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Project success prediction in the brazilian crowdfunding ecosystem : a case study of Benfeitoria.com
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Orientador(es)
Resumo(s)
Crowdfunding in developing markets is growing steady every year and became an opportunity for small project owners to fund their ideas and products. In 2015, South America market generated at $ 85.74M in funding volume. With the growth and maturation of crowdfunding platforms in South America, a more data-driven approach is needed from the thousands of data generated from the relationship between donors and projects to understand the behavioral patterns of a successful project. Even though it is a recent topic the crowdfunding phenomenon has increased the interest of researchers and investors around the globe. Many studies are being developed in the areas of predictive modelling and data mining using the database of the main crowdfunding platforms of the world such as Kickstarter. However, there are few studies related with predictive models on crowdfunding platforms in developing markets, such as Brazil. This case study aims to analyze crowdfunding success factors for a brazilian crowdfunding platform (Benfeitoria) and develop a predictive model that identifies if a new project will be successfully backed after seven days in the platform.
Descrição
Project Work presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research e CRM
Palavras-chave
Predict model Data Mining Model Brazil Crowdfunding