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Manufacturers and retailers spend millions of dollars every year on in-store communications. The effectiveness of these dollars depends on whether shoppers notice, pay attention to, and engage with these communications, something that is best determined from eye-tracking data. In this chapter, we utilize mobile eye-tracking data from tens of in-store marketing research studies conducted with hundreds of shoppers to develop six lessons with important implications for effective signage, shelf configuration, and package design. The first three lessons highlight the challenge of being noticed and engaged with in the store, given the narrow spatial window above and below eye level in which consumers look, the very short amount of time they devote to reading a sign or label even when they notice it, and the low probability that they engage with a communication especially if it is not immediately actionable. The last three lessons provide guidance on how marketers can design packages and labels that are more likely to be noticed, read, and included in the shopper’s consideration set, across different product categories.

This chapter aims to demonstrate that different cultures influence tourist decision making. Multi-structural models are used to assess to what extend the cultural traits may influence decision-making styles of tourists. Cultural traits and decision-making styles were conceptualized as multidimensional constructs. The empirical study is supported through data from a sample of individuals visiting Lisbon during the New Year events. The analysis shows significant differences within the country of birth. Furthermore, the study concludes that the most important cultural dimensions in each of the countries lead to different decision-making styles. Although there are geographical and temporal limitations, the present study's findings suggest substantial effects of culture in tourist decision making, and these effects are heterogeneous along different countries. This chapter provides insights into how tourism destinations should position themselves in different cultural contexts. This study contributes to the overall understanding of culture as a driving influence in the way tourists decide to travel. Specifically, this chapter provides empirical evidence of how tourists' behavior varies according to the cultural heterogeneity of countries.

Coffee shops are becoming more aware that brand loyalty can be an effective strategy for securing a competitive edge in business. To supplement current understanding of the importance of coffee shop branding, this study investigates the role of personality traits and congruity in the formation of brand loyalty. This study finds that personality traits have direct effects on congruity and customer satisfaction, the two defining factors of brand loyalty. Overall, our results suggest that the interaction of personality traits, congruity, and satisfaction is essential to the process of influencing coffee shop customers’ brand loyalty.

The current study examines the effectiveness of brand integrations in music videos by taking into account the impact of both brand placement characteristics (i.e., brand prominence, valence of artist–brand relationship) and audience characteristics (i.e., artist connectedness).

A 2 (prominence: prominent vs. subtle) by 2 (valence: positive vs. negative) by 2 (connectedness: high vs. low) between-subjects experimental design is used. Each respondent first watched one music video via YouTube in which one branded product was placed either prominently or subtly. To manipulate the valence of the artist–brand relationship respondents were instructed to read a magazine article that revealed either a positive or negative attitude of the artist toward the placed brand. Two hundred twenty young adults participated in this study.

This study shows that prominent placements appear to be beneficial for the attitude toward the integrated brand when an individual is strongly connected to the artist in the music video, while subtle placements are beneficial both when an individual is weakly or strongly connected to the artist. Further, negative celebrity-brand relationships do not seem to affect brand attitudes in a negative way.

Embedding the brand in a music video gives marketers and advertisers the chance to reach consumers in a new, creative way. But this study shows that the advertiser should pay attention to the way in which the brand is integrated. Further, negative celebrity information does not seem to affect brand attitudes in a negative way. This makes the music video a very interesting medium for advertisers.

The current study contributes to previous research on brand placement by investigating the effectiveness of brand placements in music videos and the role of artist connectedness. In addition, the study is original as it includes valence in the model.

The purpose of this study is to explore how the value of being global brands is experienced differently based upon foreign versus domestic origin of a brand. The conceptual framework is tested on samples from three countries – United States, India, and China. The data are analyzed using partial least squares structural equation modeling. The belief that global brands are of higher quality, more socially responsible, and deliver a sense of belongingness to a global community led to an orientation toward globally available consumption alternatives, or global consumption orientation (GCO). High GCO has been associated with preferences for global brands; however, we find that while this preference indeed extends to global brands based in foreign countries, it does not extend to global brands based in the home country. The study of global brands seldom distinguishes among types of global brands. This research examines global brands based on their foreign versus domestic origin; thus it offers a more nuanced understanding of the boundaries for the value of global brands.

This study examines the empirical relationship between four broad antecedents of brand equity (branding strategy, brand structure, brand positioning and target market) and two separate dimensions of revenue premium: price premium and volume premium. Our modeling framework aims to explain how different antecedents of brand equity influence the realized velocity and margin of branded product sales, key drivers of operating cash flow. Our generalizable empirical analyses are based on a representative dataset of over 6,500 brands, across 200 consumer-packaged goods categories, spanning three years. We find that only 20% of brands command revenue premiums, for which volume premiums are the critical determinant. Branding strategies and brand structure primarily impact volume premium. In contrast, brand positioning has little effect. Target market substantially affects both premiums. Overall, these four elements account for 73% and 69% of the explained variations in price and volume premiums, respectively. This study provides generalizable, important, and novel insights for the theory and practice of brand management regarding price positioning and extending brands into new categories.

In the literature on product branding, significant attention is given to brand equity in the consumer context, but relatively little attention is paid to the application of the concept in the business-to-business (B2B) context. Even less research exists on the role of brand equity in the retailing context. Retailers are often seen as irrelevant to the source of brand value, resulting in manufacturers not targeting retailers to help them build stronger brands. Potential occurs, therefore, for some channel conflict to exist between manufacturers and retailers. On the one hand, retailers tend to focus on building their own, private brands to differentiate themselves from other retail competitors and to increase their power in relation to manufacturer brands. At the same time, most retailers still need to create a good image in the consumer marketplace by selling famous, manufacturer-branded products. In other words, retailers often have to sell famous brands even if they would prefer to sell other brands including their own. Manufacturers tend to focus their brand-building efforts on the consumer market to entice consumers to insist that retailers stock their brands, rather than placing any real emphasis on building a strong and positive brand relationship with the retailer directly.

The growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility – if only the model outputs are interpretable enough to earn the trust of consumers and buy-in from companies. To build a foundation for understanding the importance of model interpretation in image analytics, the first section of this article reviews the existing work along three dimensions: the data type (image data vs. video data), model structure (feature-level vs. pixel-level), and primary application (to increase company profits vs. to maximize consumer utility). The second section discusses how the “black box” of pixel-level models leads to legal and ethical problems, but interpretability can be improved with eXplainable Artificial Intelligence (XAI) methods. We classify and review XAI methods based on transparency, the scope of interpretability (global vs. local), and model specificity (model-specific vs. model-agnostic); in marketing research, transparent, local, and model-agnostic methods are most common. The third section proposes three promising future research directions related to model interpretability: the economic value of augmented reality in 3D product tracking and visualization, field experiments to compare human judgments with the outputs of machine vision systems, and XAI methods to test strategies for mitigating algorithmic bias.

This chapter presents a typology, a comprehensive overview and a deconstruction of food counterfeits. In this chapter, common targets, defined by type of commodity, supply chain (node) and location, are identified based on incident reports and vulnerability assessments in global food supply chains. As a second step, the effects of counterfeiting on brand owners, consumers and governments are detailed, which is followed by the characterisation of the groups of buyers and suppliers. To comprehend the counterfeiting process and its most important factors in greater detail, counterfeiting is disassembled into and analysed for existing motivational drivers, opportunities and control measures. Lastly, various strategies are proposed to deter counterfeiting and disrupt these practices.