CPG Terms Explained, a series by Cyril Ovely

What Is Route to Market (RTM)? How CPG Brands Design Their Path from Factory to Shelf

Route to Market is the strategic framework that defines how a manufacturer's products reach the end consumer, encompassing channel selection, distribution models, coverage design, and the sales operating model.

The short answer

Route to Market (RTM) is the blueprint for getting products from your factory to the shopper's basket. It answers four questions: Which retail channels do we sell through? Do we deliver directly or use distributors? How do we divide territories among our sales team? And what service level does each store receive?

RTM isn't a single decision. It's a system of interconnected choices that determines your cost to serve, your market coverage, and ultimately whether shoppers can actually find and buy your product.

Why it matters in CPG

A great product with a broken route to market is a product that sits in a warehouse. The best brands in CPG aren't just great at marketing. They're great at distribution. They've designed an RTM system that puts the right pack, in the right store, at the right frequency, at a cost that still delivers margin.

RTM decisions shape everything downstream:

  • Revenue: If your RTM doesn't reach the outlets where your target shopper buys, no amount of advertising will save you.
  • Cost to serve: Servicing 5,000 small stores with your own trucks costs dramatically more than servicing 500 chains through distribution centers. Your RTM design determines your logistics bill.
  • Execution quality: Direct store delivery gives you control over shelf placement. Warehouse delivery gives you scale but less visibility. Your RTM model determines how much influence you have at the point of sale.
  • Growth ceiling: Your RTM defines your addressable market. If you only service modern trade, you're missing the 80% of outlets that are traditional trade in most emerging markets.

When RTM goes wrong: A beverage company expanded into rural markets using the same direct store delivery model that worked in cities. Delivery times tripled. Cost per case doubled. Stockouts increased because routes were too long for daily replenishment. The fix: a hub and spoke model with local distributors for last mile delivery. Same market, different RTM.

How it works in practice

Scenario: A midsize snack brand sells in a market with three distinct channel types:

Channel# OutletsCharacteristicsBest RTM Model
Modern Trade (supermarkets)150Centralized buying, EDI ordering, planogram complianceDirect delivery to DC or store
Semi-Modern (mini chains)800Semi-centralized buying, weekly orders, basic merchandisingDistributor with SFA support
Traditional (independent stores)12,000Owner operated, cash and carry, daily purchasingVan sales or pre-sell via distributor

Each channel needs a different RTM approach:

Modern Trade: Direct relationship. A key account manager negotiates range, pricing, and promotions. Products ship to the retailer's distribution center. Execution measured by OTIF and fill rate. Low cost per case, high volume per delivery.

Semi-Modern: Distributor led. A local distributor stocks the range and services accounts on a weekly call cycle. The brand provides SFA tools, planograms, and trade promotion support. The distributor handles ordering, delivery, and collection.

Traditional: Van sales or pre-sell. A van salesman covers a daily route of 30 to 50 small stores, taking orders and delivering on the spot (van sales), or a pre-sell rep takes orders by phone or app today and a delivery van fulfills tomorrow. Pack sizes are smaller, margins need to accommodate an extra layer (distributor margin), and frequency is driven by shelf capacity and cash flow.

The brand's RTM strategy document would specify: which channels to prioritize, the service model for each, the distributor selection criteria, territory design for field teams, and the KPIs for each channel (coverage, activation rate, cost to serve, OTIF).

For the technically minded: In a sales execution platform, RTM maps to a channel hierarchy in the data model. Each outlet belongs to a channel, and that channel determines its service model: delivery frequency, order method, and the type of field rep assigned. Territory design becomes a graph partitioning problem: assign outlets to reps so that coverage targets are met while minimizing travel cost. Your RTM strategy is essentially a set of routing rules applied to a hierarchical node structure.

Key metrics & related concepts

  • Numeric Distribution: the percentage of stores carrying your product (a breadth measure)
  • ACV Distribution: the percentage of market sales volume in stores carrying your product (weighted reach)
  • Coverage Model: how territories and accounts are assigned to field sales
  • Call Cycle: how frequently each store is visited
  • Activation Rate: the percentage of distributed stores that are actually ordering
  • Cost to Serve: total logistics and sales cost per case, by channel
  • White Space: stores or geographies where you should be but aren't

Common mistakes & misconceptions

Mistake #1: Copying a competitor's RTM.
Every brand's RTM should reflect its category, pack architecture, margin structure, and target shopper. A premium brand with high margins can afford a more expensive RTM model. A value brand needs to minimize cost to serve. Don't assume what works for a multinational works for you.

Mistake #2: Treating RTM as a one time decision.
Markets evolve. Retailers consolidate. E-commerce grows. New channels emerge (quick commerce, social commerce). RTM needs periodic review, at minimum during annual planning, and when market structure shifts significantly.

Mistake #3: Optimizing for store count instead of value.
"Let's get into 10,000 stores!" sounds like a great target. But if those 10,000 stores generate 5% of category sales, you've built an expensive distribution network for minimal return. Always design RTM around ACV and sales potential, not raw outlet counts.

Mistake #4: Ignoring the distributor's capabilities.
In distributor led models, your RTM is only as good as your distributor's execution. Selecting a distributor based on price alone, without assessing their fleet, tech adoption, sales team quality, and financial stability, is a recipe for poor coverage and stockouts.

Regional variations

RTM looks very different depending on the market:

  • US: Dominated by direct store delivery (DSD) for major CPG companies and warehouse delivery for larger retailers. Broker networks handle smaller accounts. Highly consolidated retail means fewer, larger accounts.
  • India: Multi-tier distributor network. Super stockists to distributors to sub-distributors to retailers. Traditional trade (kirana stores) accounts for roughly 85% of outlets. RTM complexity is among the highest in the world.
  • Indonesia: Similar multi-tier model with warungs (small family shops) as the dominant channel. Geography (17,000+ islands) adds logistics complexity.
  • UK: Highly consolidated modern trade (top 5 supermarkets around 60 to 65 percent of grocery). Symbol groups (Best One, Londis) serve the independent segment. DSD is less common; warehouse delivery dominates.
  • NZ/AU: Two major supermarket chains (Coles and Woolworths in AU; Woolworths New Zealand in NZ) dominate. Smaller market means simpler RTM but high per-unit logistics costs for regional coverage.

How leading CPG teams use RTM

Leading organizations treat RTM as a living strategy, not a static document. They use real time distribution data to identify white space, AI powered route optimization to reduce cost to serve, and field execution platforms to ensure that the RTM design translates into consistent store level performance. The best RTM strategies connect commercial planning (which channels, which stores) with execution intelligence (did the rep visit, was the order taken, is the product on shelf).


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Cyril Ovely
Co-Founder and CTO, Vxceed

Cyril is the Co-Founder and CTO at Vxceed. With over two decades of experience in engineering and entrepreneurship, he focuses on building scalable SaaS solutions that transform demand chain execution and help businesses operate with greater agility in evolving markets.