Optimizing Email Campaigns Based on PricingVariability

Abstract

Email marketing is now a mainstay in most e-commerce customer engagement platforms especially considering dynamic pricing and personalized campaign tactics. This paper explores how pricing-based cohort segmentation can best optimize email campaigns by identifying the appropriate consumer groups sensitive to price changes so marketers can adjust the timing and content of their campaigns for maximum engagement and conversion. Three effective strategies identified in this paper for cohorts and their related targeted email dispatch are leveraging user behavior data, real-time pricing adjustments, and automation. Beyond that, the paper includes a review of challenges like synchronization issues, as well as data privacy issues, while incorporating real-world case studies demonstrating the impact of cohort-based strategies on campaign performance. The future directions discussed look into the role of AI and machine learning in generating higher accuracy levels for cohort
segmentation and personalization, which shall serve as the road to refined data-driven email marketing strategies for e- commerce.