Revolutionizing Digital Marketing with Artificial Intelligence Solutions: A Four-Step Sequential Model

In recent years, technological advancements have led to significant changes across various industries, including marketing. The need to adapt to digital trends has become imperative for marketers. While this may seem like a daunting task, the use of automated applications and systems based on artifi...

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Published in:Lecture Notes in Electrical Engineering
Main Author: Raju V.; Kassim S.; Jahan S.; Wahab W.A.
Format: Conference paper
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197763555&doi=10.1007%2f978-981-97-0154-4_38&partnerID=40&md5=8f43a32d75e7a5453cbf9320d1fbc643
id 2-s2.0-85197763555
spelling 2-s2.0-85197763555
Raju V.; Kassim S.; Jahan S.; Wahab W.A.
Revolutionizing Digital Marketing with Artificial Intelligence Solutions: A Four-Step Sequential Model
2024
Lecture Notes in Electrical Engineering
1148 LNEE

10.1007/978-981-97-0154-4_38
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197763555&doi=10.1007%2f978-981-97-0154-4_38&partnerID=40&md5=8f43a32d75e7a5453cbf9320d1fbc643
In recent years, technological advancements have led to significant changes across various industries, including marketing. The need to adapt to digital trends has become imperative for marketers. While this may seem like a daunting task, the use of automated applications and systems based on artificial intelligence has simplified traditional targeting and customization processes. Many online promotion platforms incorporate algorithms that identify optimal combinations of parameters, while some companies opt to develop and implement customized systems in-house. The authors of this article seek to solutions to enhance website visibility through the use of keywords. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Springer Science and Business Media Deutschland GmbH
18761100
English
Conference paper

author Raju V.; Kassim S.; Jahan S.; Wahab W.A.
spellingShingle Raju V.; Kassim S.; Jahan S.; Wahab W.A.
Revolutionizing Digital Marketing with Artificial Intelligence Solutions: A Four-Step Sequential Model
author_facet Raju V.; Kassim S.; Jahan S.; Wahab W.A.
author_sort Raju V.; Kassim S.; Jahan S.; Wahab W.A.
title Revolutionizing Digital Marketing with Artificial Intelligence Solutions: A Four-Step Sequential Model
title_short Revolutionizing Digital Marketing with Artificial Intelligence Solutions: A Four-Step Sequential Model
title_full Revolutionizing Digital Marketing with Artificial Intelligence Solutions: A Four-Step Sequential Model
title_fullStr Revolutionizing Digital Marketing with Artificial Intelligence Solutions: A Four-Step Sequential Model
title_full_unstemmed Revolutionizing Digital Marketing with Artificial Intelligence Solutions: A Four-Step Sequential Model
title_sort Revolutionizing Digital Marketing with Artificial Intelligence Solutions: A Four-Step Sequential Model
publishDate 2024
container_title Lecture Notes in Electrical Engineering
container_volume 1148 LNEE
container_issue
doi_str_mv 10.1007/978-981-97-0154-4_38
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197763555&doi=10.1007%2f978-981-97-0154-4_38&partnerID=40&md5=8f43a32d75e7a5453cbf9320d1fbc643
description In recent years, technological advancements have led to significant changes across various industries, including marketing. The need to adapt to digital trends has become imperative for marketers. While this may seem like a daunting task, the use of automated applications and systems based on artificial intelligence has simplified traditional targeting and customization processes. Many online promotion platforms incorporate algorithms that identify optimal combinations of parameters, while some companies opt to develop and implement customized systems in-house. The authors of this article seek to solutions to enhance website visibility through the use of keywords. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
publisher Springer Science and Business Media Deutschland GmbH
issn 18761100
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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