The Role of Machine Learning in Digital Marketing

被引:4
|
作者
Ullal, Mithun S. [1 ]
Hawaldar, Iqbal Thonse [2 ]
Soni, Rashmi [3 ]
Nadeem, Mohammed [4 ]
机构
[1] Manipal Acad Higher Educ, Manipal, India
[2] Kingdom Univ, Sanad, Bahrain
[3] Somaiya Vidyavihar Univ, Mumbai, Maharashtra, India
[4] Univ San Francisco, San Francisco, CA USA
来源
SAGE OPEN | 2021年 / 11卷 / 04期
关键词
AI; deep learning; digital marketing; machine learning; SOCIAL MEDIA; REGRESSION-MODELS; INNOVATION; STRATEGIES;
D O I
10.1177/21582440211050394
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Artificial Intelligence has been under researched. Machines with deep learning abilities can take digital marketing to new heights with their Artificial Intelligence making all the difference. This research aims to identify the outcomes from the study of Indian customer's responses across varying demographics to machines and their abilities to sell, which will well be the future of digital marketing. We find that software developers need to build the architecture is partnership with digital marketers who use machines with deep learning by taking attitude of the customers, behavior and choices into consideration. This will unlock huge benefits to the companies as accurate information about customers will be easily available to the marketers in future. How the machines are going to perform under various conditions are explained using a causal model using regression models. SPSS version 24 and R software were used for analysing the data and data regarding the customer's behaviors, their choices and emotions are collected and based on fuzzy-set qualitative comparative analysis (fsQCA) approach how they can be influenced to use the services of the machine, fsQCA is used to compare case oriented and variable oriented quantitative analysis.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] An analysis to understand the role of machine learning, robotics and artificial intelligence in digital marketing
    Boddu, Raja Sarath Kumar
    Santoki, Ashwinkumar A.
    Khurana, Shopita
    Koli, Poonam Vitthal
    Rai, Ravi
    Agrawal, Abhishek
    [J]. MATERIALS TODAY-PROCEEDINGS, 2022, 56 : 2288 - 2292
  • [2] Machine Learning in Marketing
    Brei, Vinicius Andrade
    [J]. FOUNDATIONS AND TRENDS IN MARKETING, 2020, 14 (03): : 173 - 236
  • [3] Comparing content marketing strategies of digital brands using machine learning
    Chen, Yulin
    [J]. HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2023, 10 (01):
  • [4] Comparing content marketing strategies of digital brands using machine learning
    Yulin Chen
    [J]. Humanities and Social Sciences Communications, 10
  • [5] Towards the Adoption of Machine Learning-Based Analytical Tools in Digital Marketing
    Miklosik, Andrej
    Kuchta, Martin
    Evans, Nina
    Zak, Stefan
    [J]. IEEE ACCESS, 2019, 7 : 85705 - 85718
  • [6] Impact of Big Data and Machine Learning on Digital Transformation in Marketing: A Literature Review
    Miklosik, Andrej
    Evans, Nina
    [J]. IEEE ACCESS, 2020, 8 : 101284 - 101292
  • [7] Exploring the resources, competencies, and capabilities needed for successful machine learning projects in digital marketing
    Blomster, Miikka
    Koivumaki, Timo
    [J]. INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT, 2022, 20 (01) : 123 - 169
  • [8] Estimating Marketing Component Effects: Double Machine Learning from Targeted Digital Promotions
    Ellickson, Paul B.
    Kar, Wreetabrata
    Reeder, James C.
    [J]. MARKETING SCIENCE, 2023, 42 (04) : 704 - 728
  • [9] Exploring the resources, competencies, and capabilities needed for successful machine learning projects in digital marketing
    Miikka Blomster
    Timo Koivumäki
    [J]. Information Systems and e-Business Management, 2022, 20 : 123 - 169
  • [10] THE ROLE OF DIGITAL MARKETING AND MARKETING AGENCIES IN MODERN BUSINESS
    Lackovic, Ivana
    Ferencek, Eugen
    [J]. INTERDISCIPLINARY MANAGEMENT RESEARCH XIV (IMR 2018), 2018, 14 : 1276 - 1289