Specialist Option 2: Consumer Psychology A2
- Syllabus
- 9990–2028–2029
- Section
- —
- Level
- A2
Consumer Psychology A2 overview and key studies
- Syllabus
- 9990–2028–2029
- Topic
- —
- Level
- A2
Consumer psychology traces how retail cues become perceptions, choices and behaviour
Consumer psychology studies human behaviour in shops, restaurants and online environments: how environmental and marketing cues shape perception, preference, decision-making and observable consumer responses.
| Link | Examples in this option | Evidence question |
|---|---|---|
| Environment or cue | Music, table spacing, website/shop context, package shape/colour, image or quality appeal | What was manipulated or naturally varied? |
| Psychological process | Atmosphere, personal space, cross-modal expectation, choice awareness, self-monitoring | What mechanism is proposed rather than merely observed? |
| Consumer response | Comfort, spending, product/taste evaluation, willingness to try/pay, return intention | How was the response operationalised? |
| Boundary | Culture, context, person difference, artificiality, ethics and commercial interest | Which population, setting and decision can the evidence support? |
For every theory or study: describe the construct and evidence; compare explanations or methods; evaluate reliability, validity and generalisation; connect relevant issues/debates; then apply only the supported relationship to a concrete consumer setting.
A psychological finding is not a universal sales rule. Spending, preference and intention are different outcomes; a field association or one-context experiment must not be generalised beyond its sample, setting, manipulation and measure.
Five key studies connect atmosphere, space, choice, packaging and advertising to consumer responses
| Study | Psychological link and core evidence | Main boundary to remember |
|---|---|---|
| North, Shilcock & Hargreaves (2003) | Classical, pop or no music across 18 British-restaurant evenings; classical music condition produced higher spending | Field realism, but evening/context differences and one restaurant bound causality/generalisation |
| Robson et al. (2011) | Web survey of 1,000+ Americans judging 6/12/24-inch table spacing in three dining contexts; close spacing, especially romantic, drew negative reactions | Projected intentions/emotions are not actual restaurant behaviour |
| Hall et al. (2010) | Supermarket jam/tea choices were secretly switched before justification; no more than about one third of manipulated trials were detected overall | Demonstrates choice blindness under this tasting procedure, not that consumers never know preferences |
| Becker et al. (2011) | Supermarket field experiment varied yoghurt-package curvature and colour saturation; curvature associations transferred to taste, especially for design-sensitive participants | Packaging cue, consumer sensitivity and product/context interact |
| Snyder & DeBono (1985) | Three investigations contrasted image versus quality appeals: high self-monitors favoured image; low self-monitors favoured quality in evaluation, price and trial intentions | Personality–message fit is probabilistic; later contexts/products may differ |
Together the studies move from external atmosphere and spatial design, through awareness of one's own choice, to cross-modal packaging expectations and person–advertisement fit. Their shared lesson is interaction: the same cue need not affect every consumer, context or outcome equally.
The names are not explanations by themselves. For each study, keep the exact manipulation or comparison, measured response and inferential limit attached to the finding; detailed methods and evaluations are taught again in their relevant content Topics.
A key-study answer links the research question to design, evidence, conclusion and boundary
Study reconstruction follows one evidence chain: (1) context/theory identifies the psychological problem; (2) aim or hypothesis states the predicted relationship; (3) design identifies method, variables/conditions, sample, sampling and controls; (4) procedure shows what participants experienced and how responses were measured; (5) results report the actual pattern; (6) conclusion answers the aim without exceeding the data.
| Design feature | Ask | Evaluation becomes useful when… |
|---|---|---|
| Method/setting | Field, laboratory, observation, survey, experiment? | realism and control are tied to the exact consumer behaviour |
| Sample | Who, how many, where, how recruited? | representativeness and cultural/product-market limits are specified |
| Measure/data | Spending, rating, intention, detection, interview? | operational validity, subjectivity/objectivity and depth are connected to the claim |
| Controls/standardisation | What was held constant or randomised? | reliability and causal validity are distinguished |
| Ethics | Consent, deception, privacy, commercial manipulation? | risk, debriefing and validity consequences are balanced |
| Issue/debate | Individual–situational, determinism, reductionism, culture, application? | the debate changes interpretation rather than appearing as a label |
Application must preserve the evidence chain: name the setting and target response, reproduce only the supported cue or relationship, predict a bounded outcome, and state what would need testing before wider rollout. A plausible business idea is not evidence unless it follows from the study's actual design and finding.
Description answers what was done and found; evaluation explains how a specific feature strengthens or limits inference. A long procedure with no result does not answer the aim, and a generic phrase such as 'small sample lacks validity' is incomplete unless the kind of validity and consequence are explained.
2.1 The physical environment
- Syllabus
- 9990–2028–2029
- Topic
- 2.1
- Level
- A2
Store design trades first impression, navigation efficiency and exploration
| Exterior cue | Intended route to response | Evidence boundary |
|---|---|---|
| Storefront/window | Visibility, theme, lighting, warm colour, perspective and self-image congruence can attract attention and entry | Promotion/style information alone may be weaker; culture, store type and display size matter |
| Landscaping | Vegetation/accessories shape liking and first impression before entry | Liking and patronage intention are not identical to actual purchase |
| Mower et al. (2012) | US university students evaluated apparel-boutique exteriors within an S–O–R framework; window/landscaping affected exterior liking and patronage intentions, not main pleasure/arousal | Student/judgment evidence supports a mediated intention claim, not universal sales causality |
| Layout | Physical/virtual structure | Likely trade-off |
|---|---|---|
| Grid | Parallel aisles; online hierarchy category → subcategory → product | Efficient display, clear/easy/fast navigation, but constrained and less engaging |
| Freeform | Asymmetric varied displays; online search or permanently available direct links | Useful for planned list and entertaining/engaging, but can feel less orderly or harder |
| Racetrack/boutique | Themed semi-separate areas and directed loop; online corridor choices force a path | Exposure/exploration and impulse opportunity, but slower or frustrating for a direct target |
Vrechopoulos et al. (2004) transformed grid, freeform and racetrack into online grocery stores. Greek and UK participants completed a planned shopping task with money in a laboratory. Layout was manipulated: grid was easiest/fastest but least engaging; freeform supported list usefulness and entertainment; racetrack imposed corridor navigation. Apply the trade-off to the shopper's goal rather than declaring one best.
| Method | Strength | Limit |
|---|---|---|
| Virtual laboratory | Standardises products/layout and records navigation efficiently | Simulator strain, missing smell/body movement/scale and artificial money/task reduce ecological validity |
| Field experiment/observation | Captures actual movement, time and purchase in real context | Layout changes are costly and extraneous traffic/service/product factors reduce control |
| Questionnaire/interview | Captures satisfaction, liking and reasons; quantitative plus qualitative data possible | Subjective recall, leading wording and intention–behaviour gap |
A layout effect depends on task and context. Direct access can improve planned purchasing while engagement can increase time without guaranteeing spend. Virtual and physical layouts share navigation principles but not all embodied, sensory or cultural features.
Restaurant sound can change spending or reshape multisensory food perception
| Evidence route | Manipulation | Outcome and mechanism |
|---|---|---|
| Background music | Classical, pop or no music in an upmarket restaurant | Music may signal congruent sophistication/atmosphere, changing item choice and spend |
| Background noise | No, quiet or loud white noise while tasting blind | Attention/cross-modal contrast weakens sound-unrelated sweetness/saltiness while food-related auditory texture can heighten crunchiness |
| North et al. (2003) | Exact evidence |
|---|---|
| Aim/design | Field experiment: music style and restaurant spending; independent groups |
| Sample/setting | Opportunity sample 393 diners, roughly gender-balanced, expensive rural Leicestershire restaurant |
| Procedure/control | 18 evenings over 3 weeks; each condition six counterbalanced days; lighting, decoration, temperature, menu and data waitress held constant; spend/table and time recorded |
| Results | Total per head: classical £32.51, pop £29.46, no music £29.73; wine alone highest with no music (£5.05); classical differences included starters/coffee and combined spend |
| Conclusion | Classical was associated with greatest total spend in this congruent upmarket setting—not every item or restaurant |
| Woods et al. (2011) | Exact evidence |
|---|---|
| Procedure | Blind tasting under no/quiet/loud white noise; ratings of sweetness, saltiness, liking (study 1) and flavour, crunchiness, liking (study 2) |
| Findings | Loud versus quiet noise reduced reported sweetness/saltiness, increased crunchiness; background-noise liking related to food liking in study 2 |
| Explanation | Unrelated noise competes for attention or creates cross-modal contrast; crunchiness itself has an auditory channel, so noise can enhance rather than uniformly suppress it |
| Lens | Evaluation |
|---|---|
| Ecological validity | North captures unaware real diners; Woods controls sound/taste but headphones/blindfold/white noise are less restaurant-like |
| Individual–situational | Sound is situational, yet budget, taste, occasion, hearing and sound preference alter response |
| Reductionism–holism | One sound variable is testable; real dining combines company, service, scent, expectation and product |
| Determinism | Sound may bias but diners retain preferences/budget—soft, not hard, determinism |
| Generalisation | North uses one affluent UK restaurant; Woods lab foods/noise do not establish every cuisine or natural noise |
North measured actual spending, not food liking; Woods measured perception, not purchase. Classical music did not produce the highest wine-only spend, and loud noise did not simply reduce every sensation—crunchiness increased.
Retail atmospherics work through emotion, cognition and perceived crowding
| PAD dimension | Meaning | Why the same valence can differ |
|---|---|---|
| Pleasure–displeasure | How pleasant/unpleasant the person feels | Joy and contentment are pleasant at different activation levels |
| Arousal–non-arousal | How energised/alert versus calm/bored | Rage and euphoria are both high arousal despite opposite pleasure |
| Dominance–submissiveness | Feeling in control versus controlled | Anger may feel dominant; fear unpleasant but submissive |
Mehrabian–Russell chain: controllable ambient cue → PAD emotional state → approach (enter, stay, explore, return) or avoidance. Emotion mediates rather than the cue mechanically causing purchase.
| Chebat & Michon (2003) | Exact evidence |
|---|---|
| Question | Did mall scent operate through PAD, or did cognition/arousal better explain response? |
| Field design | Canadian mall over two weeks: no-scent control week (447) then pleasant citrus corridor scent (145); self-administered questionnaire by perfume-free graduate students |
| Measures | Product quality, shopping environment, pleasure and arousal |
| Finding | Scent week produced more favourable product/environment cognitions; results supported cognition–arousal better than a simple PAD mediation |
| Boundary | Week and group differences, self-report/demand and one Canadian mall limit causal/cultural generalisation |
| Machleit, Eroglu & Mantel (2000) | Teaching claim |
|---|---|
| Construct | Human or spatial density can create perceived crowding, but objective density and subjective crowding are not identical |
| Outcome | Higher perceived crowding generally lowers shopping satisfaction |
| Mediation/moderation | Emotional reaction helps explain the link; tolerance, expectations, shopping motive/time and whether a purchase occurs can alter it |
| Application | Manage queue/aisle density and restore control, but test target shoppers/context rather than assuming fewer people always improves experience |
| Evidence lens | Strength and limit |
|---|---|
| Questionnaires/quantitative scales | Fast, standardised comparison of PAD/quality/crowding; forced options lack reasons and remain subjective |
| Qualitative data | Explains why scent/crowding feels pleasant or controlling; slower coding and lower standardisation |
| Objective versus subjective | Age, density or time can be objective; pleasure, arousal, dominance, quality and crowding are experienced judgments |
| Culture/application | Ambient meanings, scent acceptance, personal space and shopping norms vary; retailer benefits require observed behaviour/sales as well as ratings |
Pleasant odour can improve evaluation without PAD being the best causal model. Arousal is not automatically good, dominance is not sales control, and crowding is perceived from density plus expectations, control and purpose.
2.2 The psychological environment
- Syllabus
- 9990–2028–2029
- Topic
- 2.2
- Level
- A2
Wayfinding and movement traces reveal different shopper–environment fits
| Wayfinding input | Psychological job | Diagnostic question |
|---|---|---|
| Building configuration and visual access | Makes destination and possible route perceptible | Can the shopper see or infer where the destination lies? |
| Directional signs | Convert decision points into route instructions | Is the sign visible, unambiguous and placed before the choice? |
| You-Are-Here map | Links current position to a mental map and route | Are orientation, landmarks and destination labels aligned with the building? |
More signage cannot repair every hidden destination or confusing circulation pattern; configuration and information aids must work together.
| Dogu & Erkip (2000) | Evidence |
|---|---|
| Setting/question | A Turkish shopping mall: how configuration, visual accessibility, circulation, signs and You-Are-Here maps shape wayfinding |
| Measure | Closed questionnaire using responses such as always/sometimes/never, alongside environmental analysis |
| Finding | The mall was generally judged easy to navigate, yet signs were insufficient and visually inaccessible targets such as telephones, toilets and concealed stores remained difficult |
| Inference limit | Self-report identifies perceived difficulty but does not by itself prove the route actually taken or isolate one causal feature |
| Gil et al. (2009) cluster | Characteristic movement and likely trip |
|---|---|
| Specialist | Long attention to a small product set; often top-up/non-food and may buy little |
| Native | Long trip through relevant aisles; likely to purchase; main or top-up shop |
| Tourist | Fast route near the entrance while looking to buy |
| Explorer | Very long route through most/all aisles, sometimes repeated; high time and spending opportunity |
| Raider | Fast, decisive movement for a clear immediate target such as food for tonight |
The observed trip forms—short, round, central and wave—summarise route geometry; the five clusters combine trace with shopping purpose. They are patterns in CCTV traces, not diagnoses of personality.
| Lens | Strength | Boundary |
|---|---|---|
| CCTV/naturalistic tracking | Actual routes, time and repeated spatial behaviour; low reactivity if unobtrusive | Motive must be inferred; covert observation raises privacy/consent concerns |
| Cluster analysis | Reduces many traces to meaningful patterns | Category boundaries can be mixed and labels may oversimplify individual trips |
| Questionnaire | Captures perceived ease, purpose and reasons | Demand characteristics, memory and wording can separate report from behaviour |
| Nomothetic–idiographic | Clusters support general patterns; individual traces retain context | Neither alone guarantees generalisation beyond that mall/store/layout |
Use route evidence cautiously: a shopper can behave like a raider on one trip and an explorer on another. A hidden target may remain hard to find even when overall mall ratings are positive.
Menus guide choice through visual attention, list position and description
| Route to choice | Design move | Psychological account | Evidence boundary |
|---|---|---|---|
| Visual attention | Boxes, images, colour/font contrast and deliberate spacing | Eye magnets increase salience during a non-linear scan | Attention is not purchase; clutter, hard reading, over-pricing, monotony or excessive size can reverse benefit |
| List position | Place an item at the beginning or end of its category | Edge position gains attention/retrieval; beginning and end are often framed as primacy and recency | Effect is relative and category/context dependent, not one universal ‘golden spot’ |
| Description | Use clear, fresh, sensory or occasion-congruent wording | Expectation and imagery raise appeal and anticipated taste | Individual/cultural preference and scenario can outweigh elaboration |
Pavesic (2005) treated the menu as both a decision tool and a statement of restaurant image and profitability. It should fit décor and service style, lead attention to suitable high-margin items and remain easy to read. Diners do not simply read line by line; entrées often receive early attention, and the reported average menu-viewing time was about 109 seconds. Design for selective scanning, not guaranteed control.
| Dayan & Bar-Hillel (2011) | Study 1 | Study 2 |
|---|---|---|
| Context | Laboratory choice from printed menus | Real Tel Aviv café orders |
| Manipulation | Category item order changed across baseline, reversed and inside-out variants | Standard versus inside-out menu order over 30 days |
| Measures/sample | 240 university participants chose from categories | 951 menu-referred orders (459 standard, 492 inside-out) |
| Result | Items at category beginnings/ends gained an edge advantage | Real orders supported a position effect; across studies an item could be up to twice as popular at an edge as in the middle |
| Caution | Controlled hypothetical choice | One café/time period and uncontrolled customer differences; neither proves primacy alone because both edges benefited |
| Lockyer (2006) | Exact teaching evidence |
|---|---|
| Focus groups | 4 groups, 48 self-selected participants in Hamilton, New Zealand; five menus described the same dishes differently |
| Survey | Separate randomly approached local sample of 200; open/closed questions, appeal ratings/reasons and content analysis |
| Findings | Seasonal wording had highest appeal, French wording lowest; delicious, flavourful and perfection were strong elaborations; fresh, clear and tasty language was favoured |
| Context | Romantic, business, mother-in-law and family-reunion scenarios altered preferences; individual differences remained substantial |
| Evaluation | Realistic menu stimuli and mixed data add detail, but one city, female imbalance, self-selection and imagined choices limit behavioural/cultural generalisation |
| Application decision | Evidence-based implementation | Test |
|---|---|---|
| Promote one dish | Add restrained eye magnet, place near a category edge and use vivid but accurate description | Randomly vary one feature at a time and record actual orders |
| Protect validity | Hold price, alternatives, time and availability constant where possible | Compare sales plus brief reason/appeal data |
| Protect ethics/brand | Avoid misleading sensory claims or manipulative clutter | Check comprehension, expectation–experience match and subgroup effects |
Dayan and Bar-Hillel found an edge advantage, not a simple first-item-only result. Lockyer measured reported appeal in scenarios, so evocative wording can shape expectation without guaranteeing purchase or experienced taste.
Personal-space responses depend on distance, purpose, control and queue norms
| Hall zone | Approximate range | Typical relation/use | Restaurant implication |
|---|---|---|---|
| Intimate | contact to 46 cm / 18 in | Embracing, touch, whisper; intimate relations | A neighbouring stranger inside this range can threaten privacy |
| Personal | 46 cm–1.22 m / 18 in–4 ft | Family and close-friend interaction | Often relevant to companion conversation and table separation |
| Social | 1.22–3.7 m / 4–12 ft | Acquaintances and formal interaction | Fits less intimate service/business contact |
| Public | 3.7 m–8 m+ / 12–25 ft+ | Public speaking | Usually beyond ordinary adjacent-table interaction |
These are approximate cultural conventions, not biological walls; relationship, setting and task shift comfort.
| Response account | Mechanism when space is invaded | Restaurant example |
|---|---|---|
| Overload | Unchosen smell, touch, heat, speech and movement exceed desired processing and reduce control | Nearby diners create stress and desire to leave |
| Arousal | Proximity raises activation; appraisal makes it positive or negative | Celebration may make activation enjoyable, whereas an intimate meal beside strangers may not |
| Behaviour constraint | The person feels unable to move, speak or act freely | Fixed close tables restrict escape/privacy and can create anger or discomfort |
| Robson et al. (2011) | Exact evidence |
|---|---|
| Aim/sample | How table distance and dining occasion affect anticipated response; 1013 US volunteers (461 men, 537 women, 15 no gender response; 81% Caucasian; varied age/residence) |
| Design/procedure | Two-part web questionnaire; demographics/restaurant experience, then random assignment to one of 9 combinations: table images 6, 12 or 24 inches apart × romantic, friend or business scenario |
| Measures | 32 statements on 1–7 Likert-type scales covering emotional, intentional and anticipated behavioural response; stress-arousal items included |
| Results | Six inches produced more crowding, less privacy/control, greater dissatisfaction and a less positive meal expectation; romantic context showed the strongest negative response, friend moderate, business least affected |
| Evaluation | Large diverse-in-residence quantitative sample and standardisation; US volunteer/self-report, 32-item fatigue, imagined intention–behaviour gap and no qualitative reasons limit generalisation/validity |
| Milgram et al. (1986) | Exact evidence |
|---|---|
| Setting/sample | Confederates intruded into 129 naturally occurring New York waiting lines at ticket counters, betting parlours and other sites; average line length six |
| Procedure | Intruder entered between third and fourth person, made a neutral request, stayed up to one minute unless told to leave; nearby observer coded physical, verbal and non-verbal objections |
| Manipulations | 1 versus 2 intruders crossed with 0, 1 or 2 passive confederate buffers immediately behind the intrusion point |
| Results | Objection rates by condition were 54%, 25%, 5% for one intruder and 91.3%, 25%, 30% for two; people behind/near the insertion were most likely to object and buffers dampened response |
| Conclusion | Queue defence is local and segment-like, not a coordinated whole-line reaction |
| Lens | Robson | Milgram |
|---|---|---|
| Data/method | Standardised quantitative self-report about images/scenarios | Field intervention plus structured naturalistic observation |
| Validity | Reveals private anticipated feelings but not actual dining | Real behaviour, but uncontrolled queue/site differences |
| Ethics | Volunteer, confidential and low physical risk | Covert deception, no prior consent, distress/anger and potential confrontation |
| Explanation | Strong situational effects of spacing/purpose with individual/cultural moderators | Nature/number of intruders, social buffers and position alter norm defence |
| Generalisation | US restaurant volunteers | NYC queues in a particular era and service context |
Distance alone is not the explanation: dining purpose, perceived control, culture and relationship change appraisal. Milgram did not find that everyone objected; defence was strongest just behind the intrusion point, and passive buffers sharply reduced it.
2.3 Consumer decision-making
- Syllabus
- 9990–2028–2029
- Topic
- 2.3
- Level
- A2
Decision models set the goal; strategies set the attribute rule
| Model | Decision rule | Example | Boundary |
|---|---|---|---|
| Utility theory | Rationally compare expected benefits/costs and choose the option with greatest utility | Score laptops by expected performance, reliability and price | Assumes stable preferences, usable probabilities and enough time/information |
| Satisficing | Set minimum requirements, search until an acceptable option appears, then stop | Buy the first coat meeting warmth, size and budget thresholds | ‘Good enough’ can be adaptive under limits; it is not automatically careless |
| Prospect theory | Judge outcomes relative to a reference point; losses generally loom larger than equal gains and sensitivity diminishes farther from the reference | A £50 surcharge can deter more than a £50 saving attracts; framing a warranty as avoiding loss changes response | Describes patterned risk/framing effects, not one fixed choice for every person |
| Strategy family | Rule | Named forms |
|---|---|---|
| Compensatory | A strong attribute can offset a weak one | Equal-weight totals; weighted-additive totals give important attributes more weight |
| Non-compensatory | A failure cannot be rescued by other strengths | Satisficing; elimination-by-aspects applies sequential cut-offs; lexicographic choice takes the best option on the most important attribute |
| Partially compensatory | Some trade-off occurs within a restricted comparison | Majority of conforming dimensions compares two options across attributes then keeps a winner; frequency of good/bad features counts attributes above/below cut-offs |
| What the shopper does | Best diagnosis | Why |
|---|---|---|
| Adds weighted battery, price and camera scores | Compensatory | Weak price may be offset by strong camera/battery |
| Rejects every phone above £600 before comparing cameras | Elimination-by-aspects | Price cut-off cannot be compensated |
| Chooses first chair that is sturdy, wooden and comfortable enough | Satisficing | Search ends at aspiration threshold |
| Compares pairs and repeatedly retains the option winning most dimensions | Majority of conforming dimensions | Limited within-pair trade-off |
| Jedetski et al. (2002) | Evidence |
|---|---|
| Question/design | Experiment (Nov 2000–Feb 2001): whether attribute comparison and number of alternatives alter strategies |
| Tasks | Participants chose answering machines, baby monitors, golf clubs and toasters |
| Interface contrast | CompareNet allowed sorting by attributes and side-by-side alternative comparison; comparison-poor design did not |
| Finding | CompareNet produced more compensatory processing and greater satisfaction, but did not improve confidence or task time |
| Application | Comparison tables enable trade-offs; without them shoppers shift toward non-compensatory rules such as satisficing, lexicographic choice or elimination |
| Debate | Evaluation |
|---|---|
| Application | Retailers can match comparison/filter tools to strategy, but a design that helps complex purchases may overload routine choices |
| Reductionism–holism | Categories make cognition testable yet omit emotion, identity, social influence, budget and store atmosphere |
| Determinism–free will | Framing/interface constrain processing, while shoppers can change goals, seek reviews and choose effort |
| Idiographic–nomothetic/culture | General rules predict patterns, but product importance, joint choice, affluence and choice availability shift strategy within and between people |
Do not infer a stable ‘type of shopper’ from one purchase. The same person may use weighted comparison for an expensive computer and satisficing for routine groceries; observed purchase alone may not reveal the private rule.
Choice heuristics trade information for speed using different cues
| Heuristic | Cue/rule | Consumer example | Common confusion |
|---|---|---|---|
| Availability | Judge likelihood/importance by how easily examples come to mind | Vivid battery-fire news makes one phone seem unusually risky | Ease of recall is not objective frequency |
| Representativeness | Judge by similarity to a prototype/category | Leader-like packaging is assumed high quality | Resemblance can ignore base rates and real attributes |
| Recognition | If one option is recognised and another is not, favour the recognised one | Buy the familiar shoe brand worn for years | Familiarity is the cue; it is not mere recent recall |
| Take-the-best | Inspect cues by validity and stop at the first discriminating cue | Choose the egg carton with the clearest decisive welfare/price cue | It does not total every attribute |
| Anchoring/adjustment | Start from an initial number/information and adjust insufficiently | ‘Limit 12’ or ‘buy 18’ raises quantity considered normal | Anchor need not be informative or a genuine discount |
| Wansink, Kent & Hoch (1998) | Exact teaching claim |
|---|---|
| Model/design | Anchoring-and-adjustment account tested in two field experiments and two laboratory studies |
| Point-of-purchase anchors | Multiple-unit price (‘5 for £2’), purchase limit (‘limit 5’) and suggestive quantity (‘buy 18 Snickers for your freezer’) |
| Finding | Numerical/quantity anchors increased purchase quantity; even general and explicit Snickers suggestions raised sales |
| Boundary | Consumers who retrieved self-generated anchors such as budget, list or normal usage resisted more effectively; more units can reflect stockpiling/switching rather than greater consumption or retailer profit |
| Technique | Cognition encouraged | Risk/control |
|---|---|---|
| Multiple-unit pricing | Makes a larger bundle feel attractive/normal | Show unit price; compare against a one-unit control |
| Quantity limit | Implies scarcity/high demand and supplies a numerical anchor | Can feel manipulative; observe whether customers actually need it |
| Suggestive selling | Adds a use or complementary item and a quantity idea | Standardise wording and distinguish cross-sell from pressure |
| Consumer defence | Recall usual quantity, budget/list and compute unit value before using the display anchor | Test whether internal anchor removes the effect |
| del Campo et al. (2016) | Evidence |
|---|---|
| Aim/design | Between-subjects online experiment in Vienna and Madrid; time pressure present/absent |
| Task | Choose one of five egg cartons designed for recognition, take-the-best, emotional, cognitively complex or filler processing; order randomised |
| Pressure | Random assignment; 40-second limit versus no limit; then open reason, buying questions and 25-item decision-style scale |
| Findings | Pressure reduced cognitively complex choice in both samples but increased take-the-best clearly only in Vienna; Madrid shifted toward recognition; style relationships differed by country |
| Conclusion/boundary | Situation and individual style can interact, but results were inconsistent across culture; chosen product only indirectly identifies the heuristic and eggs are one low-involvement product |
| Evidence lens | Strength | Limit |
|---|---|---|
| Experiment/objective choice | Standardised products, random assignment and recorded selection permit causal comparison | Artificial cartons, inferred cognition and time awareness reduce validity |
| Quantitative scales | Compare style dimensions and conditions reliably | Scores are subjective and translation/factor structure may vary culturally |
| Open reasons | Reveal why a cue mattered | Post-hoc rationalisation, social desirability and coding subjectivity |
| Determinism | Heuristics predict systematic responses useful for interventions | More than one shortcut may operate; lists, knowledge and deliberation preserve agency |
Identify the heuristic from the operative cue, not speed alone. Numerical promotions can anchor quantity without creating a real saving, and del Campo did not find one universal time-pressure or personality effect across Vienna and Madrid.
Fast processing can hide a switched choice and similar adverts can overwrite memory
| System | Processing | Consumer use | Error/boundary |
|---|---|---|---|
| System 1 / thinking fast | Automatic, rapid, low-effort, associative and often unconscious | Routine groceries, familiar brands, immediate affect and heuristics | Efficient but cue/framing sensitive; not always wrong |
| System 2 / thinking slow | Effortful, deliberate, sequential and consciously monitored | Expensive computer comparison, checking unit price and reviewing evidence | Can correct an intuition but needs attention/time and can rationalise rather than guarantee truth |
Shleifer (2012) applies the dual-process distinction to judgement: System 1 supplies quick intuitions; System 2 may monitor or revise them. Behavioural speed alone cannot reveal the private process.
Choice blindness occurs when a person fails to notice that the outcome presented as their choice differs from the one selected, yet may confidently defend the manipulated outcome. Preference reports can therefore be partly constructed from the current situation rather than retrieved as fixed facts.
| Hall et al. (2010) | Exact evidence |
|---|---|
| Sample/setting | 180 supermarket customers in Lund, Sweden (118 women, 62 men; age 16–80; three recordings later excluded) |
| Cover/deception | Presented as independent consultants running quality control; double-ended divided jars enabled covert switch while an experimenter distracted the participant |
| Task | Taste paired jams and smell paired teas, choose/rate on 1–10; on manipulated trials the chosen item was switched before re-sampling and reasons were elicited |
| Motivation manipulation | Half expected their selected tea/jam as a thank-you gift |
| Results | Only 33% of manipulated jam and 32% of tea trials were detected; dissimilar jam switches were detected more, but similarity did not show the same pattern for tea; promised jam reduced detection, promised tea did not |
| Conclusion | Considerable choice blindness survived meaningful sensory differences and participants could justify switched outcomes |
| Interference | Timeline | Advertising consequence |
|---|---|---|
| Proactive | OLD memory → disrupts NEW learning/recall | Earlier competitor-phone advert makes new phone details hard to learn or confuses them |
| Retroactive | NEW material → disrupts OLD memory | Later competitor advert alters/blocks memory for the original brand |
Similarity and close timing increase competition. Use the arrow test: proactive acts forward from old; retroactive reaches back from new.
| Burke & Srull (1988) | Result |
|---|---|
| Experiment 1 | After 12 magazine adverts and purchase-likelihood judgments, later same-line/competitor advertising inhibited memory for earlier brand information: retroactive interference |
| Experiment 2 | Prior competitive advertising impaired learning/recall of distinctive information in later adverts: proactive interference; a predicted interaction was absent, possibly due to short exposure–test interval |
| Experiment 3 | 22 full-colour magazine adverts and value ratings; competitive advertising significantly inhibited cued recall, and repetition helped recall mainly when similar-product advertising was low/absent |
| Boundary | Controlled laboratory evidence supports causality/reliability, but advert exposure, motivation and recall tests are less natural than real repeated campaigns and purchase |
| Lens | Hall | Burke–Srull |
|---|---|---|
| Experiment/validity | Field setting, real sensory materials and low demand; less control over supermarket context | Lab control, standardisation and replication; demand/artificial exposure |
| Data/interview | Detection rates plus reasons reveal blindness and post-choice defence | Recall measures quantify memory inhibition but reveal less lived meaning |
| Ethics | Covert switch/false cover mean deception and incomplete consent, though debrief/low stakes can limit harm | Participants know study context more, but aim may still be concealed |
| Determinism–agency | Unnoticed manipulation constrains report; detection shows not everyone is blind | Order/similarity constrain recall; attention, motivation and strategy still matter |
| Reliability/generalisation | Standardised jars/procedure, but Swedish supermarket and food senses | Repeatable tasks, but magazine ads and student/experimental context may not generalise |
System 1 is adaptive as well as error-prone, and System 2 is not an accuracy guarantee. Remember the interference arrows: old blocks new = proactive; new blocks old = retroactive. Hall measured failure to detect a covert switch, not absence of all genuine preference.
2.4 The product
- Syllabus
- 9990–2028–2029
- Topic
- 2.4
- Level
- A2
Presentation shapes a product through social meaning, sensory expectation and gaze
| Presentation route | Cue | Psychological effect | Boundary |
|---|---|---|---|
| Gift meaning | Traditional, non-traditional or no wrapping | Signals effort, occasion and that the object is a special gift | Relationship, expectation, occasion and neatness change interpretation |
| Package expectation | Shape curvature and colour saturation | Symbolic potency can transfer across senses into expected/evaluated taste and price | Package changes perception, not the yoghurt recipe |
| Shelf attention | Planogram and horizontal position | Central placement attracts fixation and can bias choice | Looking, choosing and liking are related but not identical |
| Gift-wrapping evidence | Finding and inference |
|---|---|
| Howard (1992), experiment 1 | 45 students evaluated a promised bicycle-seat cover; traditionally wrapped gift was rated more favourably (7.14) than unwrapped (6.06) |
| Howard, experiment 2 | 82 students: wrapping improved evaluation when they believed the gift was for them, not when judging it for someone else |
| Porublev et al. (2009) | Australian observations, 20 interviews and 6 paired wrapping workshops found clear expectations and preference for wrapped gifts, adding qualitative reasons |
| Rixom et al. (2019) | 261 adults imagined neat/sloppy wrapping from friend/acquaintance; relationship and expectation can make imperfect wrapping from a close giver signal effort rather than low value |
| Becker et al. (2011) | Exact evidence |
|---|---|
| Pre-test | 20 participants rated three shape pairs and colour variants on a 12-item potency construct; random order and 7-point scales selected effective angular/rounded and saturation manipulations |
| Main design/sample | Field experiment, 151 German supermarket customers (74 men, 77 women; 15–81); 2 shape × 2 saturation × high/low design sensitivity |
| Procedure | At the entrance, each saw a 20-second rotating image of one fictional lemon-yoghurt package, tasted identical yoghurt and completed computer scales |
| Measures | Taste intensity (sharp, bitter, reverse mild), product evaluation, expected euro price and design sensitivity |
| Results | Angular packaging looked more potent and raised price expectation; no overall shape/colour taste effect, but design-sensitive participants rated identical yoghurt more intense with angular than rounded packaging; appearance effects therefore depended on the person |
| Atalay et al. (2012) | Evidence |
|---|---|
| Programme | Three studies across vitamins, meal-replacement bars and energy drinks; Paris undergraduate samples included about 63/64 and 84 participants |
| Centrality result | A brand in the horizontal centre was chosen more often even when centre of category differed from physical screen/shelf centre |
| Eye-tracking process | Central options received more attention; an initial fixation bias was followed by a growing central gaze cascade immediately before choice |
| Interpretation | Planograms can exploit attention, but eye tracking objectively records where/when gaze lands, not why or whether centrality alone caused preference |
| Lens | Evaluation |
|---|---|
| Validity | Becker uses identical yoghurt and a supermarket context but rotating screen packages are not actual handling/purchase; Atalay tracks gaze precisely but laboratory shelves lack normal shopping goals |
| Objective/subjective | Fixations are objective; potency, taste, gift and brand ratings are subjective but access experience |
| Generalisation | German shoppers, French students and Australian/US gift samples are culturally and demographically bounded |
| Reductionism/free will | Isolated shape/position yields testable causality; real choice also uses price, brand, need and deliberate search |
A central product can receive more gaze without being objectively better, and angular packaging can alter reported intensity for design-sensitive consumers without changing the identical yoghurt. Gift-wrapping effects likewise depend on recipient, relationship and occasion.
Sales techniques differ in whose information drives the relationship
| Sales orientation | Salesperson does | Buyer–seller effect | Limitation |
|---|---|---|---|
| Customer-focused | Elicits unique needs, diagnoses the problem and acts as consultant | Trust, fit, loyalty and recommendation can grow | Slow/training intensive; questioning can feel intrusive |
| Competitor-focused | Compares price, reviews, service, ethics or features against rivals | Makes relative value easy and can secure a deal quickly | Reduces diverse buyers to comparison and neglects unique need/product depth |
| Product-focused | Demonstrates features, quality and technical benefits | Expertise can build confidence for complex products | Information overload and feature-pushing can weaken relationship if need is ignored |
Disrupt-then-reframe (DTR) is a two-step influence technique: (1) present an unexpected or confusing formulation that interrupts routine processing, then (2) immediately re-express it as a simple favourable meaning. Disruption creates ambiguity; the reframe offers closure. Disruption alone is not the persuasion mechanism.
| Kardes et al. (2007) | Evidence |
|---|---|
| Experiment 1 | DTR increased real retail sales in a supermarket field setting |
| Experiment 2 | DTR increased willingness to pay to join a student interest group |
| Experiment 3 | DTR increased student support for a tuition increase |
| Mechanism | Effects grew as need for cognitive closure increased; disruption motivates acceptance of a reframe that reduces ambiguity |
| Closure moderators | Time pressure, fatigue, noise, uncertainty and a dispositional preference for order/decisiveness can raise closure need; accountability or desire for accuracy can reduce premature closure |
| Boundary | Behaviour across three contexts supports application, but field control, student generalisation and ethical manipulation remain concerns |
| Cialdini principle | Why it can close a sale | Ethical example |
|---|---|---|
| Reciprocity | People tend to return a benefit | Useful free trial/sample before a no-pressure offer |
| Commitment/consistency | People align action with prior stated choice | Confirm genuinely selected needs before offering matching plan |
| Social proof | Similar others' choices reduce uncertainty | Verified reviews from comparable customers |
| Liking | Similarity/rapport increases receptiveness | Honest common ground and respectful interaction |
| Authority | Credible expertise reduces uncertainty | Relevant qualification and transparent evidence |
| Scarcity | Dwindling availability raises perceived value/urgency | Truthful stock/deadline information, not fabricated pressure |
| Application | Valid inference | Risk |
|---|---|---|
| Bicycle comparison page | Competitor-focus can make gears, tyres, warranty and price explicit | Cherry-picked comparison erodes trust |
| Car consultation | Customer-focus can fit budget/use and support loyalty | Seller may only imitate listening |
| Limited offer | Scarcity can speed action because opportunity seems at risk | Scarcity wording is not proof of actual scarcity |
| DTR price | Odd unit expression followed by simple value frame may gain attention/closure | Confusion can exploit rather than inform, harming autonomy and relationship |
No closing principle guarantees compliance. Culture, relationship, product involvement and closure need change response. Ethical influence requires the comparison, authority, review and scarcity claim to be genuine; otherwise a short-term sale can damage the buyer–seller relationship.
Buying moves from need to search, choice and post-choice justification
| Engel–Kollat–Blackwell stage | Learning job | Car example |
|---|---|---|
| 1 Problem recognition | Detect gap between current and desired state | Existing car breaks down |
| 2 Search for alternatives | Retrieve internal knowledge and seek external options | Visit garages, reviews and listings |
| 3 Alternative evaluation | Compare options using valued criteria | Price, mileage, size, reliability and service |
| 4 Purchase decision | Select product/seller and complete transaction | Choose the best-fitting affordable car |
| 5 Post-purchase behaviour | Evaluate outcome, seek reassurance, complain/return or become loyal | Experience confirms choice or produces dissonance |
The model is comprehensive and face-valid for high-involvement purchases, but routine/impulse choices may skip, compress or revisit stages.
| Sinha et al. (2002) store-choice evidence | Pattern | Application boundary |
|---|---|---|
| Method/context | Exploratory field survey of shoppers leaving different stores in Ahmedabad, India; factor analysis and multinomial logit grouped primary/image reasons | Associations from one city/culture and self-report do not prove demographic causation |
| Age | Ages 25–40 emphasised merchandise/ambience; 30–40 also service and patronised stores; convenience mattered for middle groups | Age categories hide income, task, mobility and cohort differences |
| Gender | About 40% of men prioritised convenience/proximity and 30% merchandise; women showed the reverse ordering | Useful group tendency, not a prescription for every man/woman |
| Store type | Grocery leaned on proximity/association; durable goods on merchandise/referrals; apparel/books/music on ambience | Product/store context changes the weight of each reason |
| Post-purchase cognitive dissonance | Explanation |
|---|---|
| State | Discomfort when purchase behaviour conflicts with a belief, attractive rejected alternative or later information—‘I bought this’ versus ‘the other was cheaper/better’ |
| Increases with | High cost/involvement, difficult and irreversible choice, similar attractive alternatives, personal responsibility and negative information |
| Consumer reduction | Revalue chosen option upward/rejected option downward, seek supportive reviews, change belief, return/cancel, research/budget before purchase |
| Seller reduction | Accurate need-fit advice, price guarantee, returns, warranty, service and strong truthful post-purchase information |
| Boundary | Reducing discomfort can improve fit or merely rationalise; dissonance does not prove the product failed |
| Nordvall (2014) | Evidence and inference |
|---|---|
| Choice task | Consumers rated organic and non-organic grocery alternatives before and after selecting one |
| Finding | After choosing non-organic, its preference rating increased while the rejected organic alternative decreased |
| Interpretation | Spreading the alternatives is consistent with dissonance reduction: strengthen chosen cognition and weaken rejected one |
| Application | Timely, credible information before purchase might support switching to organic; after choice, reassurance may instead consolidate the selected option |
| Limitation | Preference change is an indirect indicator; no formal direct dissonance measure means alternative accounts such as choice-supported memory remain possible |
| Lens | Evaluation |
|---|---|
| Reductionism–holism | EKB organises a complex process but real buying loops through emotion, social influence, availability and context |
| Idiographic–nomothetic | Stage/demographic models support predictions; individual goals and life history remain necessary |
| Objective–subjective | Purchase/choice can be observed; reasons, preference and dissonance are subjective and vulnerable to reconstruction |
| Validity/culture | Natural-store samples improve relevance, but Indian store formats and organic-food meaning may not transfer unchanged |
Treat EKB as a map, not a compulsory straight line. Demographic findings are probabilistic associations, and a post-choice preference shift is compatible with dissonance reduction but is not a direct measurement of discomfort.
2.5 Advertising
- Syllabus
- 9990–2028–2029
- Topic
- 2.5
- Level
- A2
Advertising works when source, message, medium and audience form one chain
| Yale feature | Persuasion question | Application | Boundary |
|---|---|---|---|
| Source | Is communicator expert/trustworthy/likeable? | Relevant clinician for health claim | Celebrity visibility is not topic expertise |
| Message content | Is aim clear; one/two-sided; evidence/statistics appropriate? | Two-sided claim can build trust with informed audience | Complexity may overload or expose weak evidence |
| Channel | Which mode carries the message—print, TV, internet, smartphone? | Demonstration suits video; searchable detail suits web | Medium effectiveness depends on task/audience |
| Audience | What age, education, culture, involvement and prior attitude? | Tailor language and evidence to processing ability | Group tendency is not individual destiny |
| Effect | Did attention/comprehension change belief, attitude, intention or behaviour? | Measure purchase as well as liking | Attitude change is not automatically behaviour change |
| Medium | Strength | Common constraint |
|---|---|---|
| Stable, self-paced detail and accepted ad context | Static, limited targeting/interaction | |
| Television | Audio-visual emotion/demonstration and mass reach | Cost, fleeting exposure and avoidance |
| Internet | Search, targeting, links and rich measurement | Clutter, irritation, privacy and banner blindness |
| Smartphone | Always-near, personalised/location-linked and direct action | Small screen, interruption and notification fatigue |
| Ciceri et al. (2020) | Exact evidence |
|---|---|
| Design/sample | Laboratory comparison, 72 participants, same mock newspaper containing 25 static adverts |
| Media | Website on laptop, printed paper, or PDF on tablet; read at own pace |
| Measures | Eye-tracking fixation; EEG index interpreted as frustration; after one-hour distractor, recognise 25 seen adverts among 50 |
| Results | Ad fixation and recognition highest for tablet, lowest for website; website produced greater EEG-indexed frustration; tablet and paper were not significantly different overall |
| Inference | Familiar newspaper-like presentation may make adverts less intrusive; medium changes attention/memory, not just content |
| Lauterborn 4C | Consumer-centred question | Reframes 4P |
|---|---|---|
| Consumer needs/wants | What problem/value does the buyer actually seek? | Product |
| Cost to satisfy | What money, time, effort and risk does acquisition/use impose? | Price |
| Convenience to buy | How easy are information, access, transaction and delivery? | Place |
| Communication | How can brand and consumer exchange useful, responsive information? | Promotion |
| Evidence lens | Strength and limit |
|---|---|
| Objective measures | Fixation, recognition and EEG are numerical/repeatable; EEG does not uniquely identify subjective frustration |
| Subjective data | Reasons/irritation ratings would improve construct validity but introduce response bias |
| Ecological validity | Realistic newspaper materials; apparatus and mock reading reduce natural browsing |
| Generalisation/culture | Medium norms, age and digital literacy change acceptance; one Western sample does not fix global media strategy |
Do not equate attention with persuasion or EEG with a direct report of frustration. Ciceri held content constant and found a medium effect, but Yale and 4Cs show that source, audience, value, cost and convenience still determine whether attention becomes action.
Advertising is stronger when its appeal fits the person or reactivates prior brand memory
| Self-monitoring | Main orientation | Better-matched appeal | Example |
|---|---|---|---|
| High | Adjusts self-presentation to situation/social image; attitudes often serve social-adjustive function | Image/soft sell: appearance, lifestyle, aspiration | Fashionable coat in aspirational social scene |
| Low | Behaviour/self-presentation more consistent with internal values; attitudes often value-expressive | Quality/hard sell: function, durability, performance | Coat materials, warmth and years of wear |
High does not mean ‘better self-awareness’; low does not mean absence of self-control. The construct predicts message fit probabilistically.
| Snyder & DeBono (1985), Study 3 | Exact evidence |
|---|---|
| Sample/design | 40 Minnesota introductory-psychology undergraduates; self-monitoring median split; independent groups and random image/quality message allocation |
| Procedure | Standardised telephone call framed as shampoo market research; caller did not know monitoring status |
| Image message | Average cleaning but above-average appearance |
| Quality message | Average appearance but above-average cleaning |
| Measures | Willingness on 5-point definitely-not→definitely-yes and 0–100% try scale |
| Result | High self-monitors were more willing after image appeal; low self-monitors after quality appeal: persuasion depended on person–message match |
| Product-placement explanation | Mechanism | Prediction |
|---|---|---|
| Mere exposure | Repeated low-awareness contact increases familiarity/positive affect | More placements can make brand feel fluent even without explicit recall |
| Reminder | Recent placement reactivates an existing brand representation/preference | Effect is strongest when brand/film was encountered before |
| Association | Brand inherits affect/identity from character or scene | Positive protagonist/context can colour evaluation |
These routes can coexist; explicit recall is not required for an implicit choice effect.
| Auty & Lewis (2004) | Exact evidence |
|---|---|
| Sample/design | 105 children aged 6–7 and 11–12; classroom exposure to one of two Home Alone clips |
| Manipulation | Pepsi mentioned/shown/spilled at a meal versus similar food-and-milk scene without a branded product |
| Procedure/DV | Individual witness interview; before it, child chose Pepsi or Coke |
| Result | Branded-clip exposure significantly shifted drink choice; interviews suggested previous film exposure plus recent placement reminder, not simple explicit recall alone |
| Age | Age/processing skill did not mediate choice clearly, consistent with implicit memory |
| Lens | Snyder–DeBono | Auty–Lewis |
|---|---|---|
| Validity | Standardised/double-blind message isolates fit; telephone hypothetical willingness is not purchase | Real film/real drink choice improves behavioural validity; classroom/interview demand and brand preference remain |
| Self-report/data | Two quantitative willingness ratings efficient but subjective | Choice objective plus qualitative interview reasons; explicit account may miss implicit process |
| Ethics/children | Deceptive market-research cover, adult students | Parental/school consent, assent, branded drinks and covert commercial influence require protection |
| Determinism | Fit predicts response, not inevitability | Placement biases choice, but prior preference and agency remain |
A matched appeal raises average willingness; it does not classify every consumer. Auty and Lewis show that choice can change without accurate explicit recall, so ‘the child did not mention Pepsi’ is not evidence that placement had no effect.
Brand learning moves from recognition to meaning, while slogans link the two
| Construct | What it means | Suitable measure |
|---|---|---|
| Brand recognition | Identify brand when logo/name is shown among options | Logo–product matching or forced-choice array |
| Brand recall | Retrieve brand without the brand itself being shown | Name brands from a product-category cue |
| Brand awareness | Overall accessibility/familiarity of brand identity and products; includes recognition and recall | Combined aided/unaided tasks |
| Brand image | Network of meanings, qualities, users and feelings associated with brand | Interviews, semantic ratings and association tasks |
Recognition is easier than recall and can emerge before a child understands persuasive intent.
| Fischer et al. (1991) | Exact evidence |
|---|---|
| Aim/sample | Logo recognition in 229 convenience-sampled preschool children aged 3–6 in Augusta/Atlanta, Georgia |
| Task | Match 22 logos—including children’s, adult and Camel/Marlboro cigarette brands—to one of 12 pictured products on a game board |
| Results | High recognition; cigarette logos fell between children/adult categories; Disney Channel and Old Joe highest in their categories; Old Joe→cigarette rose from about 30% at age 3 to 91.3% at age 6 |
| Conclusion | Very young children acquire logo–product associations, including harmful adult brands |
| Boundary | Matching demonstrates recognition/exposure, not understanding, liking, smoking intention or later behaviour |
| Slogan type/function | Example structure | Psychological job |
|---|---|---|
| Imperative | ‘Choose…’ | Prompt action |
| Descriptive/benefit | ‘The easiest phone to use’ | State category/differentiated promise |
| Superlative/leadership | ‘The most…’ | Position superiority—must be defensible |
| Provocative/question | ‘Why settle?’ | Create curiosity/involvement |
| Jingle/rhyme/alliteration | Rhythm/sound pattern | Improve encoding and retrieval |
| Brand-linked tagline | Brand name plus distinctive meaning | Strengthen brand–slogan association and image |
| Kohli, Leuthesser & Suri (2007) guideline | Why |
|---|---|
| Start from positioning and a single differentiated benefit | Slogan must say what brand stands for, not substitute vague praise |
| Include/strongly cue brand and product category where needed | Stand-alone comprehension and brand linkage |
| Keep concise, clear and easy to repeat | Supports recognition/recall across exposure |
| Use creativity, rhythm or emotion only when congruent | Memorability without obscuring meaning |
| Repeat consistently and integrate with campaigns | Builds association over time; frequent change destroys accumulated equity |
| Pre-test comprehension, uniqueness, liking and brand linkage | A liked slogan can still be misattributed or ineffective |
| ‘B is brilliant’ problem | Better decision |
|---|---|
| Vague and could describe anything | State easiest-to-use phone benefit |
| Weak category/award linkage | Include phone/award cue where brand alone is unknown |
| Minimal distinctiveness/memorability | Add concise, ownable rhythm without sacrificing clarity |
| Cannot infer sales causality | Test recall, recognition, linkage and later behaviour against alternatives while controlling campaign exposure |
| Child-research issue | Protection/interpretation |
|---|---|
| Consent/assent | Parent/school informed consent plus age-appropriate child assent and withdrawal |
| Comprehension | Game-like matching must not imply adult understanding; avoid leading cues |
| Harm/commercial exposure | Do not increase attraction to tobacco/unhealthy brands; debrief carers appropriately |
| Usefulness | Children are current/future consumers; evidence can guide safeguards and less child-appealing adult-brand design |
Brand awareness is not brand liking, and recognition is not purchase. A slogan can be memorable yet fail if it is not linked to the correct brand or differentiated meaning; long-run sales cannot be causally assigned to the slogan while product, price and campaign also change.