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Designing Effective Mobile Push Notifications: Machine Learning Insights into User Engagement Wicaksana, Dwi Yoga; Aisyah, Rheyna Jufri Sifa Zie; Qurrata A'yun, Dian Ulhaq
Journal of Digital Business and Innovation Management Vol. 3 No. 2 (2024): December 2024
Publisher : Universitas Negeri Surabaya

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Abstract

This study investigates the impact of mobile push notification design elements on user engagement, utilizing machine learning to derive actionable insights. By analyzing a dataset of over 700 million notifications from an e-commerce platform, the research evaluates the influence of three key features: the presence of emojis, deadlines, and subject line length. A logistic regression model was employed to identify the features most strongly associated with high engagement, defined as notifications receiving over 1,000 opens. The findings reveal that the inclusion of emojis significantly enhances engagement rates, achieving a 91% success rate compared to 20% for notifications without emojis. While deadlines slightly increased engagement, their effect was not statistically significant when examined in isolation. Subject line length demonstrated no consistent influence on engagement. However, a synergistic combination of emojis and deadlines yielded the highest engagement rates at 100%, emphasizing the value of integrating visual and psychological triggers.This study underscores the potential of machine learning in optimizing mobile push notification strategies, offering practical recommendations for businesses to refine their digital marketing efforts. These findings contribute to the growing body of literature on user engagement and provide a foundation for future exploration of notification design and effectiveness.
Website quality and user satisfaction: A higher education perspective Qurrata A'yun, Dian Ulhaq; Wicaksana, Dwi Yoga; Ulya, Syifatil; Zie, Rheyna Jufri Sifa; Fazlurrahman, Hujjatullah
Sebelas Maret Business Review Vol 8, No 2 (2023): December 2023
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/smbr.v8i2.81364

Abstract

At the forefront of this digital revolution stands the omnipresent website, a virtual gateway that transcends geographical boundaries, providing us unparalleled access to information and services from anywhere on the globe. In this increasingly interconnected world, websites have become the digital storefronts and first impressions of entities, be they businesses, organizations, or individuals. Consequently, people often make swift and decisive judgments about an agency based solely on its online presence's user experience and interface design. Given how quickly the internet is developing, the online quality of an academic university website is essential to student satisfaction. This study explores the intricate relationship between student satisfaction and academic university website quality (usability quality, information quality, service interaction quality, and user satisfaction). It provides a detailed analysis of the student experience. We use multiple regression with a sample size of 104 student respondents. This study uses factual data and student input to analyze significant areas of academic university websites. The results show that user satisfaction with website quality is positively significant to user satisfaction. Repetitive interactions are more common on websites that excel in usability, accessibility, and responsiveness. We hope this research can help developers to improve academic university websites.