Publicação

Development of a marketing automation platform to integrate online e-commerce services

Ver documento

Detalhes bibliográficos
Resumo:E-commerce is continuously expanding which increases market competitiveness. With the increase of plat-forms arrives a need to stand out from the competition, thus creating the necessity to improve marketing strate-gies. Marketing strategies, such as creating personalized birthday emails or registration welcome-emails cannot be done in the traditional way. This idea of creating custom services like sending user-specific emails creates the need for a marketing automation solution. Following this need, its proposed the development of a marketing automation platform with integration with a machine learning engine. This system will be hosted on a cloud and will automate marketing campaigns and provide dents with results from machine learning models.
Autores principais:Gonçalves, Diogo Alexandre Domingues
Assunto:Marketing Automation Software architecture Web services Representational state transfer (REST) e-commerce Cloud computing Marketing Automático Arquitetura de software Serviços web e-comércio
Ano:2022
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:E-commerce is continuously expanding which increases market competitiveness. With the increase of plat-forms arrives a need to stand out from the competition, thus creating the necessity to improve marketing strate-gies. Marketing strategies, such as creating personalized birthday emails or registration welcome-emails cannot be done in the traditional way. This idea of creating custom services like sending user-specific emails creates the need for a marketing automation solution. Following this need, its proposed the development of a marketing automation platform with integration with a machine learning engine. This system will be hosted on a cloud and will automate marketing campaigns and provide dents with results from machine learning models.