AbstractsBusiness Management & Administration

Optimal media schedules in emerging markets a South African perspective establishing the inherent characteristics that influence return on investment for advertising spend.

by Amy Beck

Institution: University of Pretoria
Year: 2014
Keywords: Branding (Marketing); Retail trade; Marketing  – South Africa; Quantitative research; UCTD
Record ID: 1460880
Full text PDF: http://hdl.handle.net/2263/43983


The effect of advertising efforts on sales is of significant interest for global brands. Recent developments in emerging markets such as South Africa have brought the concept of consumer purchase behaviour in generating sales, under review. New media schedules are required to transition emerging market consumers to purchase products/services through effective marketing media platforms and through consumer brand equity whilst including price sensitivities into the media-mix. This study adds to the current literature by investigating which variables have the most significant influence in promoting and generating sales in emerging markets through the use of various advertising efforts. The primary focus was to establish an optimal marketing media schedule from which advertisers are able to choose a particular marketing media schedule to maximise their respective firms’ sales. This study investigated marketing media platforms, brand perceptions and price sensitivities. These included the influence of internet, television, radio, press and outdoor media platforms, price sensitivities and consumer brand equity in promoting sales within emerging markets. Data to support the relevant influences was gathered through secondary data from Nielsen Holdings N.V. (an American global information and measurement company) and the South African Research Audience Foundation (SAARF). Six washing detergent brands were selected for the study, where a complete data set could be sourced. The most influential variables in determining sales generation was consumer brand equity followed by price sensitivity. This allowed the derivation of a model extension from models identified in previous literature with the derived model including such influential variables by which brands could determine the most favourable marketing mix schedule and thereby allocate budgetary resources where necessary.