Journal Article10.1287/MKSC.1070.0327
Research Note---Competitive Brand Salience
TL;DR: It is shown that the salience of brands has a pervasive effect on search performance, and is determined by two key components: the bottom-up component is due to in-store activity and package design, and the top-down component isdue to out-of-store marketing activities such as advertising.
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Abstract: Brand salience---the extent to which a brand visually stands out from its competitors---is vital in competing on the shelf, yet is not easy to achieve in practice. This study proposes a methodology to determine the competitive salience of brands, based on a model of visual search and eye-movement recordings collected during a brand search experiment. We estimate brand salience at the point of purchase, based on perceptual features color, luminance, edges and how these are influenced by consumers' search goals. We show that the salience of brands has a pervasive effect on search performance, and is determined by two key components: The bottom-up component is due to in-store activity and package design. The top-down component is due to out-of-store marketing activities such as advertising. We show that about one-third of salience on the shelf is due to out-of-store and two-thirds due to in-store marketing. The proposed methodology for competitive salience analysis exposes the optimal visual differentiation level of a brand versus its competitors, and of each SKU versus the other SKUs of the same brand. The model of the visual search process and methodology for competitive salience analysis enable diagnostic analyses of the current levels of visual differentiation of brands and SKUs at the point of purchase, and provide directions for increasing these.
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Citations
Does In-Store Marketing Work? Effects of the Number and Position of Shelf Facings on Brand Attention and Evaluation at the Point of Purchase:
TL;DR: In this article, the authors examine the interplay between in-store and out-of-store factors on consumer attention to and evaluation of brands displayed on supermarket shelves and find that the number of facings has a strong impact on evaluation that is entirely mediated by its effect on visual attention.
Does In-Store Marketing Work? Effects of the Number and Position of Shelf Facings on Brand Attention and Evaluation at the Point of Purchase
TL;DR: In this paper, the authors examined the interplay between in-store and out-of-store factors on consumer attention to and evaluation of brands displayed on supermarket shelves and found that the number of facings obtained has a strong impact on evaluation that is entirely mediated by its effect on visual attention.
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Branding the brain: A critical review and outlook
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Tough package, strong taste: The influence of packaging design on taste impressions and product evaluations
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The Role of Big Data and Predictive Analytics in Retailing
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References
•Book
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
David Marr
- 01 Jan 1982
TL;DR: Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field of visual perception as discussed by the authors, where the process of vision constructs a set of representations, starting from a description of the input image and culminating with three-dimensional objects in the surrounding environment, a central theme and one that has had farreaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis.
5.5K
Computational modelling of visual attention.
Laurent Itti,Christof Koch +1 more
TL;DR: Five important trends have emerged from recent work on computational models of focal visual attention that emphasize the bottom-up, image-based control of attentional deployment, providing a framework for a computational and neurobiological understanding of visual attention.
Shifts in selective visual attention: towards the underlying neural circuitry.
Christof Koch,Shimon Ullman +1 more
TL;DR: This study addresses the question of how simple networks of neuron-like elements can account for a variety of phenomena associated with this shift of selective visual attention and suggests a possible role for the extensive back-projection from the visual cortex to the LGN.
4.2K
•Journal Article
Computer vision
TL;DR: How the field of computer (and robot) vision has evolved, particularly over the past 20 years, is described, and its central methodological paradigms are introduced.
4K