Predictive Analysis of Customer Behaviour on Mobile Apps

Abstract

The widespread use of high-tech mobile devices has made them indispensable, driving up the number of users. This surge has intensified the demand for quality mobile apps, putting pressure on developers to swiftly improve user experiences. Our article tackles the challenges faced by both consumers and developers, proposing solutions to bridge the gap. By understanding consumer behavior and empowering developers, we aim to enhance mobile app functionality and satisfaction, fostering a better relationship between users and creators. Customers' preferences for online payments are largely influenced by the current study's research of customer satisfaction with online payment apps. Simple random and sample methods were used to choose 100 respondents. Utilizing statistical tools such as ANOVA and LINEAR REGRESSION, these studies identified the online payment apps behaviors of their clients.