How artificial intelligence can improve digital marketing

Detalhes bibliográficos
Autor(a) principal: Pereira, L.
Data de Publicação: 2023
Outros Autores: Tomás, D., Dias, Á., Lopes da Costa, R., Gonçalves, R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/30912
Resumo: Recent technological advances have allowed the growth of digital marketing, creating the challenge of big data. AI emerges to deal with this paradigm and marketing becomes a natural beneficiary, as it takes advantage of data in its processes. This research aims to evaluate the potential impact of AI on digital marketing. This knowledge could accelerate the adoption of AI technologies, revolutionising the area. The following techniques were developed: survey for digital marketing professionals to identify their needs; research of AI solutions; coverage and match analysis between needs and solutions. This research establishes which digital marketing aspects need further development and recommends response solutions: Bloomreach Experience Cloud for customer experience; Alli AI and Market Brew for SEO; concured for content marketing; Automizy for e-mail marketing; Cortex for social media marketing; Adobe Advertising Cloud for online advertising; Conversica and drift automation for communication; and SAS VDMML and SAS VF for data analysis.
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spelling How artificial intelligence can improve digital marketingArtificial intelligenceMarketingDigital marketingRecent technological advances have allowed the growth of digital marketing, creating the challenge of big data. AI emerges to deal with this paradigm and marketing becomes a natural beneficiary, as it takes advantage of data in its processes. This research aims to evaluate the potential impact of AI on digital marketing. This knowledge could accelerate the adoption of AI technologies, revolutionising the area. The following techniques were developed: survey for digital marketing professionals to identify their needs; research of AI solutions; coverage and match analysis between needs and solutions. This research establishes which digital marketing aspects need further development and recommends response solutions: Bloomreach Experience Cloud for customer experience; Alli AI and Market Brew for SEO; concured for content marketing; Automizy for e-mail marketing; Cortex for social media marketing; Adobe Advertising Cloud for online advertising; Conversica and drift automation for communication; and SAS VDMML and SAS VF for data analysis.Inderscience2024-12-05T00:00:00Z2023-01-01T00:00:00Z20232024-02-07T12:31:10Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/30912eng1746-097210.1504/IJBIS.2023.135351Pereira, L.Tomás, D.Dias, Á.Lopes da Costa, R.Gonçalves, R.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-11T01:17:57Zoai:repositorio.iscte-iul.pt:10071/30912Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:37:30.417Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv How artificial intelligence can improve digital marketing
title How artificial intelligence can improve digital marketing
spellingShingle How artificial intelligence can improve digital marketing
Pereira, L.
Artificial intelligence
Marketing
Digital marketing
title_short How artificial intelligence can improve digital marketing
title_full How artificial intelligence can improve digital marketing
title_fullStr How artificial intelligence can improve digital marketing
title_full_unstemmed How artificial intelligence can improve digital marketing
title_sort How artificial intelligence can improve digital marketing
author Pereira, L.
author_facet Pereira, L.
Tomás, D.
Dias, Á.
Lopes da Costa, R.
Gonçalves, R.
author_role author
author2 Tomás, D.
Dias, Á.
Lopes da Costa, R.
Gonçalves, R.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Pereira, L.
Tomás, D.
Dias, Á.
Lopes da Costa, R.
Gonçalves, R.
dc.subject.por.fl_str_mv Artificial intelligence
Marketing
Digital marketing
topic Artificial intelligence
Marketing
Digital marketing
description Recent technological advances have allowed the growth of digital marketing, creating the challenge of big data. AI emerges to deal with this paradigm and marketing becomes a natural beneficiary, as it takes advantage of data in its processes. This research aims to evaluate the potential impact of AI on digital marketing. This knowledge could accelerate the adoption of AI technologies, revolutionising the area. The following techniques were developed: survey for digital marketing professionals to identify their needs; research of AI solutions; coverage and match analysis between needs and solutions. This research establishes which digital marketing aspects need further development and recommends response solutions: Bloomreach Experience Cloud for customer experience; Alli AI and Market Brew for SEO; concured for content marketing; Automizy for e-mail marketing; Cortex for social media marketing; Adobe Advertising Cloud for online advertising; Conversica and drift automation for communication; and SAS VDMML and SAS VF for data analysis.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-01T00:00:00Z
2023
2024-12-05T00:00:00Z
2024-02-07T12:31:10Z
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1746-0972
10.1504/IJBIS.2023.135351
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