Understanding consumers’ associations with brands is at the core of brand management. This is challenging since consumers can associate a brand with any number of objects, emotions, activities, sceneries, and concepts. This paper presents an elicitation platform, analysis methodology and results on consumer associations of US national brands. Our elicitation is direct, unaided, scalable, quantitative, and uses the power of visuals to depict a detailed representation of respondents’ relationships with a brand.
The proposed platform, Brand Visual Elicitation Platform (B-VEP), allows firms to collect online brand collages created by respondents and analyze them quantitatively to elicit brand associations. The authors use the platform to collect 4,743 collages for 303 large US brands from 1,851 respondents. Using unsupervised machine-learning and image-processing approaches, they analyze the collages and obtain a detailed set of associations for each brand, including objects (animals, food, people), constructs (abstract-art, horror, delicious, famous, fantasy), occupations (musician, bodybuilding, baking), nature (beach, misty, snowscape, wildlife), and institutions (corporate, army, school).
The authors demonstrate applications for brand management: obtaining prototypical brand visuals; relating associations to brand personality and equity; identifying favorable associations per category; exploring brand uniqueness through differentiating associations; and identifying commonalities between brands across categories for potential collaborations.