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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Analysis of consumer behavior and preferences with respect to AI induced digital marketing

Authors: Shaikh, Mohammad Ibrahim;

Analysis of consumer behavior and preferences with respect to AI induced digital marketing

Abstract

The potential of artificial intelligence (AI) in marketing is enormous. It helps to increase the number of information and data sources, enhance the data management capabilities of software, and create complex and sophisticated algorithms. AI is altering how businesses and customers communicate with one another. The type of business and the website’s functionality have a big impact on how this technology is used. Marketers may now give customers more of their attention and respond to their requirements immediately. Thanks to the data gathered and produced by its algorithms, AI enables them to swiftly decide what content to target customers with and which channel to use when. When AI is used to personalise user experiences, user are more at ease and more likely to purchase what is being offered. A kind of artificial intelligence called machine learning (ML) enables computers to analyse and interpret data without having to be explicitly programmed. Additionally, ML helps people solve difficulties effectively. As more data is given into the algorithm, it learns and becomes more efficient and accurate. Relevant articles on the use of AI in marketing have been found for this study on multiple platforms. Following the reading of these papers, the paper’s theme was established. This essay aims to examine consumer behavior and preferences with respect to AI induced digital marketing. An effort is taken to observe what are the reactions of consumers with respect to artificial intelligence.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green