Year: 2012
Type: dissertation
Abstract: ENGLISH ABSTRACT: Over the past two decades company performance has become the mantra of corporate theory. It follows that marketers have recently become understandably preoccupied with measuring the performance of marketing activity. In fact, the pressure for financial accountability has led to widespread concern over the role of the marketing function within a company. Some go as far as contemplating the demise of marketing professionals unless marketers develop an understanding of the marketing-finance interface and are able to enter into a dialogue with top management regarding the value that marketing adds to the company. Modern financial theory prescribes that the primary financial objective of any company should be shareholder value maximisation. Value based management (VBM) involves the appropriate allocation of scarce resources using prioritisation and cost-benefit analyses of different strategies to ensure that managers remain focused on shareholder value creation. The VBM philosophy embraces four fundamental driving forces impacting on the creation of value, the first of which is the profitable growth of sales. Since marketers are the custodians of brand sales the recognition of sales as a value driver places marketing at the centre of the value culture. The role of the marketing function is to create customer value that will translate into marketing assets (brand equity) and by doing so serves to add value to a company. The brand value chain summarises the process through which marketers can create value by carefully investing in various marketing tactics (or expenditures). These expenditures are encapsulated by the marketing mix. Simply, the marketing mix can be described as the sum of all expenditures intended to build brand equity and can be classified into four components known as the 4Ps (product, price, place and promotion). Concern has been raised that marketers focus too much attention on the stages in the brand value chain where marketing strategy is formulated and too little attention on the latter stages where the strategy is linked back to the value created through the implementation thereof. Despite the plethora of marketing metrics available the key to measuring the impact of marketing activity lies in maintaining a balance between non-financial, efficiency metrics and financial effectiveness metrics. To this end, there is a need for the development of aggregate-level models that link marketing tactics (expenditures) to to financial impact (e.g. sales) in order to communicate the value created by marketing. As a first step toward the objective of developing such models, it is important to understand the nature of the relationship between marketing expenditures (in terms of the 4Ps) and sales). Therefore, the primary objective in this study was to establish whether there is a relationship between the expenditures of different marketing components (4Ps) and sales. To this end, the proposition formulated elucidated that the variance in sales of a product is attributable to fluctuations in marketing expenditures. A meta analysis study was undertaken and two South African fast moving consumer goods brands’ financial data were investigated for the period of July 2001 to the end of June 2005. The marketing expenditures incurred for each of the respective brands were dissected and allocated according to the 4Ps of marketing. The metohod applied to investigate the relationship between marketing expenditures and sales originated through the adoption of multiple regression analysis between the indepent variables (marketing expenditures) and the dependent variable (sales). However, due to the fact that the data were collected over time it was anticipated that the time-related characteristics in the data might have offended inherent assumptions on which multiple regression analysis is based. Therefore, a time series regression analysis was subsequently adopted to account for time-related characteristics such as trend or seasonality. Counteracting dummy variables were included in the regression analysis to better understand the effect of trend and seasonality. In the case of Brand A, it was necessary to include dummy variables to counteract the effect of trend in the regression analysis., the results revealed that there is a statistically significant relationship between the expenditures of different marketing components (4Ps) and sales. Only distribution expenditures and price (along with trend) explained unique variance in sales. In the case of Brand B, it was necessary to include dummy variables for both trend and seasonality before the model was suitable for analysis. Once again, the results revealed a statistically significant relationship between the expenditures of different marketing components (4Ps) and sales. However for Brand B, only production expenditures (along with trend and seasonality) explained unique variance in sales. Therefore, in conclusion of the results found there were important findings to note. Firstly, when investigating data colllected over time it is imperative to understand the impact of time-related characteristics in the data and subsequently adopt the appropriate model to investigate relationships in the data. Secondly, despite a statistically significant relationship detected between marketing expenditures and sales the different components of the 4Ps have varying prominence for different brands and the appropriate allocation of resource will depend on the nature of the product and the strategy in mind.
Author: Adelia Schmidt
Language: English
Subfield: Marketing
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2136853080