A brand image research report dominated by “top of mind” bars and general favorability ratings rarely makes it into a creative brief or communications plan. Well-designed brand image research delivers something different: a map of associations, attributes, and emotions that can be translated into specific decisions about positioning, communications, and portfolio architecture. The question, then, is not “whether to measure brand image,” but “which metrics drive action on the marketing side.”<\/p>\n
Brand image research is valuable at several points in a brand’s life cycle: before repositioning, after launching a new campaign, when entering a new segment, following a merger or rebrand, and as part of ongoing monitoring (brand tracking). In each of these cases, the purpose of measurement differs, which means that the set of metrics must also differ. Brand image treated as a single “thermometer” shows whether a brand has a temperature, but does not explain what is causing it.<\/p>\n
What is brand image from a research methodology perspective? It is the set of associations, beliefs, emotions, and expectations that consumers attribute to a brand within a specific category context. Brand perceptions are comparative in nature – they always exist in relation to competitors and category needs. This is why brand image research should be designed backward, starting with the decision marketing is expected to make once the results are available. If the decision concerns selecting a communications territory, attributes and their discriminating power should be measured. If the decision concerns assessing campaign effectiveness, changes over time should be measured against previously defined brand image KPIs.<\/p>\n
The most common mistake at the design stage is confusing brand awareness with brand image. Brand awareness research answers the question, “Does the consumer know the brand, and in what context do they recall it?” (unaided awareness, aided awareness, top of mind). Brand image answers the question, “What does the consumer think and feel about the brand once they recall it?” Both dimensions are needed, but confusing them in the analysis leads to incorrect conclusions – for example, interpreting high awareness as a positioning success.<\/p>\n
The set of metrics in brand image research depends on the project objective; however, there is a core measurement framework that appears in most quantitative projects. The list below shows which layers of brand perception are worth separating in the questionnaire so that the analysis can support differentiated conclusions:<\/p>\n
Separating discriminating attributes from attributes shared across the category is critical to making results actionable. If all brands in a category receive high ratings for the attribute “trustworthy,” this attribute is not suitable as a communications territory, even if the focal brand’s result appears attractive. Driver analysis (regression, Shapley analysis, choice models) makes it possible to separate what a brand “has” from what genuinely builds its position.<\/p>\n
The second pillar of actionable results is comparability with competitors. Brand image research has limited value without a competitive set – a group of reference brands against which respondents evaluate each brand on the same attributes. As Hume’s Institute experts point out, brand image is not what a brand says about itself, but what customers retain in their minds – and this content exists only in the context of the alternatives available to consumers. This is why measurement in isolation from competitors produces a picture detached from the purchase decision.<\/p>\n
The third pillar is the qualitative layer. Quantitative research shows where a brand stands on defined dimensions, but it does not explain why. In Hume’s Institute projects, combining quantitative measurement with a qualitative phase (IDI, FGI, ethnography, projective techniques) has been observed to significantly increase the usefulness of the marketing brief – it is consumer quotes, narratives, and metaphors that enable the creative team to understand what language to use when speaking to the audience. Mixed methods are now a common standard in decision-oriented brand image projects.<\/p>\n
The questionnaire design also matters. Unipolar scales (e.g., 0-10) work well for measuring the strength of associations, semantic scales (Osgood’s semantic differential) for comparing brands, and the MaxDiff method for forcing attribute prioritization when respondents tend to rate everything as “important.” Scale selection is not merely cosmetic – it affects whether results can be translated into communications priorities.<\/p>\n
The most common pitfalls in brand image research are methodological, but their consequences are strategic – they lead to decisions based on measurement artifacts rather than market reality. Below is a list of typical problems and their implications for the usefulness of results:<\/p>\n
A separate issue is the choice between ad hoc research and ongoing tracking. Ad hoc research answers a specific question at a particular point in time and is the right choice for one-time decisions (repositioning, entering a new market). Tracking makes sense when a brand wants to monitor the effects of media investments and compare its momentum with competitors. Tracking is more expensive to maintain, but it may be less expensive per decision it enables – provided that the metrics were well defined at the outset.<\/p>\n
A brand image research report becomes useful only when it answers the questions the marketing team asks when planning activities. The report structure should reflect the sequence of these questions rather than the sequence of questionnaire sections:<\/p>\n
A report structured in this way enables marketing teams to formulate specific communications hypotheses and provide the creative agency with material that does not require further interpretation. Brand image ceases to be an abstraction and becomes a set of actionable recommendations – what to strengthen, what to redefine, and what to leave unsaid.<\/p>\n
Brand image research measures associations, attributes (rational and emotional), perceptual positioning, and relationship metrics such as purchase consideration, preference, and loyalty. In practice, a project also includes brand awareness, familiarity with the offering, and competitive maps. The set of metrics is selected for a specific marketing decision – one set for repositioning and another for campaign evaluation.<\/p>\n
Comparison requires defining a competitive set at the research design stage and measuring each brand on the same attributes, using the same scale and a comparable sample. The standard approach includes analysis of brand image profiles, positioning maps (e.g., correspondence analysis), and relative metrics such as share of category associations. Without a common methodology, comparison with competitors’ publicly available data is subject to error.<\/p>\n
In a stable category with limited media investment, measurement every 12-24 months is sufficient. With active communications, dynamic competition, or following a rebrand, quarterly or semiannual tracking is recommended to capture the effects of activities over time. Frequency should reflect the pace of change in the category and the decision horizon the research is intended to support.<\/p>\n