Market selection, segmentation, jobs‑to‑be‑done, demand insight.
“Where to play” defines the arena for strategy. It specifies the customers, problems, use cases, geographies, and channels a firm will pursue—and those it will not. These choices precede and constrain “how to win.” A strong theory of advantage can fail if it is aimed at the wrong market; a modest advantage can succeed if it is aimed precisely. This chapter sets out a disciplined approach to choosing arenas, segmenting demand, understanding customers’ jobs‑to‑be‑done, and translating demand insight into sequenced entry and growth.
I. Markets Are Chosen, Not Given
Common practice treats markets as fixed categories (industry codes, analyst labels). Strategically, a market is a design choice: a boundary drawn around a set of customers and use contexts for which the firm proposes a distinctive value. Drawing the boundary poorly yields illusions of size (inflated TAMs), misreads of competition (ignoring substitutes), and misfit between capabilities and need.
Three complementary ways to define the boundary:
Product/Category lens. Define the market as sellers of the same product type (e.g., “electric SUVs in North America”). This aids benchmarking and capacity planning but risks category myopia—ignoring functional substitutes and new models of provision.
Problem/Job lens. Define the market as the job‑to‑be‑done—the progress customers try to make in a particular circumstance (e.g., “reliable commute within 45 minutes,” “securely sign contracts with remote parties”). This lens reveals non‑obvious competitors and sources of non‑consumption.
Occasion/Context lens. Define the market by usage contexts or occasions (e.g., “weekday lunches at work,” “payments at unattended kiosks”). Occasion boundaries align with distribution and channel decisions and often map to pricing power.
A prudent boundary includes functional substitutes (solutions that can perform the job), key complements (whose availability limits demand), and the unit of adoption (individual, household, team, enterprise buying center). Anchoring on the job or occasion first, then mapping categories and channels, reduces error.
II. Assessing Market Attractiveness
Attractiveness is not only about growth size. It is about surplus to be created and captured relative to the firm’s capabilities and constraints. A practical checklist:
Structure and profitability. Use industry analysis: rivalry intensity; buyer and supplier power; entry barriers (scale, regulation, learning); threat from substitutes.
Demand magnitude and shape. Size the reachable opportunity (bottom‑up, not just top‑down). Understand heterogeneity—how willingness‑to‑pay and usage vary across segments.
Adoption barriers. Switching costs, compliance hurdles, integration effort, training burden, or behavior change required.
Complement dependence. Availability and power of complements (channels, standards, data sources).
Network effects. Whether value increases with adoption and whether multi‑homing is easy or hard.
Regulatory regime and policy trajectory. Permits, data rules, safety requirements; anticipate likely changes.
Unit economics headroom. Prospects for healthy CLV/CAC, contribution margins, and payback given channels and price sensitivity.
Right to win. Fit between the market’s decisive purchase criteria and the firm’s distinct capabilities or assets.
Attractiveness is a conjunction: structurally favorable market × exploitable differentiation × feasible go‑to‑market.
III. Segmentation: From Heterogeneity to Choice
Segmentation partitions demand into groups that differ meaningfully in what they value and how they buy. The purpose is not description but choice: to identify segments the firm will prioritize because it can serve them distinctively.
1) Principles of good segmentation
Actionable: segments imply different design, pricing, channel, or message choices.
Stable enough: segments persist long enough to justify investment, even as individuals move between them.
Measurable and reachable: segments can be identified in data and addressed with specific go‑to‑market tactics.
Economically meaningful: segments differ on willingness‑to‑pay, adoption barriers, or cost to serve—not only demographics.
2) Common bases
Demographic/firmographic: age, income, industry, size; useful for reach but often weak on causality.
Behavioral: usage frequency, basket mix, churn risk; closer to revealed preference.
Needs‑based/value‑based: differences in desired outcomes and willingness‑to‑pay for attributes; strongest link to strategy.
Occasion‑based: contexts that change constraints and choice sets (weekday vs weekend; field vs office).
Attitudinal: preferences and beliefs; useful for messaging if they correlate with behavior.
In business markets, add buying‑center segmentation (who leads, who vetoes) and process segmentation (length and complexity of procurement). In consumer markets, life‑stage and household role often align with occasions and needs.
3) Viability tests
For a target segment, test: Is it large enough to matter? Distinct enough to win? Accessible at reasonable CAC? Defensible against incumbents? A segment too small to support fixed costs, too fluid to target, or too well‑defended is a false friend.
IV. Jobs‑to‑Be‑Done: Competing for Customer Progress
The jobs‑to‑be‑done (JTBD) perspective reframes demand as a hire: customers “hire” a solution to make progress—functional, emotional, and social—in a circumstance. Understanding the job yields causal segmentation and exposes non‑consumption.
1) Elements of a job
Functional job: the practical outcome (move money, prepare a meal, analyze data).
Emotional job: feelings to achieve or avoid (avoid anxiety, feel in control, signal competence).
Social job: how the choice changes others’ perception (be a good colleague, a thoughtful parent).
Circumstances: constraints and context (time pressure, device, environment, policy).
Trade‑offs: what customers will give up (money, time, privacy, variety) to achieve the job.
Jobs are contextual: the same person may “hire” different solutions as circumstances change. The strategist’s task is to identify high‑stakes jobs that are underserved and align with the firm’s capabilities.
2) Outcomes and metrics
Translate jobs into desired outcomes stated as measurable improvements without prescribing solutions (e.g., “reduce time to schedule a qualified appointment,” “increase confidence in compliance at submission”). Rank outcomes by importance and current satisfaction to find underserved (high importance, low satisfaction) and overserved areas. Underserved outcomes suggest where to enter; overserved outcomes suggest where to cut cost or simplify.
3) Research methods
Switching interviews: dissect recent switches to uncover triggers, anxieties, and compensating behaviors.
Ethnography and shadowing: observe workarounds and hacks that reveal unmet jobs.
Journey mapping: break the job into stages; identify bottlenecks and handoffs.
Diary studies and usage telemetry: capture real‑world context and frequency for occasions.
Conjoint/choice experiments: quantify trade‑offs on attributes linked to outcomes; estimate willingness‑to‑pay.
JTBD does not replace economics; it explains it. It clarifies why certain attributes drive choice and when price or convenience dominates quality.
V. Demand Insight: From Data to Decision
Demand insight turns observation into decisions about scope, design, pricing, and sequencing. It integrates qualitative understanding of jobs with quantitative evidence on willingness‑to‑pay and adoption barriers.
1) Willingness‑to‑pay and price structure
Use suitable methods (e.g., discrete choice experiments, price sensitivity meters, observed elasticity where data allow) to estimate value by segment and to select a price architecture (tiers, bundles, usage meters). Pair this with unit economics: CLV/CAC by segment, cohort retention, and expansion. The goal is to identify segments with both need and margin.
2) Adoption frictions
Map the total cost of adoption: switching costs, integration effort, learning curve, process change, risk of failure, political resistance in buying centers. These frictions are often decisive. They determine sequencing (target low‑friction beachheads first) and product design (migration tools, adapters, service overlays).
3) Channel fit
Demand is mediated by channels. For each target segment, assess the channel through which it prefers to discover, try, buy, and use. Align scope with channel capacity (field sales, online self‑serve, partners). Mismatch between target segment and channel economics is a common hidden cause of failure.
4) Leading indicators of product–market fit
In consumer contexts: early retention curves, repeat purchase rates, referral rates, and time‑to‑value. In B2B: time‑to‑first‑value, active usage among the buying center, net revenue retention, and implementation cycle time. These inform whether to scale in the chosen segment or iterate before expanding.
VI. Entry Strategy and Sequencing
Even in attractive arenas, sequence matters. Early choices create path dependence through brand, references, and capabilities.
1) Beachhead and wedge
Choose a beachhead—a narrow segment where the firm’s advantage is sharpest and the adoption barrier is low. Design a wedge: a specific use case or product slice that solves a high‑value job in that beachhead (e.g., one department, one workflow, one geography, one occasion). Wedges reduce complexity, create references, and clarify which adjacent segments are reachable.
2) Reference customers and contagion paths
In B2B, reference customers in visible or influential organizations reduce perceived risk for others. In consumer markets, social contagion paths (communities, workplaces, schools) propagate adoption. Prefer beachheads that influence adjacent segments—keystones whose endorsement or visibility matters.
3) Adjacency mapping
Plan expansions along deliberate adjacencies: new segments with similar jobs, new geographies where the job and channel are familiar, or new use cases for existing customers. Each adjacency should reuse capabilities and assets (data, channel, brand permissions) to maintain economies of scope. When an adjacency requires new capabilities, treat it as an option with staged investment and stop rules.
4) Exit and pruning
Scope is as much about exiting segments as entering. Use pre‑defined thresholds (unit‑economics floor, time‑to‑value, regulatory burden) to prune segments that dilute focus. Pruning enlarges advantage where the firm truly fits.
VII. Portfolio of Arenas
Most firms operate across multiple arenas. Treat where to play as a portfolio problem: balance segments by growth horizon, margin, risk, and capability development.
Core segments fund the firm; protect through incremental improvement and service quality.
Growth segments consume investment; measure learning velocity and leading indicators.
Options probe uncertain but potentially large arenas; cap exposure and define graduation criteria.
Harvest/exit segments return cash; minimize complexity and commitments.
The portfolio evolves as segments mature, regulations shift, and technology changes adoption costs. A periodic scope review prevents drift.
VIII. Practical Playbook
A concise, repeatable process for “where to play” decisions:
Define the job and context. Write a one‑sentence job statement for the candidate arena; list substitutes and complements.
Map demand heterogeneity. Identify 5–8 hypothesized segments using needs/occasion bases; note buying center or discovery channel for each.
Size bottom‑up. Estimate reachable volume and price bands per segment using customer counts, frequency, and willingness‑to‑pay evidence.
Score attractiveness × fit. For each segment, score structure, adoption friction, channel fit, and right to win (capabilities, data access, references). Force rank.
Select a beachhead. Choose one or two segments with the best combined score and clear wedges. Declare not to pursue others now.
Design the wedge. Specify the subset of features, service, and channel moves needed to win beachhead jobs; set leading indicators and thresholds.
Instrument and learn. Run probes; monitor retention, time‑to‑value, and unit economics; conduct switching interviews for wins and losses.
Plan adjacencies. If thresholds are met, expand along the planned adjacency path; if not, pivot to the next ranked segment or refine the job definition.
Review and prune. Quarterly, revisit the ranking; prune efforts that fail thresholds to protect focus.
This cadence turns market selection from a one‑time declaration into a managed cycle of learning and allocation.
IX. Common Failure Modes
TAM inflation. Counting everyone who might ever use a category rather than those who can be reached at acceptable CAC. Remedy: bottom‑up sizing anchored in channels and willingness‑to‑pay.
Category myopia. Ignoring substitutes that perform the same job; being blindsided by new supply models. Remedy: define markets by job first, category second.
Over‑segmentation. Creating dozens of fragile personas or micro‑segments that cannot be targeted differently. Remedy: collapse to a small set that imply distinct decisions.
Underspecified beachheads. Entering a broad market with a generalist value proposition and weak references. Remedy: design sharp wedges tied to influential or low‑friction segments.
Channel mismatch. Targeting segments that require expensive sales coverage with a self‑serve model, or vice versa. Remedy: co‑design segments and channels.
Misreading willingness‑to‑pay. Using list prices or stated preferences rather than revealed behavior; failing to link value metrics to price. Remedy: run choice experiments or price tests; instrument conversion vs. price.
Ignoring adoption cost. Underweighting integration effort, training, and political risk in buying centers. Remedy: map the full cost of change; build migration tools and services.
Equating early enthusiasts with the mainstream. Early adopters tolerate complexity and novelty that the majority will not. Remedy: explicitly plan for transition from early to mainstream segments.
Portfolio bloat. Accumulating segments without pruning; complexity rises, focus erodes. Remedy: institute exit thresholds and celebrate pruning.
X. Integration with Other Lenses
Positioning & IO. Market selection and segmentation determine which structure you will face and which rivals matter. Positioning then specifies the activity system and trade‑offs to win in the chosen segments.
RBV & Dynamic Capabilities. Fit tests whether your capabilities match target segments’ decisive purchase criteria. Dynamic capabilities determine whether you can reconfigure for adjacencies as you expand.
Game Theory. Where‑to‑play choices shape commitments and signals to rivals and partners (e.g., focusing on a beachhead can deter diffuse retaliation; selecting a keystone segment can shape standards).
Complexity & Learning. Treat segments as hypotheses; use probes to test job fit and willingness‑to‑pay; maintain modular offers and channels to reconfigure as learning arrives.
Ecosystems & Platforms. For platform plays, “where to play” includes which sides and use cases to seed first, which complementors to attract initially, and which governance promises will unlock participation.
