods — it determines how products reach shelves, at what cost, and with what level of control. Consulting firms regularly deploy teams on RTM transformation projects worth $50–200M in annual savings for large FMCG companies, making this a frequent case interview topic for candidates targeting consumer-sector practices.
Why RTM Cases Appear in Consulting Interviews
RTM sits at the intersection of operations, commercial strategy, and financial analysis — exactly the multi-dimensional thinking interviewers want to test. Based on our analysis of 800+ retail and consumer goods cases, approximately 15–20% of industry-specific cases involve distribution or go-to-market decisions. These cases test whether you can balance reach, cost, and control simultaneously rather than optimizing a single variable.
| RTM Case Trigger | What the Interviewer Tests | Common For |
|---|---|---|
| “Our products aren’t reaching rural stores” | Coverage vs. cost trade-off | Market entry |
| “Margins are eroding in traditional trade” | Channel economics analysis | Profitability |
| “We’re launching a premium SKU line” | Channel-product fit logic | Product launch |
| “A competitor is gaining share in convenience” | Speed-to-shelf capability | Competitive response |
| “We want to bypass wholesalers” | Disintermediation risk assessment | Cost reduction |
The RTM Framework: Four Layers of Analysis
When you encounter an RTM case, structure your approach across these four interdependent layers:
flowchart TD
A[Route-to-Market Strategy] --> B[Channel Architecture]
A --> C[Distribution Model]
A --> D[Channel Economics]
A --> E[Execution Capability]
B --> B1[Direct vs. Indirect]
B --> B2[Channel Mix by Segment]
B --> B3[Exclusivity Decisions]
C --> C1[Own Fleet vs. 3PL]
C --> C2[Wholesaler Tiers]
C --> C3[Last-Mile Design]
D --> D1[Margin Stack by Channel]
D --> D2[Trade Spend ROI]
D --> D3[Cost-to-Serve]
E --> E1[Sales Force Sizing]
E --> E2[Order-to-Delivery Cycle]
E --> E3[Technology & Data]
Layer 1: Channel Architecture
The foundational question is which channels to serve and how. In our experience working with CPG companies across emerging and developed markets, the channel architecture decision drives 60–70% of total RTM cost.
Key variables to size:
- Modern trade (hypermarkets, supermarkets) vs. traditional trade (independent stores, kiosks)
- Online/D2C share and growth trajectory
- On-premise channels (restaurants, hotels) if applicable
Layer 2: Distribution Model
This layer defines who physically moves the product. The spectrum runs from fully direct (company-owned trucks, employed delivery staff) to fully indirect (exclusive distributors who buy inventory and resell).
| Model | Reach | Cost | Control | Best For |
|---|---|---|---|---|
| Direct store delivery (DSD) | High in urban | Highest | Full | Premium, perishable, high-velocity SKUs |
| Hybrid (own + sub-distributors) | Medium-High | Medium | Moderate | Mid-tier brands scaling nationally |
| Exclusive distributor | Varies | Lower fixed | Limited | Market entry, low-density geographies |
| Wholesaler network | Highest | Lowest | Minimal | Mass-market commodity products |
Layer 3: Channel Economics
In any RTM case, you need to map the margin waterfall from manufacturer to consumer. A typical FMCG margin stack:
- Manufacturer net revenue: 100%
- Primary distributor margin: 5–12%
- Secondary wholesaler margin: 3–8%
- Retailer margin: 15–35% (varies by channel)
- Trade promotions & listing fees: 8–20% of net revenue
The cost-to-serve metric — total distribution cost divided by cases delivered — is the single most important KPI in RTM optimization cases.
Layer 4: Execution Capability
Even the best-designed RTM architecture fails without execution muscle. In case interviews, this layer often surfaces as the “so what” — after you’ve identified the right model, the interviewer asks how to implement it.
Key execution metrics:
- Numeric distribution: percentage of target outlets carrying the SKU
- Strike rate: percentage of sales visits resulting in an order
- Order fill rate: percentage of orders delivered complete and on time
- Productive call ratio: revenue per sales rep visit
Common RTM Case Archetypes
Based on our analysis of consulting case libraries, RTM problems cluster into five recurring archetypes:
mindmap
root((RTM Case Types))
Coverage Expansion
Rural penetration
New geography entry
Micro-distributor models
Cost Optimization
Fleet rationalization
Warehouse consolidation
SKU complexity reduction
Channel Conflict
DTC vs. retail pricing
Modern vs. traditional trade
Cross-border gray market
Digital Transformation
B2B ordering platforms
Route optimization AI
Real-time inventory visibility
M&A Integration
Distribution network overlap
Go-to-market synergies
Salesforce consolidation
How to Solve an RTM Case: Step-by-Step
Step 1: Clarify the objective. RTM cases often have multiple goals in tension (grow coverage AND reduce cost). Ask which metric is primary.
Step 2: Map the current state. Before proposing changes, understand: how many SKUs, how many outlets, what channels, what cost-to-serve today?
Step 3: Segment the opportunity. Not all outlets or geographies deserve the same service level. Segment by volume potential, strategic importance, and cost-to-serve.
Step 4: Design the target model. Match distribution model to each segment. High-value urban outlets may warrant DSD; rural tail outlets may need wholesalers or tech-enabled micro-distributors.
Step 5: Build the business case. Quantify incremental revenue from improved availability against the cost of the new model. Express as ROI or payback period.
Retail-Specific RTM Considerations
Retail cases differ from pure CPG distribution. The retailer IS the channel — so RTM questions shift to:
- Store network optimization: Which locations to open, close, or reformat
- Fulfillment model: Ship-from-store vs. dark stores vs. centralized DC
- Last-mile economics: When does same-day delivery become profitable?
In our experience, omnichannel retailers spend 12–18% of online revenue on last-mile fulfillment, versus 2–4% for in-store fulfillment. This gap is the central tension in most retail RTM cases.
Key Takeaways
- RTM cases test your ability to balance reach, cost, and control — never optimize one dimension in isolation
- Always map the margin waterfall from manufacturer to consumer before recommending changes
- Segment outlets by volume potential and cost-to-serve to avoid one-size-fits-all solutions
- Cost-to-serve per case delivered is the north-star metric in RTM optimization
- Digital RTM tools (B2B platforms, route optimization) are increasingly common case elements — reference them
- Quantify the business case: express recommendations as incremental revenue vs. cost, not just qualitative “better coverage”
Ready to practice retail and consumer goods cases? Explore our retail industry cases and consumer goods cases in the case library, or sharpen your structuring with an AI Mock Interview. For related frameworks, see our Growth Strategy Framework Guide and Market Entry Case Framework.