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