International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 32 | Views: 200 | Weekly Hits: ⮙2 | Monthly Hits: ⮙9

Informative Article | Marketing | India | Volume 7 Issue 10, October 2018 | Popularity: 6.9 / 10


     

Cohort-Based Optimization for Email Marketing: Balancing Reduced Send Volume and Enhanced Engagement

Vijaya Chaitanya Palanki


Abstract: In the era of information overload, email marketers face the dual challenge of reducing send volume while improving engagement metrics. This paper presents a novel approach to email marketing optimization using cohort-based strategies. We explore advanced machine learning techniques for cohort identification, engagement prediction, and send volume optimization. The study addresses the complexities of user behavior modeling, temporal dynamics in email engagement, and the trade-offs between send frequency and user responsiveness. We provide a comprehensive framework for implementing cohort-based optimization in email marketing campaigns and discuss its potential impact on marketing efficiency and user experience.


Keywords: Cohort analysis, email marketing optimization, engagement prediction, send volume reduction, machine learning, customer segmentation, temporal dynamics


Edition: Volume 7 Issue 10, October 2018


Pages: 1821 - 1823


DOI: https://www.doi.org/10.21275/SR24822154343



Make Sure to Disable the Pop-Up Blocker of Web Browser




Text copied to Clipboard!
Vijaya Chaitanya Palanki, "Cohort-Based Optimization for Email Marketing: Balancing Reduced Send Volume and Enhanced Engagement", International Journal of Science and Research (IJSR), Volume 7 Issue 10, October 2018, pp. 1821-1823, https://www.ijsr.net/getabstract.php?paperid=SR24822154343, DOI: https://www.doi.org/10.21275/SR24822154343



Similar Articles

Downloads: 7 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Informative Article, Marketing, India, Volume 9 Issue 4, April 2020

Pages: 1796 - 1800

A Comprehensive Review on Advancements in Marketing Predictive Analytics and Reporting

Priyal Borole

Share this Article

Downloads: 22 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2

Case Studies, Marketing, United States of America, Volume 13 Issue 5, May 2024

Pages: 1728 - 1731

Marketing for Deep Tech Startups

Supriya Agarwal

Share this Article

Downloads: 130

Research Paper, Marketing, Brazil, Volume 8 Issue 9, September 2019

Pages: 944 - 947

Machine Learning and Bots Detection on Twitter

Norberto De Almeida Andrade, Giuliano Carlo Rainatto, Fontamara Lima, Genesio Renovato, Denis Gustavo Espacacherch Paschoal

Share this Article
Top