Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-06-29T13:37:41Z No. of bitstreams: 1 Bruna Rorato_.pdf: 951524 bytes, checksum: 8291c1accc5a03acfbf484a81fdf865a (MD5) / Made available in DSpace on 2016-06-29T13:37:41Z (GMT). No. of bitstreams: 1 Bruna Rorato_.pdf: 951524 bytes, checksum: 8291c1accc5a03acfbf484a81fdf865a (MD5) Previous issue date: 2016-03-31 / UNISINOS - Universidade do Vale do Rio dos Sinos / Saber conduzir a base de clientes de maneira a tornar eficiente o investimento em marketing é um fator importante no processo estratégico das empresas hoje em dia. As empresas podem obter diversos ganhos ao adotar um modelo de gestão baseado na métrica do valor do cliente, tanto em fatores econômicos quanto em fatores que abordam o retorno do investimento em marketing. O objetivo geral deste estudo é identificar nas empresas pesquisadas os principais fatores que limitam a utilização da métrica valor do cliente nos processos estratégicos. O estudo buscou avaliar por meio da revisão bibliográfica e empresas pesquisadas como a métrica do valor do cliente está inserida no dia a dia das companhias analisadas, quais são os indicadores presentes nos processos e como os setores financeiro e marketing se relacionam quando o assunto em questão é “cliente”. Os temas valor do cliente (CE) e valor do cliente ao longo da vida (CLV) ainda apresentam diversas lacunas como a relação das estratégias de marketing interligadas com o retorno para a empresa, a interpretação dos investidores com referência as métricas de marketing e a real eficiência das estratégias de marketing. A análise sobre os fatores limitadores da utilização da métrica do valor cliente, bem como os indicadores utilizados pelas organizações, foi embasada através da coleta de dados qualitativa por meio de entrevistas, realizadas em três empresas pré selecionadas, com a alta gerência comercial, financeira e de marketing de cada, totalizando nove entrevistas e uma entrevista de apoio com um consultor financeiro especializado em valor de empresas. Como principais resultados da pesquisa aponta-se: falta de foco no valor do cliente na empresa, orientação estratégica somente no incremento de receita por meio de novos clientes, cliente visto como ativo intangível no processo estratégico e falta de conhecimento das métricas de marketing. Dentre estes aspectos, destacam-se os fatores limitadores decorrentes destas causas: o fator tecnológico, o fator cultural e o fator comunicação eficiente entre as áreas. / Knowing how to conduct customer base in order to make efficient marketing investment is an important factor in the strategic process of the companies today. Thecompanies can get many gains by adopting a management model based on metrics of customer equity, both on economic factors as factors that address the return on marketing investment. The aim of this study is to identify the companies surveyed the main factors that limit the use of measuring customers equity in strategic processes. The study evaluated through literature review and companies surveyed as the metric of customer equity is included on the day-to-day of the analyzed companies, which are the indicators present in the process and how the financial sectors and marketing relate when the subject matter is "customer". The Customer Equity issues (CE) and Customer Lifetime Value (CLV) still have several shortcomings such as relationship marketing strategies linked with the return to the company, the interpretation of investors with reference marketing metrics and the actual efficiency of strategies marketing. The analysis of the limiting factors of the use of customer equity metrics and indicators used by organizations, was based by qualitative data collection through interviews conducted in three pre selected companies with high commercial, financial and marketing management, totaling nine interviews and a supporting interview with an expert financial advisor in value companies. The main results on this research is pointed out: lack of focus on customer equity in the company, strategic guidance only on revenue growth through new customers, customer viewed as an intangible asset in the strategic process and lack of knowledge of marketing metrics. Among these aspects, it highlights the technological and cultural factor and efficient communication between the areas.

Submitted by Henrique Campos (henriquedecamposjunior@gmail.com) on 2014-03-17T15:33:48Z No. of bitstreams: 1 Percepção de Adoção de Instrumentos de Mensuração de Resultados de Marketing e Maturidade da Indústria 20140310 - escalas de cinza.pdf: 2361856 bytes, checksum: 9c9fe2d336591f53d373cf288b704cbe (MD5) / Rejected by PAMELA BELTRAN TONSA (pamela.tonsa@fgv.br), reason: Prezado Henrique, Segundo as normas da ABNT não teria a quinta pagina Por gentileza retirar. A dedicatória precisa ser no meio da folha no cabeçario e não no rodapé. Qualquer duvida estou a disposição. Pâmela Tonsa - 3799-7852 on 2014-03-17T16:54:06Z (GMT) / Submitted by Henrique Campos (henriquedecamposjunior@gmail.com) on 2014-03-17T17:08:51Z No. of bitstreams: 1 Percepção de Adoção de Instrumentos de Mensuração de Resultados de Marketing e Maturidade da Indústria 20140317 - escalas de cinza.pdf: 2366488 bytes, checksum: cd060d2b3a76476c02d78f3e1d7d39e2 (MD5) / Approved for entry into archive by PAMELA BELTRAN TONSA (pamela.tonsa@fgv.br) on 2014-03-17T17:09:47Z (GMT) No. of bitstreams: 1 Percepção de Adoção de Instrumentos de Mensuração de Resultados de Marketing e Maturidade da Indústria 20140317 - escalas de cinza.pdf: 2366488 bytes, checksum: cd060d2b3a76476c02d78f3e1d7d39e2 (MD5) / Made available in DSpace on 2014-03-17T18:10:28Z (GMT). No. of bitstreams: 1 Percepção de Adoção de Instrumentos de Mensuração de Resultados de Marketing e Maturidade da Indústria 20140317 - escalas de cinza.pdf: 2366488 bytes, checksum: cd060d2b3a76476c02d78f3e1d7d39e2 (MD5) Previous issue date: 2014-02-24 / This thesis studies the Perceived Adoption of Marketing Results Measuring Instruments (PAIMRM) and its relation to Industry Maturity (MI) to which companies belong. Its main objectives are (1) to develop and validate a scale of PAIMRM, and (2) to test a theoretical model that relates PAIMRM with MI. These objectives also unfold into secondary objectives, which are: (A) discuss the implications of this theoretical model in different stages of MI and (B) test a similar theoretical model that relates PAIMRM and Company Maturity (ME). For this 385 questionnaires were collected from Marketing executives in various companies and different waves of collection. First a scale of PAIMRM with 16 items and 6 dimensions was developed and validated by a procedure that included seven steps: (1) Conceptual Definition of the Construct, (2) Generation of Items, (3) Content Validation, (4) Definition Dimensions, (5) Data Analysis, (6) nomological validity, (7) Known Groups Validity . In step 6, two hypotheses were tested and supported by two structural equation models. The first model supported the relationship between PAIMRM and MI (H1), with good model fit to the data, while the latter supported the relationship between PAIMRM and ME (H1.b) with reasonable model fit to the data. In step 7, three hypotheses were tested using analysis of differences between means and analysis of categorical variables, to three known groups: low MI , medium MI and high MI. It is common in industries with low MI concerns for the lack of infrastructure, technology and market definition, explaining the expectation that PAIMRM in nonmature industries is low. At intermediate MI stages, the companies in an industry underwent ‘natural selection’ and some of the issues that define the business model 12 were answered, but not systematic nor assimilated by managers, so that the time and effort taken to evaluate corporate performance is greater, resulting in increased PAIMRM, explaining the expectation that PAIMRM is higher in mature industries. Finally, in subsequent stages of MI, consolidation of business models, assimilation of knowledge gained from previously acquired information and the relative decline of changes in the industry environment, reduce the effort to track the business, it is supposed that PAIMRM is low in mature industry. The hypothesis that PAIMRM is low when MI is low (H2.a) was supported by both tests, while the hypothesis that PAIMRM is high when MI is medium (H2.b) and PAIMRM is low when MI is high (H2.c) were not supported. Managerial implications include specific decisions to adopt instruments for measuring marketing results for each MI stage, since such decisions are influenced by both the maturity of the industry in which the company operates and the company's own maturity. / Nesta tese estuda-se a Percepção de Adoção de Instrumentos de Mensuração de Resultados de Marketing (PAIMRM) e a sua relação com a Maturidade da Indústria (MI) à qual as empresas pertencem. Seus objetivos gerais são (1) desenvolver e validar uma escala de PAIMRM, e (2) testar um modelo teórico que relacione PAIMRM com MI. Estes objetivos também se desdobram em objetivos secundários: (A) discutir as implicações deste modelo teórico em diferentes estágios de MI e (B) testar um modelo teórico semelhante que relacione PAIMRM e Maturidade da Empresa (ME). Para isto foram utilizados 419 questionários coletados junto a executivos de Marketing de diversas empresas e em diferentes ondas de coleta. Primeiramente uma escala de PAIMRM com 16 itens e 6 dimensões foi desenvolvida e validada utilizando um procedimento que incluiu sete passos: (1) Definição Conceitual do Construto; (2) Geração dos Itens; (3) Validação de Conteúdo; (4) Definição de Dimensões; (5) Análise de Dados; (6) Validade Nomológica; (7) Validade de Grupos Conhecidos. No passo 6, duas hipóteses foram testadas e suportadas por dois modelos de equação estrutural. O primeiro modelo suportou a relação entre PAIMRM e MI (H1), com boa adequação do modelo aos dados, enquanto o segundo suportou a relação entre PAIMRM e ME (H1.b), com razoável adequação do modelo aos dados. No passo 7, três hipóteses foram testadas pela análise de diferenças entre médias e análise de variáveis categorizadas, para três grupos conhecidos: MI baixo, MI médio e MI alto. É comum em indústrias com MI baixo a preocupação pela falta de estrutura, tecnologia e definição de mercado, explicando a expectativa de que a PAIMRM em indústrias não maduras seja baixa. Em estágios intermediários, as empresas que compõem uma indústria passaram por uma ‘seleção natural’ e algumas das questões que definem o modelo de negócios foram respondidas, mas não sistematizada e nem assimilada pelos gestores, fazendo com que o esforço dispendido para avaliar o desempenho empresarial seja maior, o que resultaria em aumento da PAIMRM, explicando a expectativa de que a PAIMRM seja alta em indústrias medianamente maduras. Finalmente, em estágios subsequentes de MI, a consolidação dos modelos de negócios, assimilação de conhecimento advindo de informações anteriormente adquiridas e a relativa diminuição de alterações no ambiente da indústria, reduzem a necessidade de esforço para acompanhar os negócios, supõe-se que PAIMRM seja baixo em indústria maduras. A hipótese de PAIMRM baixo quando MI for baixo (H2.a) foi suportada pelos dois testes, enquanto a hipótese de PAIMRM alto quando MI for médio (H2.b) e PAIMRM baixo quando MI for alto (H2.c) não foram suportadas. Implicações gerenciais incluem específicas decisões de adoção de instrumentos de mensuração de resultados de marketing para cada estágio de MI, uma vez que tais decisões são influenciadas tanto pela maturidade da indústria na qual a empresa está inserida quanto pela própria maturidade da empresa.

Submitted by Estagiário SPT BMHS (spt@fgv.br) on 2011-12-02T13:35:13Z No. of bitstreams: 1 1417128.pdf: 6574760 bytes, checksum: d314aeceb6ab5dd55e2db8a3362d4134 (MD5) / Approved for entry into archive by Estagiário SPT BMHS (spt@fgv.br) on 2011-12-02T13:47:02Z (GMT) No. of bitstreams: 1 1417128.pdf: 6574760 bytes, checksum: d314aeceb6ab5dd55e2db8a3362d4134 (MD5) / Approved for entry into archive by Estagiário SPT BMHS (spt@fgv.br) on 2011-12-02T13:53:47Z (GMT) No. of bitstreams: 1 1417128.pdf: 6574760 bytes, checksum: d314aeceb6ab5dd55e2db8a3362d4134 (MD5) / Made available in DSpace on 2011-12-02T13:53:56Z (GMT). No. of bitstreams: 1 1417128.pdf: 6574760 bytes, checksum: d314aeceb6ab5dd55e2db8a3362d4134 (MD5) Previous issue date: 2010 / Society has evolved, the offer for a college education has increased and private institutions of higher education (IES) have invested in marketing activity to stand out from their competitors to try to obtain large quantities of students registered. This fact has been responsible for having provoked over the past ten years, relevant changes and adaptations in the management of this market segment and the professionalization of the management of marketing of IES's in Brazil has become the source of research in the study of market patterns. The present study has as its objective, the identification in literature pertaining to patterns in marketing applied to educational services, the levei of knowledge of the management of institutions of higher learning concerning this measurement and how they are being utilized and developed. The methodology used in this study of an exploratory nature was a qualitative study through extensive interviews, done with eight marketing professionals of private IES institutions, classified as small, medium or large in the city of Curitiba, PR. It was concluded that the empirical proof exists before the advance of education but this proof necessitates the use of concrete methods and techniques capable of identifying the results of marketing patterns on the institutions. And it was verified that these activities started to be practiced in the past 5 years by the majority of institutions researched and the tendency is that there exists a greater market development in the sector of institutions of higher learning. Future research is being discussed concerning marketing theory. / A sociedade evoluiu, a oferta à educação superior aumentou e as instituições de ensino superior (IES) privadas passaram a investir em ações de marketing para se destacarem de seus concorrentes e tentarem obter maior quantidade de alunos matriculados. Esse fato foi responsável por provocar, nos últimos 10 anos, mudanças relevantes e adaptações nas gestões deste segmento, e a profissionalização da gestão de marketing nas IES no Brasil tem sido fonte de pesquisa nos estudos de métricas de marketing. O presente estudo tem como objetivo identificar na literatura métricas em marketing aplicadas aos serviços educacionais, o nível de conhecimento dos gestores de instituições de ensino sobre estas métricas e como estão sendo utilizadas e desenvolvidas. A metodologia utilizada neste estudo de natureza exploratória foi a pesquisa qualitativa por meio de entrevista em profundidade, realizada com oito profissionais dirigentes de marketing de IES privadas, classificadas em pequeno, médio e grande porte, da cidade de Curitiba - PR. Concluiu-se que o conhecimento empírico existe antes do avanço da educação, mas se fazem necessários o uso de métodos concretos e técnicos capazes de identificar os resultados das ações mercadológicas nas instituições. E verificou-se que essas ações começaram a ser praticadas nos últimos cinco anos pela maioria das instituições pesquisadas e a tendência é que exista maior desenvolvimento do mercado no setor da educação superior. Pesquisas futuras são discutidas à luz da teoria de marketing.

Ao tomar decisões de marketing mix, o gestor de marketing tem a sua disposição uma grande quantidade de métricas para definição de suas metas e avaliação dos impactos das atividades de marketing. O presente estudo determina as variáveis condutoras do uso gerencial de métricas durante a tomada de decisões de marketing mix, com base no modelo de Mintz e Currim (2013). A análise de 245 atividades de marketing mix reportadas por 163 gestores de médias e grandes empresas brasileiras demonstra que a estratégia da empresa, a orientação para métricas e a accountability financeira do profissional de marketing tem um maior impacto sobre o uso de métricas financeiras e de marketing do que as características da empresa e do ambiente de atuação. Ademais, o uso de métricas financeiras é também influenciado pelas características gerenciais do gestor de marketing. Estes resultados contrariam os achados de Mintz e Currim (2013), que indicam uma forte influência das características da empresa e do ambiente no qual o gestor atua sobre o uso de métricas. Do ponto de vista teórico, os achados indicam que a teoria da agência e a teoria da homofilia explicam melhor o uso gerencial de métricas do que a teoria contingencial. As decisões reportadas também demonstram uma forte associação entre o uso de métricas de marketing e a performance das atividades de marketing mix, mas uma associação muito fraca entre esta performance e o uso de medidas financeiras. Por fim, apesar da grande cobrança para que os executivos de marketing associem suas atividades aos resultados financeiros da empresa (SRIVASTAVA; SHERVANI; FAHEY, 1998; MSI, 1998, 2000, 2002, 2004, 2006, 2008), os dados indicam uso restrito de métricas financeiras como Payback, Valor Presente do Fluxo de Caixa e Taxa Interna de Retorno e um amplo uso de métricas de Marketing como Participação de Mercado, Satisfação do Cliente e Qualidade Percebida. / While making a marketing mix decision, marketers have a large number of metrics to setting goals and to evaluate the impacts of their marketing activities. This study determines the impact of environmental, firm, and managerial characteristics on metric use in marketing mix decision, based on the Mintz and Currim’s (2013) model. The analysis of 245 marketing-mix activities, which were reported by 163 Brazilian managers, demonstrates that firm strategy, metric orientation, and marketing financial accountability have a stronger impact on marketing and financial metric use than firm and environmental characteristics do. Furthermore, managerial characteristics have a strong impact on financial metric use. These results are different from Mintz and Currim’s findings (2013). The authors indicate firm and environmental characteristics are the most important drivers of marketing and financial metric use. From a theoretical perspective, the findings indicate that agency theory and homophily theory are more useful in explaining the managerial metric use in marketing mix activities than the contingency theory is. The analysis also reveals that marketing metric use is positively associated with marketing-mix performance, but the financial metric use is not. Finally, despite the great pressure for linking marketing-mix activities with financial metrics (SRIVASTAVA; SHERVANI; FAHEY; 1998; MSI, 1998, 2000, 2002, 2004, 2006, 2008), the reported activities indicate not just a limited use of financial metrics such as Payback, Cash Flow, and Internal Rate of Return, but also widespread use of marketing metrics such as Market Share, Customer Satisfaction, and Perceived Quality.

Ao tomar decisões de marketing mix, o gestor de marketing tem a sua disposição uma grande quantidade de métricas para definição de suas metas e avaliação dos impactos das atividades de marketing. O presente estudo determina as variáveis condutoras do uso gerencial de métricas durante a tomada de decisões de marketing mix, com base no modelo de Mintz e Currim (2013). A análise de 245 atividades de marketing mix reportadas por 163 gestores de médias e grandes empresas brasileiras demonstra que a estratégia da empresa, a orientação para métricas e a accountability financeira do profissional de marketing tem um maior impacto sobre o uso de métricas financeiras e de marketing do que as características da empresa e do ambiente de atuação. Ademais, o uso de métricas financeiras é também influenciado pelas características gerenciais do gestor de marketing. Estes resultados contrariam os achados de Mintz e Currim (2013), que indicam uma forte influência das características da empresa e do ambiente no qual o gestor atua sobre o uso de métricas. Do ponto de vista teórico, os achados indicam que a teoria da agência e a teoria da homofilia explicam melhor o uso gerencial de métricas do que a teoria contingencial. As decisões reportadas também demonstram uma forte associação entre o uso de métricas de marketing e a performance das atividades de marketing mix, mas uma associação muito fraca entre esta performance e o uso de medidas financeiras. Por fim, apesar da grande cobrança para que os executivos de marketing associem suas atividades aos resultados financeiros da empresa (SRIVASTAVA; SHERVANI; FAHEY, 1998; MSI, 1998, 2000, 2002, 2004, 2006, 2008), os dados indicam uso restrito de métricas financeiras como Payback, Valor Presente do Fluxo de Caixa e Taxa Interna de Retorno e um amplo uso de métricas de Marketing como Participação de Mercado, Satisfação do Cliente e Qualidade Percebida. / While making a marketing mix decision, marketers have a large number of metrics to setting goals and to evaluate the impacts of their marketing activities. This study determines the impact of environmental, firm, and managerial characteristics on metric use in marketing mix decision, based on the Mintz and Currim’s (2013) model. The analysis of 245 marketing-mix activities, which were reported by 163 Brazilian managers, demonstrates that firm strategy, metric orientation, and marketing financial accountability have a stronger impact on marketing and financial metric use than firm and environmental characteristics do. Furthermore, managerial characteristics have a strong impact on financial metric use. These results are different from Mintz and Currim’s findings (2013). The authors indicate firm and environmental characteristics are the most important drivers of marketing and financial metric use. From a theoretical perspective, the findings indicate that agency theory and homophily theory are more useful in explaining the managerial metric use in marketing mix activities than the contingency theory is. The analysis also reveals that marketing metric use is positively associated with marketing-mix performance, but the financial metric use is not. Finally, despite the great pressure for linking marketing-mix activities with financial metrics (SRIVASTAVA; SHERVANI; FAHEY; 1998; MSI, 1998, 2000, 2002, 2004, 2006, 2008), the reported activities indicate not just a limited use of financial metrics such as Payback, Cash Flow, and Internal Rate of Return, but also widespread use of marketing metrics such as Market Share, Customer Satisfaction, and Perceived Quality.

Ao tomar decisões de marketing mix, o gestor de marketing tem a sua disposição uma grande quantidade de métricas para definição de suas metas e avaliação dos impactos das atividades de marketing. O presente estudo determina as variáveis condutoras do uso gerencial de métricas durante a tomada de decisões de marketing mix, com base no modelo de Mintz e Currim (2013). A análise de 245 atividades de marketing mix reportadas por 163 gestores de médias e grandes empresas brasileiras demonstra que a estratégia da empresa, a orientação para métricas e a accountability financeira do profissional de marketing tem um maior impacto sobre o uso de métricas financeiras e de marketing do que as características da empresa e do ambiente de atuação. Ademais, o uso de métricas financeiras é também influenciado pelas características gerenciais do gestor de marketing. Estes resultados contrariam os achados de Mintz e Currim (2013), que indicam uma forte influência das características da empresa e do ambiente no qual o gestor atua sobre o uso de métricas. Do ponto de vista teórico, os achados indicam que a teoria da agência e a teoria da homofilia explicam melhor o uso gerencial de métricas do que a teoria contingencial. As decisões reportadas também demonstram uma forte associação entre o uso de métricas de marketing e a performance das atividades de marketing mix, mas uma associação muito fraca entre esta performance e o uso de medidas financeiras. Por fim, apesar da grande cobrança para que os executivos de marketing associem suas atividades aos resultados financeiros da empresa (SRIVASTAVA; SHERVANI; FAHEY, 1998; MSI, 1998, 2000, 2002, 2004, 2006, 2008), os dados indicam uso restrito de métricas financeiras como Payback, Valor Presente do Fluxo de Caixa e Taxa Interna de Retorno e um amplo uso de métricas de Marketing como Participação de Mercado, Satisfação do Cliente e Qualidade Percebida. / While making a marketing mix decision, marketers have a large number of metrics to setting goals and to evaluate the impacts of their marketing activities. This study determines the impact of environmental, firm, and managerial characteristics on metric use in marketing mix decision, based on the Mintz and Currim’s (2013) model. The analysis of 245 marketing-mix activities, which were reported by 163 Brazilian managers, demonstrates that firm strategy, metric orientation, and marketing financial accountability have a stronger impact on marketing and financial metric use than firm and environmental characteristics do. Furthermore, managerial characteristics have a strong impact on financial metric use. These results are different from Mintz and Currim’s findings (2013). The authors indicate firm and environmental characteristics are the most important drivers of marketing and financial metric use. From a theoretical perspective, the findings indicate that agency theory and homophily theory are more useful in explaining the managerial metric use in marketing mix activities than the contingency theory is. The analysis also reveals that marketing metric use is positively associated with marketing-mix performance, but the financial metric use is not. Finally, despite the great pressure for linking marketing-mix activities with financial metrics (SRIVASTAVA; SHERVANI; FAHEY; 1998; MSI, 1998, 2000, 2002, 2004, 2006, 2008), the reported activities indicate not just a limited use of financial metrics such as Payback, Cash Flow, and Internal Rate of Return, but also widespread use of marketing metrics such as Market Share, Customer Satisfaction, and Perceived Quality.

Although a metric for marketing is of great importance to B2B SMEs, there is no clear metric to start from on LinkedIn. The purpose of this study is to investigate how brand awareness can be measured on the social media platform LinkedIn. The study was conducted in collaboration with the B2B company Croisette Real Estate Partner where the approach was to distribute a survey via the company's company page on LinkedIn, where the aim was to compare the degree to which a respondent could retell of two posts from Croisette's LinkedIn page and how they had interacted with the posts. Four qualitative interviews were also conducted where marketers in both the B2B and B2C sectors were asked how they measure brand awareness today. The study's findings regarding the survey concluded that most respondents were able to retell what the posts were about without having interacted with the posts. The interviews concluded that brand awareness is measured in different ways and mostly outside of social media platforms like LinkedIn. Conclusions drawn are that marketers should not limit themselves to only one metric, but that metrics such as likes, comments and shares are not the focus for measuring brand awareness effectively.

Direct response advertising in the financial services industry in South Africa has become one of the most important tactics companies utilise to build and maintain market share. Ensuring that these advertising campaigns yield optimal return on investment numbers is the responsibility of marketing departments and their partners in the marketing and sales processes, such as the creative and media agencies, the distribution force, as well as the client service area that supports the client value proposition. The marketing executive therefore is accountable for the planning, budgeting and execution of direct response campaigns, which need to deliver sufficient results to support the company’s overall business objectives. The challenge all marketers face is the lack of a proven structured and scientific methodology to facilitate this planning, budgeting and execution process. It has always been a general view in the marketing fraternity that it is extremely difficult if not impossible to combine creative output measures, which are subjective in nature, with cost, sales and profit measures, which are objective in nature. This study aims to create a structured approach to marketing strategising and planning, by creating a marketing metrics model that enables the marketing practitioner to budget according to output needed to achieve the overarching business objectives of sales, cost management and profit. This marketing metrics model therefore unpacks the business drivers in detail, but through a marketing effort lense, to link the various factors underlying successful marketing output, to the bigger business objectives. This is done by incorporating both objective (verifiable data, such as cost per sale) and subjective variables (qualitative factors, such as creative quality) into a single model, which enables the marketing practitioner to identify areas of underperformance, which can then be managed, tweaked or discontinued in order to optimise marketing return on investment. Although many marketing metrics models and variables exist, there is a gap in the combination of objective and subjective factors in a single model, such as the proposed model, which will give the marketer a single tool to plan, analyse and manage the output in relation to pre-determined performance benchmarks. / Business Management / DCOM (Business Management)

Direct response advertising in the financial services industry in South Africa has become one of the most important tactics companies utilise to build and maintain market share. Ensuring that these advertising campaigns yield optimal return on investment numbers is the responsibility of marketing departments and their partners in the marketing and sales processes, such as the creative and media agencies, the distribution force, as well as the client service area that supports the client value proposition. The marketing executive therefore is accountable for the planning, budgeting and execution of direct response campaigns, which need to deliver sufficient results to support the company’s overall business objectives. The challenge all marketers face is the lack of a proven structured and scientific methodology to facilitate this planning, budgeting and execution process. It has always been a general view in the marketing fraternity that it is extremely difficult if not impossible to combine creative output measures, which are subjective in nature, with cost, sales and profit measures, which are objective in nature. This study aims to create a structured approach to marketing strategising and planning, by creating a marketing metrics model that enables the marketing practitioner to budget according to output needed to achieve the overarching business objectives of sales, cost management and profit. This marketing metrics model therefore unpacks the business drivers in detail, but through a marketing effort lense, to link the various factors underlying successful marketing output, to the bigger business objectives. This is done by incorporating both objective (verifiable data, such as cost per sale) and subjective variables (qualitative factors, such as creative quality) into a single model, which enables the marketing practitioner to identify areas of underperformance, which can then be managed, tweaked or discontinued in order to optimise marketing return on investment. Although many marketing metrics models and variables exist, there is a gap in the combination of objective and subjective factors in a single model, such as the proposed model, which will give the marketer a single tool to plan, analyse and manage the output in relation to pre-determined performance benchmarks. / Business Management / DCOM (Business Management)