Abstract:The authors review more than 250 journal articles and books to establish what is and should be known about how advertising affects the consumer-how it works. They first deduce a taxonomy of models, discuss the theoretical principles of each class of models, and summarize their empirical findings. They then synthesize five generalizations about how advertising works and propose directions for further research. Advertising effects are classified into intermediate effects, for example, on consumer beliefs and att… Show more
“…We specifically focus on four marketing signals: price, advertising expenditure, warranty, and distribution network. An increase in price usually hampers performance (e.g., Tellis 1988) whereas the impact of an increase in advertising expenditures is expected to be positive on a brand's performance (e.g., Assmus et al 1984;Vakratsas and Ambler 1999). Furthermore, an increase in warranty offering or expansion in the distribution network contributes positively to the value proposition of a brand and, thus, is expected to affect its performance positively (Padmanabhan and Rao 1993;Purohit 1997).…”
Section: Relationship Between Quality Perception Gap and Brand Performentioning
A quality perception gap, defined as the difference between perceived and objective quality, indicates either consumers' overappreciation or underappreciation of product or brand quality and can have critical effects on performance. The purpose of this research is to examine the impact of a quality perception gap on brand performance and its moderating role in the relationship between marketing-mix signals and performance. Analyses based on a longitudinal dataset from the US automotive industry reveal that the relationship between the quality perception gap and brand performance has an inverted U-shape. Findings also demonstrate that, except for advertising, the impact of marketing signals on performance is higher when the quality of a brand is perceived as higher than its actual quality. Finally, over an 18-year period, the average gap between perceived and objective quality demonstrates a decreasing trend, indicating that the nature of demand in the automotive industry has become more utilitarian.
“…We specifically focus on four marketing signals: price, advertising expenditure, warranty, and distribution network. An increase in price usually hampers performance (e.g., Tellis 1988) whereas the impact of an increase in advertising expenditures is expected to be positive on a brand's performance (e.g., Assmus et al 1984;Vakratsas and Ambler 1999). Furthermore, an increase in warranty offering or expansion in the distribution network contributes positively to the value proposition of a brand and, thus, is expected to affect its performance positively (Padmanabhan and Rao 1993;Purohit 1997).…”
Section: Relationship Between Quality Perception Gap and Brand Performentioning
A quality perception gap, defined as the difference between perceived and objective quality, indicates either consumers' overappreciation or underappreciation of product or brand quality and can have critical effects on performance. The purpose of this research is to examine the impact of a quality perception gap on brand performance and its moderating role in the relationship between marketing-mix signals and performance. Analyses based on a longitudinal dataset from the US automotive industry reveal that the relationship between the quality perception gap and brand performance has an inverted U-shape. Findings also demonstrate that, except for advertising, the impact of marketing signals on performance is higher when the quality of a brand is perceived as higher than its actual quality. Finally, over an 18-year period, the average gap between perceived and objective quality demonstrates a decreasing trend, indicating that the nature of demand in the automotive industry has become more utilitarian.
“…The first and most enduring of these is AIDA: Awareness → Interest → Desire → Action (Strong, 1925). These theories contend that sales promotions are capable of eliciting a desire for a particular product based on a 'think, feel and do' sequence of events in consumer processing of promotional messages (Vakratsas and Ambler, 1999). Thus, the 'persuasion' school advances the theory that it is possible to manipulate consumers into purchase via the use of a variety of marketing communications tools, including sales promotion.…”
Section: Persuasion Theorymentioning
confidence: 99%
“…Whilst persuasion theories are founded on the 'think, feel and do' sequence of events in consumer processing of promotional messages, the salience or 'weak' theories offer an alternative sequence: namely, 'think, do and feel' (Vakratsas and Ambler, 1999;Jones, 1990). This theory is derived from the observation that consumers develop attitudes towards products after they have had experience of using them.…”
᭹In recent years the UK has seen a proliferation of cause-related marketing (CRM) campaigns amongst fast moving consumer goods (FMCGs).These campaigns present a minefield of choices facing brand managers, the most critical being which campaign design will meet the required objectives.This paper presents two alternative approaches to CRM, namely the persuasion and salience approaches, by which campaign objectives may be achieved.
᭹The persuasion approach is characterized by the use of CRM as a sales promotion tool to build brand share and win consumers.The salience approach, however, seeks to utilize CRM in order to defend brand share by increasing brand meaning amongst existing consumers and encouraging brand trial amongst non-users.
᭹The paper explores both approaches to CRM throughout the campaign planning process and concludes that the salience route should be favoured over the persuasion alternative which threatens to undermine what is a potentially powerful tool for FMCG brand managers.
“…In the literature, many studies, using aggregated data, have explored whether or not advertising threshold effects exist, e.g., Lambin (1976), Simon and Arndt (1980), Bemmaor (1984), Bronnenberg (1998), Steiner (1987), Vakratsas and Ambler (1999), Hanssen et al (2001), and Vakratsas et al (2004). Recently, Dube et al (2005) proposed equilibrium models and discussed advertising threshold effects using aggregate data.…”
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