How to build a consumer behavior course: a complete guide for lecturers

Central question: How should lecturers move students from everyday intuition about consumers to evidence-based behavioral explanation?

Teach this concept as a decision tool rather than a vocabulary list. Give students enough evidence to make a claim, but leave room for a competing explanation so that the seminar focuses on inference, not recall.

What this concept covers

• Scope of consumer behavior across acquisition, use and disposal.
• Individual, social, cultural and situational levels of explanation.
• Descriptive, correlational and causal evidence.
• Qualitative, survey, observational and experimental evidence.
• Ethics, representativeness and the limits of consumer data.

Learning outcomes

By the end of this concept, students should be able to:

• Explain the scope and levels of consumer behavior analysis.
• Distinguish observation, association and causal inference.
• Evaluate the fitness of evidence for a consumer claim.

Supports Course Outcomes 1 and 2.

How to teach it

• Open with a concrete consumer decision or piece of evidence before giving the formal model.
• Ask groups to state one favored explanation and one plausible alternative explanation.
• Require a small output - calculation, evidence table, journey map, memo or experimental prediction - that can feed the later assessment.
• Debrief by asking what evidence would make the group change its mind.

Case-style example

BrightBite Snacks sees repeat purchase fall from 42% to 31% after a package redesign. A survey of 600 customers reports lower shelf recognition, while a 40-store comparison also shows a price rise in half the stores. Students must write a research brief naming the focal behavioral explanation, the confound, the next evidence to collect and the decision that evidence could support. One group may recommend restoring visual cues; another may argue price must be isolated first. Students discover that a plausible story is not yet a causal explanation.

Where students struggle

Students often treat a consumer anecdote, a correlation or a persona as proof. Require them to label what the evidence can establish and what remains inference.

Reading and a quick check

Assign the corresponding textbook chapter plus one recent paper or short empirical example. Close with a two-minute check: name the mechanism, state the strongest evidence for it, and identify one finding that would weaken the explanation.

Applied teaching option

Use a short case, evidence critique or mini-experiment rather than adding an activity simply for variety. The aim is to make the behavioral mechanism observable and contestable.

Where it leads

Perception and attention become the first mechanisms students can test rather than merely describe.

Central question: What determines whether a consumer notices a cue and what meaning they construct from it?

Teach this concept as a decision tool rather than a vocabulary list. Give students enough evidence to make a claim, but leave room for a competing explanation so that the seminar focuses on inference, not recall.

What this concept covers

• Selective attention and perceptual filters.
• Sensory cues, salience, contrast and context.
• Perceptual organisation and categorisation.
• Brand signals, packaging and choice architecture.
• Accessibility and ethical limits of attention capture.

Learning outcomes

By the end of this concept, students should be able to:

• Analyse how attention and perception shape marketplace response.
• Diagnose competing interpretations of the same cue.
• Design a testable change to a consumer touchpoint.

Supports Course Outcomes 1 and 2.

How to teach it

• Open with a concrete consumer decision or piece of evidence before giving the formal model.
• Ask groups to state one favored explanation and one plausible alternative explanation.
• Require a small output - calculation, evidence table, journey map, memo or experimental prediction - that can feed the later assessment.
• Debrief by asking what evidence would make the group change its mind.

Case-style example

Luma Laundry tests two detergent packs across 240 simulated shelf choices. Pack A is recognised by 68% of shoppers but only 37% describe it as environmentally friendly. Pack B is recognised by 51%, while 62% infer sustainability from muted colours and refill imagery. Students compute the recognition and meaning gaps, then recommend a pack for a mass retailer and a specialist eco-store. The defensible disagreement is reach versus meaning. Students discover that being noticed and being interpreted as intended are separate problems.

Where students struggle

Students conflate exposure with attention and attention with comprehension. Make them trace the sequence from stimulus to noticed cue to inferred meaning.

Reading and a quick check

Assign the corresponding textbook chapter plus one recent paper or short empirical example. Close with a two-minute check: name the mechanism, state the strongest evidence for it, and identify one finding that would weaken the explanation.

Applied teaching option

Use a short case, evidence critique or mini-experiment rather than adding an activity simply for variety. The aim is to make the behavioral mechanism observable and contestable.

Where it leads

The next step is what consumers retain, retrieve and learn from repeated exposure.

Central question: How do experiences and communications become knowledge that later guides choice?

Teach this concept as a decision tool rather than a vocabulary list. Give students enough evidence to make a claim, but leave room for a competing explanation so that the seminar focuses on inference, not recall.

What this concept covers

• Associative and cognitive learning.
• Reinforcement, repetition and feedback.
• Encoding, storage, retrieval and forgetting.
• Schemas, scripts and category knowledge.
• Brand memory structures and distinctive retrieval cues.

Learning outcomes

By the end of this concept, students should be able to:

• Compare learning mechanisms in a marketing context.
• Evaluate whether a communication is likely to be encoded and retrieved.
• Design a simple memory or learning test.

Supports Course Outcomes 2 and 3.

How to teach it

• Open with a concrete consumer decision or piece of evidence before giving the formal model.
• Ask groups to state one favored explanation and one plausible alternative explanation.
• Require a small output - calculation, evidence table, journey map, memo or experimental prediction - that can feed the later assessment.
• Debrief by asking what evidence would make the group change its mind.

Case-style example

Northline Coffee runs three exposures to two digital ads among 300 participants. Ad A produces 74% immediate recognition and 39% unaided recall after 48 hours. Ad B produces 58% immediate recognition and 52% unaided recall after 48 hours. Students calculate decay for both, identify possible retrieval cues and choose which ad to retain for a launch where delayed brand recall matters. A performance team may still prefer A for immediate clicks. Students discover that strong recognition at exposure does not guarantee durable retrievability.

Where students struggle

Students memorise definitions of conditioning and memory without connecting them to observable outcomes. Ask what should change in behavior if the proposed learning mechanism is actually operating.

Reading and a quick check

Assign the corresponding textbook chapter plus one recent paper or short empirical example. Close with a two-minute check: name the mechanism, state the strongest evidence for it, and identify one finding that would weaken the explanation.

Applied teaching option

Use a short case, evidence critique or mini-experiment rather than adding an activity simply for variety. The aim is to make the behavioral mechanism observable and contestable.

Where it leads

Memory gives students a bridge into goals, affect and the reasons certain outcomes matter.

Central question: What energises consumer action, and how do goals and feelings reshape what people seek or avoid?

Teach this concept as a decision tool rather than a vocabulary list. Give students enough evidence to make a claim, but leave room for a competing explanation so that the seminar focuses on inference, not recall.

What this concept covers

• Needs, goals and goal conflict.
• Approach and avoidance motivation.
• Intrinsic and extrinsic motives.
• Emotion, affect and anticipated feelings.
• Involvement, risk and regulatory orientation.

Learning outcomes

By the end of this concept, students should be able to:

• Diagnose the likely goal structure behind a consumer behavior.
• Evaluate emotional and functional drivers together.
• Recommend a message or offer aligned with a stated goal.

Supports Course Outcomes 3 and 4.

How to teach it

• Open with a concrete consumer decision or piece of evidence before giving the formal model.
• Ask groups to state one favored explanation and one plausible alternative explanation.
• Require a small output - calculation, evidence table, journey map, memo or experimental prediction - that can feed the later assessment.
• Debrief by asking what evidence would make the group change its mind.

Case-style example

PulseFit offers a fitness app at £9.99 per month. In interviews with 80 prospects, 46 prioritise visible progress, 29 cite social accountability and 24 fear feeling judged at gyms; respondents can mention more than one motive. Students build a motive map, then choose between a performance-led and reassurance-led onboarding message. One route may maximise aspiration while the other reduces avoidance. Students discover that the same purchase can contain approach and avoidance goals that require different design choices.

Where students struggle

Students reach too quickly for generic hierarchies of needs. Require evidence for the active goal in the specific situation and allow multiple motives to coexist.

Reading and a quick check

Assign the corresponding textbook chapter plus one recent paper or short empirical example. Close with a two-minute check: name the mechanism, state the strongest evidence for it, and identify one finding that would weaken the explanation.

Applied teaching option

Use a short case, evidence critique or mini-experiment rather than adding an activity simply for variety. The aim is to make the behavioral mechanism observable and contestable.

Where it leads

Motives become more interpretable when linked to identity, values and lifestyles.

Central question: How does consumption help people express, protect or negotiate who they are?

Teach this concept as a decision tool rather than a vocabulary list. Give students enough evidence to make a claim, but leave room for a competing explanation so that the seminar focuses on inference, not recall.

What this concept covers

• Actual, ideal and social self.
• Identity projects and symbolic consumption.
• Personality as a probabilistic, not deterministic, predictor.
• Values, lifestyles and psychographic segmentation.
• Status, authenticity and identity threat.

Learning outcomes

By the end of this concept, students should be able to:

• Analyse identity-relevant consumption without stereotyping.
• Evaluate the usefulness and limits of psychographics.
• Connect a value proposition to evidence about consumer identity.

Supports Course Outcomes 4 and 5.

How to teach it

• Open with a concrete consumer decision or piece of evidence before giving the formal model.
• Ask groups to state one favored explanation and one plausible alternative explanation.
• Require a small output - calculation, evidence table, journey map, memo or experimental prediction - that can feed the later assessment.
• Debrief by asking what evidence would make the group change its mind.

Case-style example

Harbor Cycles surveys 500 urban commuters. Forty percent score high on status signalling, 55% on environmental values and 48% on convenience orientation, with substantial overlap. A premium e-bike concept wins 62% preference among high-status respondents but only 43% among those high on environmental values alone. Students create two defensible identity-based propositions and explain why the same product cue may attract one segment while threatening authenticity for another. Students discover why psychographics should guide hypotheses rather than become fixed personality boxes.

Where students struggle

Students turn values or lifestyle labels into stereotypes. Require observable evidence, overlaps between segments and a statement of uncertainty.

Reading and a quick check

Assign the corresponding textbook chapter plus one recent paper or short empirical example. Close with a two-minute check: name the mechanism, state the strongest evidence for it, and identify one finding that would weaken the explanation.

Applied teaching option

Use a short case, evidence critique or mini-experiment rather than adding an activity simply for variety. The aim is to make the behavioral mechanism observable and contestable.

Where it leads

Identity and values set up the beliefs, evaluations and persuasive interventions examined in attitudes.

Central question: When do attitudes predict behavior, and how can communication change beliefs, evaluations or action?

Teach this concept as a decision tool rather than a vocabulary list. Give students enough evidence to make a claim, but leave room for a competing explanation so that the seminar focuses on inference, not recall.

What this concept covers

• Attitude components and accessibility.
• Elaboration, involvement and source effects.
• Message framing and evidence.
• Intention-behavior gaps.
• Behavioral nudges, friction and ethical persuasion.

Learning outcomes

By the end of this concept, students should be able to:

• Diagnose why a favorable attitude may fail to produce action.
• Compare persuasion routes for different levels of involvement.
• Design and defend a behavior-change intervention.

Supports Course Outcomes 5 and 6.

How to teach it

• Open with a concrete consumer decision or piece of evidence before giving the formal model.
• Ask groups to state one favored explanation and one plausible alternative explanation.
• Require a small output - calculation, evidence table, journey map, memo or experimental prediction - that can feed the later assessment.
• Debrief by asking what evidence would make the group change its mind.

Case-style example

ClearDrop Water has 78% favorable attitudes toward refill stations, but only 26% of 1,000 surveyed office workers used one in the past month. A pilot places bottles beside the station and lifts use to 41%; a sustainability-message pilot lifts use to 30%. Students compute the changes, identify friction as one explanation and recommend whether to scale convenience, persuasion or both. A communications team may still argue the message builds long-term norms. Students discover that attitude change and behavior change are not synonymous.

Where students struggle

Students assume a positive attitude predicts purchase. Force them to identify ability, opportunity, habit, social pressure and friction between evaluation and action.

Reading and a quick check

Assign the corresponding textbook chapter plus one recent paper or short empirical example. Close with a two-minute check: name the mechanism, state the strongest evidence for it, and identify one finding that would weaken the explanation.

Applied teaching option

Use a short case, evidence critique or mini-experiment rather than adding an activity simply for variety. The aim is to make the behavioral mechanism observable and contestable.

Where it leads

Attitudes become more realistic once peers, groups and networks enter the decision.

Central question: How do other people shape what consumers notice, prefer, trust and choose?

Teach this concept as a decision tool rather than a vocabulary list. Give students enough evidence to make a claim, but leave room for a competing explanation so that the seminar focuses on inference, not recall.

What this concept covers

• Normative and informational influence.
• Reference groups, aspirational groups and social identity.
• Word of mouth, reviews and social proof.
• Influencers, communities and network effects.
• Conformity, resistance and source credibility.

Learning outcomes

By the end of this concept, students should be able to:

• Distinguish normative from informational influence.
• Evaluate the credibility and relevance of social evidence.
• Recommend a social-influence intervention with safeguards.

Supports Course Outcomes 6 and 7.

How to teach it

• Open with a concrete consumer decision or piece of evidence before giving the formal model.
• Ask groups to state one favored explanation and one plausible alternative explanation.
• Require a small output - calculation, evidence table, journey map, memo or experimental prediction - that can feed the later assessment.
• Debrief by asking what evidence would make the group change its mind.

Case-style example

MiraSkin tests two creator campaigns with 20,000 impressions each. Creator A has 7% engagement and 1.8% conversion; Creator B has 4% engagement and 2.6% conversion. Reviews show A drives aspirational comments while B prompts detailed ingredient questions. Students calculate conversions, classify the likely influence mechanisms and choose a creator for awareness versus sales. Two conclusions can be defensible because the objective differs. Students discover that visible social engagement is not the same as diagnostic influence on purchase.

Where students struggle

Students call every peer effect social proof. Ask who is influencing whom, through which mechanism, and for what decision.

Reading and a quick check

Assign the corresponding textbook chapter plus one recent paper or short empirical example. Close with a two-minute check: name the mechanism, state the strongest evidence for it, and identify one finding that would weaken the explanation.

Applied teaching option

Use a short case, evidence critique or mini-experiment rather than adding an activity simply for variety. The aim is to make the behavioral mechanism observable and contestable.

Where it leads

Reference groups operate inside broader cultural, class and situational contexts.

Central question: How does context change the meaning, feasibility and acceptability of consumer choices?

Teach this concept as a decision tool rather than a vocabulary list. Give students enough evidence to make a claim, but leave room for a competing explanation so that the seminar focuses on inference, not recall.

What this concept covers

• Culture as shared meanings and practices.
• Subcultures, microcultures and communities.
• Social class, status and access.
• Physical, temporal and usage situations.
• Cross-market differences, institutions and macro context.

Learning outcomes

By the end of this concept, students should be able to:

• Analyse context without reducing countries or groups to stereotypes.
• Connect macro conditions to specific consumer mechanisms.
• Identify which contextual assumptions must be tested before market entry.

Supports Course Outcomes 7 and 8.

How to teach it

• Open with a concrete consumer decision or piece of evidence before giving the formal model.
• Ask groups to state one favored explanation and one plausible alternative explanation.
• Require a small output - calculation, evidence table, journey map, memo or experimental prediction - that can feed the later assessment.
• Debrief by asking what evidence would make the group change its mind.

Case-style example

NoriHome is considering a smart-kitchen launch in two markets. Market A has 82% smartphone penetration, high energy prices and strict data-consent rules; Market B has 65% smartphone penetration, lower energy prices and stronger retailer trust. A 400-person concept test shows equal stated interest at 54%. Students must identify which contextual variables could still produce different adoption and design a market-entry research plan. One group may prioritise privacy trust; another may prioritise channel access. Students discover why equal stated interest does not imply equal market behavior.

Where students struggle

Students describe national culture as a fixed trait or list PESTLE factors without tracing them to a consumer mechanism.

Reading and a quick check

Assign the corresponding textbook chapter plus one recent paper or short empirical example. Close with a two-minute check: name the mechanism, state the strongest evidence for it, and identify one finding that would weaken the explanation.

Where a simulation fits

PESTLE Analysis: Use the PESTLE Analysis Simulation after students can connect macro conditions to consumer mechanisms. Opposing Growth Strategy and Risk Management teams score, weight and defend the same six external factors before agreeing a market-entry view.

Where it leads

This prepares students to analyse search, evaluation and choice under real constraints.

Central question: How do consumers move from a need to a choice when information, time and attention are limited?

Teach this concept as a decision tool rather than a vocabulary list. Give students enough evidence to make a claim, but leave room for a competing explanation so that the seminar focuses on inference, not recall.

What this concept covers

• Need recognition and problem framing.
• Internal and external search.
• Consideration sets and choice criteria.
• Heuristics, biases and bounded rationality.
• High versus low involvement and post-choice confidence.

Learning outcomes

By the end of this concept, students should be able to:

• Map a decision process for a specific category.
• Identify heuristics and biases without assuming irrationality.
• Evaluate how changing choice architecture may alter outcomes.

Supports Course Outcomes 8 and 9.

How to teach it

• Open with a concrete consumer decision or piece of evidence before giving the formal model.
• Ask groups to state one favored explanation and one plausible alternative explanation.
• Require a small output - calculation, evidence table, journey map, memo or experimental prediction - that can feed the later assessment.
• Debrief by asking what evidence would make the group change its mind.

Case-style example

Orbit Mobile offers four handset plans. Plan A costs £28 with 20GB, B £34 with 100GB, C £39 with unlimited data and D £42 with unlimited data plus insurance. In a 320-person test, adding D raises C choice from 31% to 46%. Students compute the shift, test a decoy-style explanation and identify alternative explanations such as insurance salience or changed reference price. They then redesign the comparison screen. Students discover that context can change preference without proving a single psychological mechanism.

Where students struggle

Students label every surprising choice a bias. Require a baseline, an alternative explanation and a clear prediction before accepting the mechanism.

Reading and a quick check

Assign the corresponding textbook chapter plus one recent paper or short empirical example. Close with a two-minute check: name the mechanism, state the strongest evidence for it, and identify one finding that would weaken the explanation.

Applied teaching option

Use a short case, evidence critique or mini-experiment rather than adding an activity simply for variety. The aim is to make the behavioral mechanism observable and contestable.

Where it leads

Decision models become actionable when students turn heterogeneous behavior into segmentation and positioning choices.

Central question: How can behavioral evidence be converted into a defensible decision about whom to serve and how to position an offer?

Teach this concept as a decision tool rather than a vocabulary list. Give students enough evidence to make a claim, but leave room for a competing explanation so that the seminar focuses on inference, not recall.

What this concept covers

• Behavioral, demographic, psychographic and needs-based segmentation.
• Segment attractiveness, accessibility and evidence quality.
• Target selection and strategic focus.
• Positioning, frame of reference and point of difference.
• Coherence across consumer insight, channel, price, pack and message.

Learning outcomes

By the end of this concept, students should be able to:

• Build and critique a behaviorally meaningful segmentation.
• Select a target using consumer and commercial evidence.
• Defend a positioning choice as a coherent response to the target.

Supports Course Outcomes 9 and 10.

How to teach it

• Open with a concrete consumer decision or piece of evidence before giving the formal model.
• Ask groups to state one favored explanation and one plausible alternative explanation.
• Require a small output - calculation, evidence table, journey map, memo or experimental prediction - that can feed the later assessment.
• Debrief by asking what evidence would make the group change its mind.

Case-style example

ForgeFuel is preparing a protein-bar launch. Four segments range from 1.2 to 4.8 million consumers, annual growth from 3% to 11%, price tolerance from $2.20 to $3.80 and repeat intent from 28% to 56%. Students compute a simple attractiveness index using lecturer-specified weights, then challenge the result with qualitative evidence about motivations and channel access. One team may choose the largest segment; another may choose a smaller high-repeat segment. Students discover why a segmentation score is an input to judgement, not a substitute for it.

Where students struggle

Students create descriptive personas and call them segments. Make them specify the variable that divides the market, the evidence that makes groups meaningfully different and the decision the segmentation changes.

Reading and a quick check

Assign the corresponding textbook chapter plus one recent paper or short empirical example. Close with a two-minute check: name the mechanism, state the strongest evidence for it, and identify one finding that would weaken the explanation.

Where a simulation fits

Go To Market: Use the Go To Market Simulation after students know segmentation, targeting and positioning. Each student acts as the founder of a protein-bar company entering the US market and must turn customer evidence into one coherent STP and launch strategy.

Where it leads

The same target promise must then survive the whole customer journey and postpurchase experience.

Central question: What happens after choice, and how do experiences accumulate into satisfaction, repeat behavior and relationships?

Teach this concept as a decision tool rather than a vocabulary list. Give students enough evidence to make a claim, but leave room for a competing explanation so that the seminar focuses on inference, not recall.

What this concept covers

• Prepurchase, purchase and postpurchase touchpoints.
• Expectations, service encounters and moments of truth.
• Satisfaction, delight, complaint and recovery.
• Habit, switching costs, loyalty and relationship quality.
• Customer metrics as partial indicators rather than complete explanations.

Learning outcomes

By the end of this concept, students should be able to:

• Map a journey around a specific consumer goal.
• Diagnose the behavioral cause of a drop-off or complaint.
• Evaluate retention metrics alongside qualitative evidence.

Supports Course Outcomes 9 and 10.

How to teach it

• Open with a concrete consumer decision or piece of evidence before giving the formal model.
• Ask groups to state one favored explanation and one plausible alternative explanation.
• Require a small output - calculation, evidence table, journey map, memo or experimental prediction - that can feed the later assessment.
• Debrief by asking what evidence would make the group change its mind.

Case-style example

StayNest Hotels reports 84% check-in satisfaction but only 56% repeat-booking intention among 1,200 guests. Guests who contact service recovery after a problem show 69% repeat intention when resolved within 20 minutes and 44% when resolution takes longer. Students calculate the gaps, map the journey and decide whether to invest in check-in polish or recovery speed. One route protects the majority experience; the other targets a critical failure point. Students discover that average satisfaction can hide the episodes that shape future behavior.

Where students struggle

Students treat NPS, satisfaction or repeat purchase as interchangeable. Require them to state what each metric measures, its time horizon and plausible alternative causes.

Reading and a quick check

Assign the corresponding textbook chapter plus one recent paper or short empirical example. Close with a two-minute check: name the mechanism, state the strongest evidence for it, and identify one finding that would weaken the explanation.

Applied teaching option

Use a short case, evidence critique or mini-experiment rather than adding an activity simply for variety. The aim is to make the behavioral mechanism observable and contestable.

Where it leads

The final concept examines how digital systems and AI reshape every stage of this journey and create ethical trade-offs.

Central question: How should students judge consumer outcomes when digital personalisation, AI, privacy and sustainability create benefits and harms at the same time?

Teach this concept as a decision tool rather than a vocabulary list. Give students enough evidence to make a claim, but leave room for a competing explanation so that the seminar focuses on inference, not recall.

What this concept covers

• Digital choice environments and platform-mediated behavior.
• Personalisation, recommender systems and perceived control.
• AI-enabled data capture, classification, delegation and social interaction.
• Privacy, fairness, autonomy and dark-pattern risks.
• Sustainable consumption, well-being and behavior-change ethics.

Learning outcomes

By the end of this concept, students should be able to:

• Critically evaluate a digital consumer intervention.
• Balance personalisation benefits against control and privacy costs.
• Defend an ethical and sustainable recommendation using explicit criteria.

Supports Course Outcome 10.

How to teach it

• Open with a concrete consumer decision or piece of evidence before giving the formal model.
• Ask groups to state one favored explanation and one plausible alternative explanation.
• Require a small output - calculation, evidence table, journey map, memo or experimental prediction - that can feed the later assessment.
• Debrief by asking what evidence would make the group change its mind.

Case-style example

Threadly uses an AI recommender that raises click-through from 8.4% to 11.7% in a 50,000-user test but also increases privacy opt-outs from 3.1% to 5.9%. A transparent-data explanation reduces opt-outs to 4.2% while click-through settles at 10.9%. Students compute the trade-offs, recommend a design and specify what consumer-welfare evidence is still missing. Growth-oriented and trust-oriented conclusions can both be defended. Students discover why a higher conversion rate cannot by itself establish a better consumer outcome.

Where students struggle

Students separate ethics from the core decision or assume more personalisation is automatically better. Ask them to make welfare, autonomy and evidence criteria explicit before comparing options.

Reading and a quick check

Assign the corresponding textbook chapter plus one recent paper or short empirical example. Close with a two-minute check: name the mechanism, state the strongest evidence for it, and identify one finding that would weaken the explanation.

Where a simulation fits

SWOT Analysis: Use the SWOT Analysis Simulation as a late integrative activity. Business Development and Risk Management teams classify and prioritise internal and external evidence, challenge each other, and defend a strategic recommendation rather than treating SWOT as four unweighted lists.

Where it leads

This closes the course by integrating consumer evidence, strategic context, digital change and responsible judgement.

10-week course structure

A 10-session version should compress adjacent mechanisms rather than removing the consumer decision lifecycle. Combine perception with learning, identity with social influence, and integrate customer journey with digital ethics so students still move from evidence to explanation to market action.

14-week course structure

A 14-session version creates room for a stronger research-methods spine, separate culture and situation sessions, more simulation reflection and a fuller capstone. Use the extra time to deepen inference and defence rather than simply add more terminology.

Why it fits here

• Students already know decision-making, consumer evidence and the difference between a descriptive profile and a strategically useful segment.
• The simulation makes them choose one primary target, two launch regions and an access channel before positioning the offer.
• Because later decisions must reinforce the selected customer, the debrief can focus on strategic coherence rather than a single high-scoring choice.

What students do

• Review a defined product baseline and the US market-entry mission.
• Segment using customer motivations, buying behaviour, benefits sought and evidence quality.
• Compare segment economics, region fit, accessibility and competition, then select one primary target segment, two launch regions, a targeting approach, access channel and market-entry posture.
• Position the offer by choosing a theme, frame of reference, point of difference, value proposition, price, pack format and promotional message.
• Review the final score, rank and strategy summary alongside cohort patterns, then explain which evidence and trade-offs drove the route.

Recommended course placement

• At the end of Session 10 after STP teaching.
• Inside a single two-hour class with a short pre-read and a structured debrief.
• Before an individual strategy memo or oral defence so the platform outcome becomes evidence rather than the mark itself.

Knowledge students should have before the simulation

• Segmentation bases and evidence quality.
• Target attractiveness and accessibility.
• Positioning, frame of reference and point of difference.
• Basic interpretation of market size, growth, price tolerance, competition and repeat behavior.

Delivery format

Suggested debrief questions

• Which evidence most strongly justified your target segment?
• Where did commercial attractiveness conflict with consumer fit?
• Did your price, pack, message and channel tell one positioning story?
• What does your rank reveal, and what can it not reveal, about the quality of your reasoning?
• Which assumption would you test before spending real launch money?

Why it fits here

• Students have already studied social and cultural influence and can interpret external conditions through a consumer lens.
• A fixed 100-point weighting budget forces prioritisation: raising one factor means lowering another.
• Opposing Growth Strategy and Risk Management perspectives make evidence and materiality contestable.

What students do

• Assess political, economic, social, technological, legal and environmental evidence from the same market-entry case.
• Assign scores to all six factors and allocate weights that total 100%.
• Write a rationale explaining why each material factor matters.
• Compare Growth Strategy and Risk Management interpretations in paired Approval Committees.
• Negotiate a common assessment and commit to an enter, delay or do-not-enter recommendation, then reflect on the factors that actually changed the answer.

Recommended course placement

• At the end of Session 8 after culture, subculture, class and situational context.
• Inside a two-hour class or split across the two 60-minute stages.
• Before the decision-making session so students see that context shapes the problem consumers face, not just the firm strategy.

Knowledge students should have before the simulation

• Basic PESTLE categories.
• Cultural and social influence concepts.
• The distinction between a macro fact and a consumer mechanism.
• Ability to compare evidence and defend materiality.

Delivery format

Suggested debrief questions

• Which external factor changed the consumer behavior forecast most?
• Where did the two team mandates produce different interpretations of the same evidence?
• Which factor was important but not material enough to receive a high weight?
• How would you convert the PESTLE conclusion into a research question about consumer adoption?
• What new consumer evidence could reverse the recommendation?

The platform can provide submitted decisions, rationales and comparative outcomes where the relevant simulation supports them. That evidence supports academic judgement; it does not replace it. Use an individual written or oral component when you need attributable evidence, and moderate group marks where free-riding or contribution differences are material.

Grading with the Go To Market Simulation

The Go To Market Simulation asks each student to act as a founder entering the US protein-bar market and make a connected set of segmentation, targeting, region, channel, positioning, pricing, packaging and promotional decisions. The score and rank are useful context, but lecturers should assess the quality of the consumer reasoning and strategic coherence rather than convert leaderboard position directly into a grade.

• Quality of the segmentation basis and use of customer evidence.
• Target attractiveness and accessibility logic.
• Coherence between target, region, channel, price, pack, message and point of difference.
• Written reasons and acknowledgement of evidence limitations.
• Individual post-simulation memo or oral defence explaining why the route is defensible.

Grading with the PESTLE Analysis Simulation

The PESTLE Analysis Simulation requires Growth Strategy and Risk Management teams to score and weight the same external evidence, justify the six factors and negotiate a recommendation. For a Consumer Behavior course, mark how well students trace each external factor to a plausible consumer consequence rather than rewarding the number of factors mentioned.

• Evidence-backed factor scoring and the rationale for 100-point weights.
• Translation from macro context to affordability, trust, norms, access, technology adoption or sustainability expectations.
• Quality of challenge and willingness to revise weak assumptions.
• Negotiated recommendation and materiality judgement.
• Individual reflection or viva when marks need to be attributable.

Grading with the SWOT Analysis Simulation

The SWOT Analysis Simulation is best used as a late integrative activity. Business Development and Risk Management teams analyse internal organisational evidence and external conditions, classify and prioritise strengths, weaknesses, opportunities and threats, challenge each other and defend a recommendation. The consumer-behavior contribution is the quality of the evidence that links customer mechanisms to the strategic factors.

• Accuracy of internal versus external classification.
• Prioritisation rather than unweighted listing.
• Quality of the consumer evidence behind an opportunity, threat, strength or weakness.
• Strategic recommendation and response to challenge.
• Individual memo or oral defence to separate personal judgement from group output.