932 resultados para Customer loyalty programs
Resumo:
RESUMO - Confrontados por uma procura mais ativa e exigente e pressionados por uma maior restrição orçamental, os prestadores de saúde têm vindo a reconhecer o Marketing de Fidelização como uma solução sustentável para o seu sucesso financeiro. Assim, a autora explora como se desenvolve a cocriação de valor do consumidor no setor de saúde, nomeadamente, as interações, os atores e as atividades envolvidas na gestão e tratamento da doença. O projeto de investigação foca-se particularmente na cocriação de valor entre o médico regular e o paciente. Foi realizada uma pesquisa exploratória de natureza qualitativa. Os dados recolhidos na APDP, a uma amostra de 16 pacientes diabéticos através da técnica de entrevistas aprofundadas, revelaram que os estilos práticos de criação de valor do consumidor (CVCPS) desenvolvido por McColl-Kennedy et al. (2012) adequam-se às características desta doença. Os resultados do estudo sustentam que os pacientes com estilos práticos de cocriação de valor do consumidor “Parceria” e “Gestor de equipa” tendem a estar associados a um nível de fidelização elevado, pelo que se sugere que estes estilos sejam encorajados pelos prestadores. Em contraste, o Estilo de cocriação “Colaboração Passiva” está potencialmente associado a níveis de fidelização reduzidos, o que também sugere que a participação do paciente no seu relacionamento com o médico possa ser um fator potenciador da sua fidelização. O presente projeto de Investigação pretende ser um contributo teórico para investigação futura na área da cocriação e fidelização, com uma aplicação empírica que contribui para uma maior extensividade dos benefícios da cocriação de valor do consumidor para a Gestão em Saúde.
Resumo:
Tablet computers are on the rise and are increasingly superseding stationary computers in terms of modern online shopping. This paper therefore aims on understanding how tablet and website characteristics might impact online consumer behavior. The collected data resulted from focus groups and in-depth interviews conducted with a technology affine audience. It has shown that tablets indeed may have shifted shopping behavior from utilitarian towards rather recreational attributes. Discussions also revealed high customer expectations towards visited shopping websites and prevailing deficits. Thus, harnessing the concept of experiential flow is crucial. Compelling experiences are required to increase the duration of stay and consequently the likelihood of increased purchases.
Resumo:
The income support programs are created with the purpose of fighting both, the poverty trap and the inactivity trap. The balance between both is fragile and hard to find. Thus, the goal of this work is to contribute to solve this issue by finding how income support programs, particularly the Portuguese RSI, affect transitions to employment. This is made through duration analysis, namely using Cox and Competing Risks models. A particular feature is introduced in this work as it incorporates the possibility of Defective Risks. The estimated hazard elasticity with respect to the amount of RSI received for individuals who move to employment is -0,41. More than a half of RSI receivers stays for more than a year and the probability of never leaving to employment is 44%. The results appear to indicate that RSI has affected negatively transitions to employment.
Resumo:
Few studies have been conducted on causal antecedents for electronic loyalty regarding the online fashion industry. In Portugal there is no systematic empirical research in this area. This study aims to examine e-satisfaction and e-trust that potentially impact eloyalty. It also examines the impact of price, website design and selection of brands. A research study was performed at GIRISSIMA.COM and survey responses were 77. The findings show that e-satisfaction is the main driver of e-loyalty. E-trust, website design and price affect positively e-loyalty. Additionally, selection of brands was proved to impact e-loyalty through e-satisfaction and e-trust.
Resumo:
Towards a holistic perspective of CRM, this project aims to diagnose and propose a strategy and market segmentation for Siemens Healthcare. The main underlying principle is to apply a full customer-centric outlook taking own business properties into consideration while preserving Siemens Healthcare’s culture and vision. Mainly focused on market segmentation, this project goes beyond established boundaries by employing an unbiased perspective of CRM while challenging current strategy, goals, processes, tools, initiatives and KPIs. In order to promote a sustainable business excellence strategy, this project aspires to streamline CRM strategic importance and driving the company one step forward.
Resumo:
Recently researchers showed that more choice is not always better. Choosing from large assortments can be overwhelming, raising expectations and decreasing overall level of consumer satisfaction. Author contributes to existing overchoice studies by using real assortment of online stores to find influence of assortment size on customer satisfaction. 90 students participated in the main experiment, where they chose a smartphone case for their friend. Results of the study show that large assortment size leads to higher expectations, higher choice difficulty and higher level of satisfaction. This research does not show overchoice presence and author suggests future studies could focus more on assortment variety and more personal characteristics of consumers, like preference uncertainty.
Resumo:
There have never been so many touch points between companies and consumers as there are today, which paradoxically makes it very challenging for companies to be able to retain and engage customers. Gamification is a strategy used by a large number of companies to increase customer engagement and customer lifetime value. This work aims at developing a gamification system for MyGon, a Portuguese startup working in the market of discounts and experiences. In addition to examining the literature concerning gamification, its elements and characteristics, recommendations were developed for addressing MyGon’s business goals of increasing conversion and customer engagement. The gamification mechanisms suggested include badges, missions, points, leaderboards and levels.
Resumo:
The objective of this consulting project was to assist Galp Energia in its approach to loyalty. In order to do so, two hypotheses were defined. The first assumed there was value to capture in the existing approach. The second held that it was possible to create value through a radically innovative approach. The methodology used to corroborate those hypotheses encompassed several quantitative analyses, as well as desk research and market research. As a result, a compilation of recommendations comprising implementation proposals that considered both hypotheses as valid was presented in order to suggest a paradigm change
Resumo:
The purpose of this project was to analyze Galp’s loyalty approach in the Portuguese fuel market given the industry context, namely the entry of hypermarket and the resulting increase in competitiveness. The team performed analyses based on analytical models, qualitative research and internal interviews in order to assess Galp’s potential in the field of loyalty and consumers’ behavior. The final recommendations were based on incremental improvements to the Galp’s existing loyalty tool and an innovative paradigm change of the approach to loyalty.
Resumo:
Achieving long-term success for companies includes providing customers with exceptional products and ser-vices. It implies investing in Customer Relationship Management (CRM) and building a plan of its implementation. This issue is addressed in present Work Project by conducting interviews with top-management of Wrike and sur-vey with other employees which showed there is space for improvement of company’s current CRM. Results give insights of CRM in Wrike and are the basis of CRM plan proposal. The key effect of the proposed plan can be seen in the increase of the customer’s value and consequently result in Return on Customers.
Resumo:
Sonae MC is constantly innovating and keeping up with the new market trends, being increasingly focused on E-commerce due to its growing importance. In that area, a telephone line is available to support customers with their problems. However, rare were the cases in which those problems were solved in the first contact. Therefore, the goal of this work was to reengineer these processes to improve the service performance and consequently the customer’s satisfaction. Following an evolutionary approach, improvement opportunities were suggested and if correctly implemented the cases resolution time could decrease 1 day and Sonae MC will save €7.750 per month.
Resumo:
There have never been so many touch points between companies and consumers as there are today, which paradoxically makes it very challenging for companies to be able to retain and engage customers. Gamification is a strategy used by a large number of companies to increase customer engagement and customer lifetime value. This work aims at developing a gamification system for MyGon, a Portuguese startup working in the market of discounts and experiences. In addition to examining the literature concerning gamification, its elements and characteristics, recommendations were developed for addressing MyGon’s business goals of increasing conversion and customer engagement. The gamification mechanisms suggested include badges, missions, points, leaderboards and levels.
Resumo:
Customer lifetime value (LTV) enables using client characteristics, such as recency, frequency and monetary (RFM) value, to describe the value of a client through time in terms of profitability. We present the concept of LTV applied to telemarketing for improving the return-on-investment, using a recent (from 2008 to 2013) and real case study of bank campaigns to sell long- term deposits. The goal was to benefit from past contacts history to extract additional knowledge. A total of twelve LTV input variables were tested, un- der a forward selection method and using a realistic rolling windows scheme, highlighting the validity of five new LTV features. The results achieved by our LTV data-driven approach using neural networks allowed an improvement up to 4 pp in the Lift cumulative curve for targeting the deposit subscribers when compared with a baseline model (with no history data). Explanatory knowledge was also extracted from the proposed model, revealing two highly relevant LTV features, the last result of the previous campaign to sell the same product and the frequency of past client successes. The obtained results are particularly valuable for contact center companies, which can improve pre- dictive performance without even having to ask for more information to the companies they serve.
Resumo:
Due to communication and technology developments, residential consumers are enabled to participate in Demand Response Programs (DRPs), control their consumption and decrease their cost by using Household Energy Management (HEM) systems. On the other hand, capability of energy storage systems to improve the energy efficiency causes that employing Phase Change Materials (PCM) as thermal storage systems to be widely addressed in the building applications. In this paper, an operational model of HEM system considering the incorporation of more than one type of PCM in plastering mortars (hybrid PCM) is proposed not only to minimize the customerâ s cost in different DRPs but also to guaranty the habitantsâ  satisfaction. Moreover, the proposed model ensures the technical and economic limits of batteries and electrical appliances. Different case studies indicate that implementation of hybrid PCM in the buildings can meaningfully affect the operational pattern of HEM systems in different DRPs. The results reveal that the customerâ s electricity cost can be reduced up to 48% by utilizing the proposed model.
Resumo:
Abstract Dataflow programs are widely used. Each program is a directed graph where nodes are computations and edges indicate the flow of data. In prior work, we reverse-engineered legacy dataflow programs by deriving their optimized implementations from a simple specification graph using graph transformations called refinements and optimizations. In MDE-speak, our derivations were PIM-to-PSM mappings. In this paper, we show how extensions complement refinements, optimizations, and PIM-to-PSM derivations to make the process of reverse engineering complex legacy dataflow programs tractable. We explain how optional functionality in transformations can be encoded, thereby enabling us to encode product lines of transformations as well as product lines of dataflow programs. We describe the implementation of extensions in the ReFlO tool and present two non-trivial case studies as evidence of our work’s generality