Topic
Return on marketing investment
About: Return on marketing investment is a research topic. Over the lifetime, 9774 publications have been published within this topic receiving 358563 citations.
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TL;DR: The authors explored the relationship between selected marketing mix elements and the creation of brand equity and found that frequent price promotions, such as price deals, are related to low brand equity, whereas high advertising spending, high price, good store image, and high distribution intensity are associated with high brand equity.
Abstract: This study explores the relationships between selected marketing mix elements and the creation of brand equity. The authors propose a conceptual framework in which marketing elements are related to the dimensions of brand equity, that is, perceived quality, brand loyalty, and brand associations combined with brand awareness. These dimensions are then related to brand equity. The empirical tests using a structural equation model support the research hypotheses. The results show that frequent price promotions, such as price deals, are related to low brand equity, whereas high advertising spending, high price, good store image, and high distribution intensity are related to high brand equity.
2,981 citations
26 Aug 2001
TL;DR: It is proposed to model also the customer's network value: the expected profit from sales to other customers she may influence to buy, the customers those may influence, and so on recursively, taking advantage of the availability of large relevant databases.
Abstract: One of the major applications of data mining is in helping companies determine which potential customers to market to. If the expected profit from a customer is greater than the cost of marketing to her, the marketing action for that customer is executed. So far, work in this area has considered only the intrinsic value of the customer (i.e, the expected profit from sales to her). We propose to model also the customer's network value: the expected profit from sales to other customers she may influence to buy, the customers those may influence, and so on recursively. Instead of viewing a market as a set of independent entities, we view it as a social network and model it as a Markov random field. We show the advantages of this approach using a social network mined from a collaborative filtering database. Marketing that exploits the network value of customers---also known as viral marketing---can be extremely effective, but is still a black art. Our work can be viewed as a step towards providing a more solid foundation for it, taking advantage of the availability of large relevant databases.
2,886 citations
TL;DR: In this article, the authors synthesize several models for strategic marketing and management of destinations and provide an overview of several techniques widely used and illustrates examples from around the world. But they do not consider the sustainability of local resources.
2,779 citations
TL;DR: In this article, the authors discuss the nature and sometimes negative consequences of the dominating marketing paradigm of today, marketing mix management, and furthermore discuss how modern research into industrial marketing and services marketing as well as customer relationship economics shows that another approach to marketing is required.
2,669 citations
TL;DR: In this paper, the effect of word-of-mouth (WOM) marketing on member growth at an Internet social networking site and compare it with traditional marketing vehicles is studied. But the authors employ a vector autoregressive (VAR) modeling approach.
Abstract: The authors study the effect of word-of-mouth (WOM) marketing on member growth at an Internet social networking site and compare it with traditional marketing vehicles. Because social network sites record the electronic invitations from existing members, outbound WOM can be precisely tracked. Along with traditional marketing, WOM can then be linked to the number of new members subsequently joining the site (sign-ups). Because of the endogeneity among WOM, new sign-ups, and traditional marketing activity, the authors employ a vector autoregressive (VAR) modeling approach. Estimates from the VAR model show that WOM referrals have substantially longer carryover effects than traditional marketing actions and produce substantially higher response elasticities. Based on revenue from advertising impressions served to a new member, the monetary value of a WOM referral can be calculated; this yields an upper-bound estimate for the financial incentives the firm might offer to stimulate WOM.
2,322 citations