Improving Product Performance Using User Behavioural Insights

Author(s)	Simran Sethi
Country	United States
Abstract	The performance of products in various industries, including e-commerce and smart home automation, relies heavily on user behavioural insights. Achieving a higher retention rate and improving recommendation systems, as well as the effectiveness of automated processes, can be achieved by examining engagement, intention to buy, and interactions with the environment. In this paper, we discuss complementary literature in the chosen domain alongside experiences gained from implementing practical solutions in e-commerce analytics and smart homes. It also outlines how user behaviour data helps shape product development, enable deeper personalization, and smarter automation. Further, it discusses privacy and ethical concerns such as the importance of differential privacy and consented user data for achieving personalization. This paper draws on the lessons taught by industry experience and a review of advanced scholarly research on how user behavioural data can expand product reach and user engagement.
Keywords	Behavioural Insights, Data-Driven Decision Making, E-commerce, IoT, Smart Home Automation, Recommendation Systems, Privacy, Ethics
Field	Engineering
Published In	Volume 4, Issue 5, May 2023
Published On	2023-05-10
Cite This	Improving Product Performance Using User Behavioural Insights - Simran Sethi - IJLRP Volume 4, Issue 5, May 2023. DOI 10.5281/zenodo.14945307
DOI	https://doi.org/10.5281/zenodo.14945307
Short DOI	https://doi.org/g86pcx

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