Abstract
This research work pursues to present information relevant to advertising on social networks presented in other research works, this in order to provide a project to guide small businesses to advertise in the most optimal way on different social networks, considering the gender and age of the clients to be reached. The project will implement the use of big data with multiple databases to determine the best social network to advertise according to the parameters offered by the user. This will help small and even medium-sized companies have a better overview that helps them make the decision on which social network to invest advertising resources in according to the market they are looking.
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Márquez, B.Y., Partida-Ramírez, L.A., Guerrero-Luis, M. (2021). Big Data as an Orientation Tool for Networking Marketing. In: Guarda, T., Portela, F., Santos, M.F. (eds) Advanced Research in Technologies, Information, Innovation and Sustainability. ARTIIS 2021. Communications in Computer and Information Science, vol 1485. Springer, Cham. https://doi.org/10.1007/978-3-030-90241-4_28
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DOI: https://doi.org/10.1007/978-3-030-90241-4_28
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