Paper Contents
Abstract
Push notifications are a vital communication tool in e-commerce apps, helping businesses engage users and drive sales. However, excessive or irrelevant notifications often lead to notification fatigue, app uninstalls, or negative user experiences. This paper explores strategies to optimize and reduce push notifications in e-commerce apps while maintaining user engagement and business objectives. By leveraging user segmentation, machine learning, behavioral analytics, and personalized content, notifications can be tailored to user preferences and activity. The proposed approach ensures that notifications are sent at optimal times and are relevant to the recipient, minimizing redundancy and perceived spam. This study highlights the benefits of a reduced and smarter notification system in enhancing customer retention, improving app ratings, and fostering long-term user loyalty.
Copyright
Copyright © 2025 MOHAMMED DAIYAN. This is an open access article distributed under the Creative Commons Attribution License.
