MKTG90026 Chap.2 Brand Awareness, Attitudes and Satisfaction
Brand Awareness, Attitudes and Satisfaction
Customer perception metrics describe distinct stages rather than one general idea of brand strength. Awareness concerns memory, attitude concerns evaluation, usage records behaviour, satisfaction follows experience and advocacy captures stated recommendation.
This chapter uses adjacent-stage gaps to diagnose problems and gives special attention to Net Promoter Score, including category thresholds, index calculation, survey boundaries and the difference between an advocacy signal and a causal explanation.
What this chapter covers
- 01
Unaided and aided awareness
- 02
Functional and emotional attitudes
- 03
Usage measures and context
- 04
Satisfaction and expectations
- 05
Promoters, passives and detractors
- 06
Survey design and comparison
Worked example · free
Calculate an advocacy index
- 1Promoters equal 92 divided by 200, or 46%.
- 1Detractors equal 44 divided by 200, or 22%.
- 1NPS equals 46 minus 22, which is 24.
- 1Interpret 24 as an index-point gap, not a customer percentage.
Key terms
- Aided Awareness
- Recognition of a brand when a respondent receives a prompt or list.
- Brand Attitude
- A customer's functional or emotional evaluation of a brand.
- Advocacy Index
- A summary of stated recommendation calculated from promoter and detractor shares.
Brand Awareness, Attitudes and Satisfaction FAQ
What is the difference between awareness and attitude?
Awareness tests whether the brand can be recalled or recognised, while attitude asks how the brand is evaluated. A brand can be highly familiar and still be disliked, so the two measures should remain separate and be compared as adjacent stages.
Does a high satisfaction score prove loyalty?
No. Satisfaction describes an evaluated experience and can support retention, but switching costs, alternatives, habit and price also influence loyalty. Combine satisfaction with repeat behaviour, churn or advocacy rather than treating one survey score as a complete relationship measure.
How should NPS changes be reported?
Report the movement in index points and preserve the sample, timing and question definition. Moving from 24 to 30 is a six-point increase. It is not automatically a six-percent increase and does not identify the cause without follow-up diagnostics.
What makes two survey waves comparable?
Keep question wording, response scale, sampling frame, collection channel and lifecycle timing stable. If any boundary changed, disclose it and investigate whether the apparent movement reflects measurement design rather than customer sentiment.
Exam move
Build a five-stage ladder from awareness through advocacy and attach one diagnostic question to every transition. Recompute NPS from counts, then explain why the result is an index rather than a percentage of customers. When reviewing survey comparisons, check population, response timing, scale and response bias before accepting a trend. Start with a blank ladder labelled awareness, attitude, usage, satisfaction and advocacy.
For each stage, write the question being asked, the eligible population and one measure that belongs there. Then invent a gap between adjacent stages and diagnose it. High awareness with weak attitude suggests a meaning or evaluation problem; favourable attitude with low usage may point to availability, price or conversion; satisfactory experience with weak advocacy may require deeper relationship evidence.
This prevents a broad claim about brand strength from replacing a stage-specific interpretation. Practise survey calculations from respondent counts rather than memorised percentages. Separate promoters, passives and detractors, confirm that category shares sum to 100%, and calculate NPS as promoters minus detractors. State the result in index points, not as the percentage of all respondents who recommend.
Change one category count and predict the direction before recalculating. Also practise cases where the mean satisfaction score rises while the distribution becomes more polarised, because a single average can conceal a growing dissatisfied tail. When comparing waves, build a comparability checklist: same question wording, scale, sampling frame, response channel, fieldwork timing and customer lifecycle point.
Note whether the survey follows a recent transaction or measures the relationship more generally. A statistically visible movement is not automatically caused by a campaign, service change or competitor action. Write one plausible alternative explanation and one follow-up measure, such as complaint themes, repeat purchase or churn, that would test it.
For multiple-choice drills, underline the construct in the stem before looking at the values. Reject options that substitute familiarity for evaluation, satisfaction for loyalty, or stated advocacy for observed retention. If a percentage-point change is requested, subtract the two rates; if a relative percentage change is requested, divide the difference by the starting rate.
Keep a small error table for construct confusion, category thresholds, point-versus-percent language and unmatched samples. Finish every interpretation with an action at the weak transition and a limitation on what the survey alone can establish. In the last revision cycle, recreate the ladder and NPS method from memory, then explain them aloud without notes.
Use three contrasting mini-cases: a famous disliked brand, a liked but unavailable brand and a satisfying service with low recommendation. These cases make it harder to collapse the stages under time pressure. Finally, pair every perceptual measure with a behavioural or economic check so the managerial recommendation respects both customer sentiment and actual outcomes.
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