UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 12 Issue 3
March-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2503826


Registration ID:
557988

Page Number

i193-i198

Share This Article


Jetir RMS

Title

Analysing the Role of Email Marketing in Customer Retention: An Amazon-Inspired Approach

Abstract

Email marketing has become a very important instrument for retaining customers within e-commerce. This study explores Amazon’s data-driven email marketing strategies, plus their effect upon customer loyalty, engagement, and purchasing behavior. Through using segmentation, more personalization, and complete automation, Amazon makes sure its email campaigns coincide with specific customer likings, resulting in increased retention percentages. A primary data survey was conducted among 121 Amazon users in Coimbatore City using Google Forms, with responses analyzed through statistical tools, such as Simple Percentage Analysis, Chi-Square Test, Correlation, and One-Way ANOVA. The data suggests that many customized deals greatly affect client involvement. Also, special offers and limited promos greatly affect client loyalty. The study also stresses the importance of optimizing how often emails are sent to prevent fatigue while keeping people interested. Several challenges were identified by the study's researchers. Difficulty in finding relevant offers and excessive email frequency were included. Further, the study stresses how thorough data analysis and strict machine learning shape Amazon’s email campaigns, fueling detailed forecast models of buyer actions for improved aims. The study also explores Amazon’s omnichannel marketing approach, in which emails synchronize along with website and along with app notifications for the creation of a smooth customer experience. By closely analyzing at Amazon’s best practices, this research provides helpful understandings for businesses targeting for to improve their email marketing strategies. Using approaches such as behavioral segmentation, along with personalized communication, in addition to predictive analytics can greatly increase customer retention, brand loyalty, and long-term business growth in the e-commerce sector.

Key Words

Email Marketing, Customer Retention, Personalization, Data Analytics, E-Commerce, Amazon Statistical Analysis.

Cite This Article

"Analysing the Role of Email Marketing in Customer Retention: An Amazon-Inspired Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.i193-i198, March-2025, Available :http://www.jetir.org/papers/JETIR2503826.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Analysing the Role of Email Marketing in Customer Retention: An Amazon-Inspired Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppi193-i198, March-2025, Available at : http://www.jetir.org/papers/JETIR2503826.pdf

Publication Details

Published Paper ID: JETIR2503826
Registration ID: 557988
Published In: Volume 12 | Issue 3 | Year March-2025
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.44344
Page No: i193-i198
Country: Tiruppur, Tamilnadu, India .
Area: Commerce
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000176

Print This Page

Current Call For Paper

Jetir RMS