Predictive Analysis of Customer Behaviour on Mobile Apps

Authors

  • D. Sandhya rani Institute of Aeronautical Engineering College, Dundigal, India. Author
  • Dr.T. Vara Lakshmi Institute of Aeronautical Engineering College, Dundigal, India. Author
  • K. Ashok Kumar Institute of Aeronautical Engineering College, Dundigal, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2024.0256

Keywords:

Demographic Analysis, Purchase Behavior, In-App Actions, User Journey, App Analytics, Usage Data, Mobile App, Customer Behavior

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.

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Published

2024-05-31