Customer Behaviour, Segmentation and Targeting

Introduction

Entrepreneurial marketing begins with a disciplined answer to three questions: Whose problem is being solved? What behaviour reveals that the problem matters? How can scarce marketing resources be concentrated on the most attractive customers? Customer behaviour, segmentation and targeting provide the analytical foundation for answering these questions.

A market is not a homogeneous crowd. Customers differ in needs, motivations, income, risk tolerance, usage situations, organisational roles, digital access and willingness to pay. An attractive product may therefore fail because it is presented to the wrong audience, at the wrong time, through the wrong channel, or with an unsuitable value proposition.

Customer analysis is especially important for entrepreneurial firms. Start-ups usually have limited budgets, incomplete information and little brand recognition. They cannot serve every possible customer effectively. A clear target market enables sharper positioning, more efficient experimentation and better allocation of sales, product and communication resources.

This chapter integrates behavioural theory with practical tools: buying-process models, jobs-to-be-done, personas, ideal customer profiles, segmentation criteria and target-market evaluation. It distinguishes B2C markets, in which individuals or households buy, from B2B markets, in which organisations buy through formal and informal decision processes.

Learning Objectives

By the end of this chapter, learners should be able to:

1. Explain major theories and models of consumer and organisational buying behaviour.
2. Distinguish needs, wants, motives, perceptions, attitudes and behavioural intentions.
3. Apply the buying-process model and jobs-to-be-done approach to entrepreneurial opportunities.
4. Construct evidence-based B2C personas and B2B ideal customer profiles.
5. Segment markets using meaningful demographic, behavioural, psychographic, geographic and firmographic variables.
6. Evaluate and select target markets using attractiveness and strategic-fit criteria.
7. Recognise ethical, privacy and governance issues in behavioural targeting and the use of AI.

1. Understanding Customer Behaviour

Customer behaviour is the study of how individuals, households, groups and organisations recognise needs, search for information, evaluate alternatives, make choices, use offerings and respond after purchase. It includes observable actions and less visible processes such as motivation, interpretation, learning and attitude formation.

1.1 Needs, wants and demand

A need is a perceived deficiency or desired state, such as safety, belonging, convenience or competence. A want is a culturally and personally shaped expression of a need. Demand exists when a customer both wants an offering and has the ability and willingness to obtain it.

Entrepreneurs should not assume that a stated want is automatically a viable demand signal. Customers may express interest but lack budget, urgency or authority. Behavioural evidence—such as repeated searching, trial, payment, referrals or switching—usually provides stronger evidence than a general opinion.

1.2 Motivation and value

Motivation is the internal force that directs behaviour toward a goal. Functional motives concern performance, speed, reliability or cost. Emotional motives include confidence, pleasure, status or relief from anxiety. Social motives relate to belonging, identity and approval.

Perceived customer value can be represented conceptually as:

Benefits may include functional, emotional and social outcomes. Sacrifices include money, time, effort, learning cost, privacy risk and psychological uncertainty. This expression is not a universally measurable accounting identity; it is a managerial framework for comparing alternatives. Its usefulness depends on identifying the relevant benefits and sacrifices for a particular segment.

1.3 Perception, learning and attitudes

Customers do not respond to objective information alone. They selectively notice, interpret and remember information. Perception is influenced by prior experience, attention, expectations, culture and context. A technically superior product may be rejected if customers cannot understand its value or perceive it as risky.

Learning occurs when experience changes future behaviour. Positive reinforcement may increase repeat purchase; poor service may create avoidance. Marketers should therefore examine not only acquisition but also onboarding, usage, satisfaction and recovery after failure.

An attitude is a relatively enduring evaluation of an object, brand or behaviour. Attitudes often contain:

• a cognitive component: beliefs or knowledge;
• an affective component: feelings or emotions; and
• a behavioural or conative component: intention or readiness to act.

Attitude does not guarantee behaviour. Price, availability, social pressure, habit and situational constraints can intervene between intention and action.

2. Theoretical Perspectives on Buying Behaviour

2.1 The stimulus–organism–response perspective

The stimulus–organism–response framework proposes that environmental stimuli influence an internal organism, which then produces a response. Marketing stimuli may include price, product design, messages and channel experience. The organism includes interpretation, emotion, motivation and prior learning. Responses include clicking, enquiring, purchasing, using, reviewing or abandoning.

The framework is valuable because it prevents simplistic assumptions that an advertisement directly causes a purchase. The same stimulus can produce different responses because customers possess different experiences, goals and levels of involvement.

2.2 The Theory of Planned Behavior

The Theory of Planned Behavior explains intention through three principal influences:

• attitude toward the behaviour: whether the person evaluates it favourably;
• subjective norm: perceived expectations of important others; and
• perceived behavioural control: the person’s belief that the behaviour is feasible.

A person may intend to adopt a budgeting application because it seems useful, friends approve and it appears easy to use. However, intention may not become adoption if registration is difficult or the person lacks access to a compatible device. The theory is particularly useful when designing interventions that require behavioural change, such as sustainable consumption or health-related adoption.

2.3 The consumer decision journey

The traditional buying-process model consists of:

1. need recognition;
2. information search;
3. evaluation of alternatives;
4. purchase decision; and
5. post-purchase evaluation.

The process is not always linear. Routine purchases may involve little search, while complex purchases may involve repeated movement between stages. Digital customers may discover a brand through a review, compare alternatives across platforms, seek peer validation, purchase through a mobile device and publicly evaluate the experience.

Post-purchase behaviour is strategically important. Satisfaction can produce retention, advocacy and referral. Dissatisfaction can produce complaints, returns, negative reviews and switching. Entrepreneurs should map the complete experience rather than optimise only the conversion event.

2.4 B2B buying behaviour and the buying centre

B2B purchases often involve a buying centre, even when only one person signs the contract. Typical roles include:

• initiator, who identifies a need;
• user, who experiences the operational consequences;
• influencer, who supplies expertise or evaluation criteria;
• buyer, who manages commercial negotiations;
• decider, who approves the choice;
• gatekeeper, who controls access to information or decision-makers; and
• economic approver, who authorises financial commitment.

One individual may occupy several roles, but assuming that the first contact is the only customer is a common entrepreneurial error. B2B value propositions should address both organisational outcomes and role-specific concerns. A chief financial officer may focus on risk and payback, while an end user may focus on usability and workflow integration.

3. Jobs-to-be-Done and Customer Problems

The jobs-to-be-done perspective asks what customers are trying to accomplish in a particular situation. A job is not simply a product category. Customers do not fundamentally want a drill; they want a hole, a completed installation or a reliable way to improve their environment. The framework directs attention from product features to progress and outcomes.

A useful job statement identifies:

• the customer or user;
• the situation or trigger;
• the desired progress;
• functional outcomes;
• emotional and social outcomes; and
• barriers or anxieties.

For example: “When independent consultants receive irregular income, they want to forecast cash availability quickly so that they can meet obligations without constant spreadsheet maintenance.”

The job may be functional, such as completing a task; emotional, such as feeling in control; or social, such as appearing professionally reliable. The same product may serve different jobs for different segments.

Jobs-to-be-done is not a substitute for market segmentation. It identifies the progress customers seek, whereas segmentation identifies groups with meaningful similarities in needs, behaviour or economics. The two approaches are strongest when combined.

Customer research for discovering jobs

Useful research methods include:

• semi-structured interviews focused on recent behaviour rather than hypothetical preference;
• observation and contextual inquiry;
• diary studies;
• analysis of support tickets, reviews and search queries;
• usability testing;
• win–loss interviews in B2B markets; and
• behavioural analysis of activation, retention and abandonment.

A strong interview asks, “Tell me about the last time this happened,” rather than, “Would you use a product that does this?” Recent episodes reveal triggers, alternatives, constraints and workarounds. Entrepreneurs should compare what customers say with what they do.

4. Personas and Ideal Customer Profiles

4.1 Evidence-based personas

A persona is a research-based representation of a meaningful customer pattern. It should summarise goals, context, behaviours, barriers, decision criteria and preferred channels. A persona is not a fictional biography created from imagination, nor should it be reduced to a name, stock photograph and age.

A useful persona contains:

Personas should influence product priorities, messages, onboarding and service design. They should not be used to stereotype people. A person’s age or occupation is usually less useful than a validated need, trigger or behaviour.

4.2 B2B ideal customer profiles

An ideal customer profile (ICP) describes the type of organisation most likely to obtain substantial value from an offering and to be commercially viable to serve. It is not the same as a buyer persona. The ICP describes the account; personas describe the people involved in the account’s decision and use processes.

An ICP may include:

• industry and business model;
• organisation size and geographic footprint;
• technology environment;
• growth stage;
• regulatory or operational conditions;
• problem severity and urgency;
• budget availability;
• decision-process complexity;
• implementation capability; and
• expected retention and expansion potential.

For example, an early-stage software firm may be a stronger ICP for an automated compliance tool than a large bank if the software firm has urgent needs, a short approval process and a compatible technology stack. Conversely, the bank may have greater revenue potential but higher procurement costs and longer sales cycles.

5. Market Segmentation

Market segmentation divides a broad market into groups whose members share relevant characteristics and are likely to respond similarly to a marketing programme. Segmentation is useful only when the variables explain differences in needs, behaviour, value or response.

5.1 Major segmentation bases

No basis is automatically superior. Demographic variables are easy to measure but may be weak predictors. Behavioural and need-based variables often provide stronger strategic insight, although they require better data and research.

5.2 Requirements for effective segmentation

A segment should be:

1. Measurable: its size, characteristics and response can be estimated.
2. Substantial: it is large or valuable enough to justify attention.
3. Accessible: the organisation can reach and serve it through feasible channels.
4. Differentiable: it responds differently from other segments to a marketing action.
5. Actionable: the firm can design a practical offering and programme for it.
6. Stable enough: it is not so transient that planning becomes meaningless.

These requirements should be treated as managerial tests, not rigid laws. A small niche may be attractive for a premium specialist firm, while a large segment may be unattractive because competition and acquisition costs are excessive.

5.3 Behavioural and value-based segmentation

Behavioural segmentation can classify customers by recency, frequency and monetary value. A commonly used descriptive framework is RFM:

• recency: how recently a customer purchased;
• frequency: how often the customer purchased during a defined period; and
• monetary value: how much the customer spent during that period.

RFM scores are useful for campaign prioritisation, but they do not explain motivation or future potential. A new customer may have low frequency but high strategic value. Scores should therefore be combined with margins, service cost, predicted retention and qualitative insight.

6. Selecting Target Markets

Targeting is the process of evaluating segments and choosing one or more for focused marketing. Common strategies include:

• undifferentiated targeting, using one broad offer;
• differentiated targeting, using distinct offers for multiple segments;
• concentrated or niche targeting, focusing resources on one segment; and
• micromarketing, adapting offers to local, individual or account-level conditions.

Entrepreneurial firms often begin with a beachhead segment: a focused group with a severe problem, reachable decision-makers and potential for learning, references and expansion.

6.1 Segment attractiveness and strategic fit

Evaluation should consider both market attractiveness and the firm’s ability to win. Relevant criteria include:

• problem intensity and urgency;
• segment growth and future potential;
• willingness and ability to pay;
• competitive intensity;
• acquisition and service costs;
• accessibility and channel economics;
• fit with capabilities and brand;
• regulatory and reputational risk; and
• potential for retention, referral or expansion.

A weighted scoring model can support discussion:

Here, S_j is the total score for segment j, w_i is the weight assigned to criterion i, and r_ij is the rating of segment j on criterion i. Ratings must use a defined scale, such as 1 to 5. Weights are non-negative and sum to 1. The model assumes criteria are sufficiently distinct and that a weighted additive comparison is useful; it does not prove that the highest-scoring segment will succeed.

Illustrative example. Suppose a venture evaluates two segments using the following weights: problem urgency 0.35, accessibility 0.25, willingness to pay 0.25 and strategic fit 0.15. Segment A receives ratings of 5, 3, 4 and 4. Its score is:

Segment B receives ratings of 4, 5, 3 and 5:

Segment B ranks slightly higher, but the difference is small. Management should test whether the ratings are reliable rather than treating 4.10 as a precise measurement.

6.2 Targeting and unit economics

A segment can appear attractive in revenue terms but be unprofitable after acquisition and service costs. A simple contribution view is:

The calculation depends on a clearly defined period and should include only costs that vary with the customer or campaign decision. Fixed overhead should not be silently mixed into a short-run contribution measure. In subscription businesses, retention and expansion assumptions are particularly important, and estimates should be tested through cohorts rather than accepted as guaranteed lifetime value.

7. Positioning After Targeting

Segmentation and targeting lead to positioning: the deliberate design of a distinctive and credible place in the target customer’s mind. A positioning statement commonly specifies:

For [target customer] who [need or situation], [offering] is a [category or frame of reference] that [primary benefit], because [reason to believe].

A sound position is relevant, differentiated, credible and defensible. It should connect the job customers need done with evidence that the firm can deliver the promised outcome. Positioning is not merely a slogan; it must be supported by product performance, pricing, distribution and service experience.

8. Applied Case: FarmLink’s Initial Market Choice

This is a fictional illustrative case.

Background

FarmLink is a start-up developing a mobile service that helps small agricultural producers compare local input prices, coordinate group purchases and receive delivery updates. The founders initially described their market as “all farmers in the country.” Their advertising reached many people but generated few completed registrations.

Problem

Interviews revealed that the market contained several distinct situations. Some producers were highly price-sensitive but had limited connectivity. Others operated commercial farms, had reliable smartphones and urgently needed predictable delivery. Agricultural cooperatives also wanted procurement visibility but required multiple approvals.

Analysis

The founders conducted 24 contextual interviews, reviewed abandoned registrations and observed purchasing at three local markets. They identified three provisional segments:

The team created a persona for a commercial smallholder and an ICP for cooperatives. It learned that commercial smallholders did not primarily seek a sophisticated marketplace; they wanted confidence that the correct quantity would arrive before a planting deadline.

Approach and solution

FarmLink selected commercial smallholders as its initial beachhead. It simplified onboarding, added delivery guarantees, used local-language demonstrations and partnered with agricultural advisers. It postponed a complex cooperative dashboard until it had validated transaction volume and delivery performance.

The company measured registration-to-first-order conversion, repeat ordering, delivery reliability and referral activity. It did not use registration volume alone as its success measure.

Outcome

The focused offer produced fewer initial leads but a higher proportion of completed first orders. Customer conversations also revealed that reliability, not the lowest nominal price, was the strongest differentiator. The evidence supported a later cooperative product, now informed by actual transaction and workflow data.

Learning points

1. A broad market description concealed distinct jobs and constraints.
2. The most numerous segment was not automatically the best first target.
3. Contextual research exposed the difference between stated price interest and the deeper need for reliable fulfilment.
4. A beachhead segment can generate learning and references for later expansion.
5. Metrics should reflect customer value and business viability, not only awareness or registrations.

9. Digital Data, AI and Ethical Governance

Digital platforms make it possible to observe searches, clicks, browsing paths, purchases, location signals and engagement patterns. These data can improve relevance, but they also create risks.

Entrepreneurs should apply purpose limitation, data minimisation, security, access controls and appropriate consent. They should comply with applicable privacy and consumer-protection laws, which vary by jurisdiction. Sensitive characteristics should not be used to discriminate unlawfully or to exploit vulnerability. Personalisation should not conceal material terms, manipulate customers into unwanted choices or create unfair price differences without legitimate justification.

AI can support clustering, propensity modelling, recommendation and persona synthesis. However, models may reproduce historical bias, infer sensitive traits, overfit small samples or make opaque decisions. Teams should document data sources, validate performance across groups, provide human review for consequential decisions and monitor drift. A model that predicts response is not necessarily a model that explains need or establishes causation.

Behavioural design should respect autonomy. Scarcity messages, defaults, reminders and social proof can be legitimate aids, but dark patterns—such as hidden cancellation routes, confusing consent or forced continuity—undermine trust and may breach regulation. Ethical targeting is therefore not only a compliance task; it is a source of long-term relationship value.

10. Challenges and Best Practices

Common challenges

• treating demographics as explanations rather than descriptive indicators;
• relying on stated preferences instead of observed behaviour;
• creating too many small segments to serve economically;
• confusing a persona with a target market;
• ignoring non-users, rejected alternatives and switching barriers;
• assuming that digital reach equals accessibility;
• using historical data that reflects past exclusion;
• failing to distinguish user, buyer, decider and economic approver in B2B markets; and
• selecting a segment before testing the underlying problem.

Best-practice principles

1. Start with a problem, trigger or job rather than a product feature.
2. Combine qualitative discovery with quantitative validation.
3. Study recent episodes and actual alternatives.
4. Segment on variables that predict meaningful differences in need or response.
5. Make assumptions explicit and identify the evidence behind each one.
6. Evaluate attractiveness together with the firm’s ability to serve.
7. Test a focused target market before expanding.
8. Connect targeting to product, channel, pricing and service decisions.
9. Review segments as markets, technologies and customer jobs change.
10. Use customer data transparently and protect dignity, autonomy and privacy.

Chapter Summary

Customer behaviour includes the cognitive, emotional, social and situational processes through which customers recognise needs, evaluate alternatives, purchase, use and assess offerings. Motivation, perception, learning, attitudes and perceived control help explain why the same marketing stimulus produces different outcomes for different people.

The buying-process model provides a useful map from need recognition through post-purchase evaluation, while the buying-centre concept explains the multiple roles present in organisational purchasing. Jobs-to-be-done focuses attention on the progress customers seek in a particular context. Personas represent evidence-based patterns of individual or user behaviour; ideal customer profiles describe attractive organisational accounts and should be complemented by B2B buyer personas.

Segmentation may use geographic, demographic, psychographic, behavioural, situational, need-based or firmographic criteria. Effective segments are measurable, substantial, accessible, differentiable and actionable. Targeting requires comparison of problem intensity, willingness to pay, competition, acquisition cost, capabilities, risk and growth potential. Weighted scoring can structure judgement, but it cannot replace research or experimentation.

Entrepreneurial firms benefit from selecting a focused beachhead segment, validating its job and economics, and expanding only when evidence supports doing so. Digital data and AI can improve relevance, but responsible practice requires privacy protection, bias monitoring, transparency, human oversight and respect for customer autonomy.

Key Terms

Customer behaviour: The study of how customers recognise needs, decide, use offerings and respond after purchase.

Need: A perceived deficiency or desired state.

Want: A culturally and personally shaped expression of a need.

Demand: A want supported by willingness and ability to obtain an offering.

Motivation: An internal force directing behaviour toward a goal.

Perception: The process by which people select, interpret and remember information.

Attitude: A relatively enduring evaluation of an object, brand or behaviour.

Theory of Planned Behavior: A theory linking behaviour intention to attitude, subjective norm and perceived behavioural control.

Buying process: The stages of need recognition, search, evaluation, purchase and post-purchase evaluation.

Buying centre: The individuals and roles involved in a B2B purchasing decision.

Job-to-be-done: The progress a customer seeks in a particular situation.

Persona: An evidence-based representation of a meaningful customer pattern.

Ideal customer profile: A description of the organisational account most suitable and valuable for a B2B offering.

Market segmentation: Dividing a market into groups with relevant similarities.

Targeting: Evaluating segments and selecting those to serve.

Beachhead segment: A focused initial segment used to establish traction and learning.

Positioning: Designing a distinctive and credible place for an offering in the target customer’s mind.

RFM analysis: Segmentation using recency, frequency and monetary value of purchase.

Weighted scoring model: A structured comparison that multiplies criterion weights by segment ratings.

Dark pattern: A design practice that manipulates users into choices they might not otherwise make.

Review Questions

Short Answer Questions

1. Distinguish a need, a want and demand.
2. What are the three principal influences in the Theory of Planned Behavior?
3. Define a job-to-be-done and give one example.
4. State five requirements of an effective market segment.
5. Explain the difference between an ICP and a B2B buyer persona.

Long Answer Questions

1. Explain the consumer buying-process model and discuss why the process may not be linear in digital markets.
2. Compare demographic, psychographic, behavioural and need-based segmentation.
3. Explain how motivation, perception and learning influence customer responses to marketing stimuli.
4. Discuss how an entrepreneurial firm should evaluate a beachhead segment.
5. Analyse the ethical risks and governance requirements associated with AI-enabled behavioural targeting.

Analytical / Application Questions

1. A start-up sells a subscription service to independent professionals. Develop two provisional segments, identify the job-to-be-done for each and recommend one segment for initial targeting. Justify the recommendation.
2. Construct a B2B ICP for a cloud-based compliance platform. Identify at least four firmographic or operational criteria and three buying-centre roles that must be addressed.
3. Using the weighted scoring formula in this chapter, design criteria and weights for comparing two possible target segments. Explain the assumptions behind your ratings and identify what evidence would be needed before making a final decision.

Multiple Choice Questions with Answers

Question 1

Which statement best distinguishes a job-to-be-done from a product category?

A. A job-to-be-done describes the progress a customer seeks in a situation.

B. A job-to-be-done is always a demographic description.

C. A job-to-be-done is the technical specification of a product.

D. A job-to-be-done is the firm’s internal sales target.

Correct Answer: A. A job-to-be-done describes the progress a customer seeks in a situation.

Question 2

Which role in a B2B buying centre controls access to information or decision-makers?

A. User

B. Gatekeeper

C. Initiator

D. Economic approver

Correct Answer: B. Gatekeeper

Question 3

Which of the following is a requirement of effective market segmentation?

A. Every segment must be based on age.

B. Every segment must be global.

C. Segments must be differentiable in their response.

D. Segments must contain exactly the same number of customers.

Correct Answer: C. Segments must be differentiable in their response.

Question 4

What does recency measure in RFM analysis?

A. How recently a customer purchased

B. How frequently a customer purchased

C. How much revenue a customer generated

D. How long a customer has used a product

Correct Answer: A. How recently a customer purchased

Question 5

A customer’s evaluation of whether an action is feasible is most closely related to which Theory of Planned Behavior construct?

A. Subjective norm

B. Perceived behavioural control

C. Affective attitude

D. Market attractiveness

Correct Answer: B. Perceived behavioural control

Question 6

A segment receives ratings of 4 and 5 on two criteria with weights 0.6 and 0.4. What is its weighted score?

A. 4.0

B. 4.2

C. 4.4

D. 4.6

Correct Answer: C. 4.4

Question 7

Which statement best describes an ideal customer profile?

A. A fictional biography of an individual consumer

B. A description of an organisational account likely to gain value and be viable to serve

C. A list of all possible competitors

D. A legal contract with a customer

Correct Answer: B. A description of an organisational account likely to gain value and be viable to serve

Question 8

Why should entrepreneurs study post-purchase behaviour?

A. It determines only the original advertising budget.

B. It reveals retention, advocacy, complaints and switching outcomes.

C. It eliminates the need for market research.

D. It applies only to B2B markets.

Correct Answer: B. It reveals retention, advocacy, complaints and switching outcomes.

Question 9

Which practice is most consistent with responsible AI-enabled targeting?

A. Using inferred sensitive traits without review

B. Hiding the basis of consequential decisions

C. Documenting data sources and monitoring bias across groups

D. Optimising solely for clicks regardless of harm

Correct Answer: C. Documenting data sources and monitoring bias across groups

Question 10

What is a beachhead segment?

A. The largest possible market defined without qualification

B. A focused initial segment selected for traction and learning

C. A segment that cannot be reached through available channels

D. A segment selected only because it has the lowest price sensitivity

Correct Answer: B. A focused initial segment selected for traction and learning