JOURNAL ARTICLE

Consumer Behaviour towards Digital Marketing at Amazon

MRIDUL VERMA

Year: 2023 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

The primary objective of this research paper is
to conduct an in-depth analysis of consumerbehaviour
towards digital marketing at Amazon. The study aims to
investigate the impact of digital marketing strategies on
consumer behaviour, their perceptions, and preferences
towards Amazon's marketing techniques. Moreover, the
study seeks to identify and examine the crucial factors
that influence consumers to make purchases from
Amazon, such as brand reputation, product quality,
pricing, convenience, and customer service.
This research employs a rigorous quantitative
approach, utilising the survey method. The sample size
for this study was carefully selected and consisted of 200
respondents. The collected data were subjected to
advanced statistical analysis techniques, including
descriptive statistics, correlation,and regression analysis,
to obtain comprehensive and reliable results.
The research findings demonstrate that Amazon's
digital marketing strategies have a positive impact on
consumer behaviour. In particular, convenience, pricing,
and customer service emerged as the most crucial
determinants in the consumers' decision-making process.
These findings highlight the critical role that digital
marketing plays in shaping consumer behaviour and
underscore the importance of Amazon's marketing efforts
in maintaining and strengthening its market position.
Overall, this research paper contributes to the
existing body of knowledge on digital marketing and
consumer behaviour, offering valuable insights and
recommendations for businesses operating inthe digital
marketplace.

Keywords:
Digital marketing Consumer behaviour Marketing research Qualitative marketing research Quantitative marketing research Market research Sample (material) Product (mathematics)

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Topics

Digital Marketing and Social Media
Social Sciences →  Social Sciences →  Sociology and Political Science
Innovations and Analysis in Business and Education
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Organizational and Employee Performance
Physical Sciences →  Computer Science →  Artificial Intelligence

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