• Sahil Arora1,
• Sahil Arora1,
• Pranav Khare2

This paper explores the pivotal role of Machine Learning (ML) algorithms in personalizing user experiences within Software-as-a-Service (SaaS) products and its influence on market success. In today's competitive landscape, delivering personalized user experiences has become paramount for SaaS providers to enhance engagement, retention, and ultimately, market competitiveness. ML algorithms offer a powerful mechanism to analyze vast amounts of user data, derive meaningful insights, and dynamically tailor user experiences to individual preferences and behaviors. By investigating how ML algorithms can personalize user experiences, this research aims to shed light on the intricate relationship between personalization, user engagement, and market success in the realm of SaaS products. Through a comprehensive analysis of existing literature and a survey analysis conducted as part of this study, this paper elucidates the various ways in which ML-driven personalization strategies can drive user satisfaction, increase product adoption, and foster long-term customer loyalty.The survey analysis reveals compelling insights into the perceptions and behaviors of users regarding personalized user experiences within SaaS products. The findings suggest that ML-driven personalization significantly influences users' decisions to continue using SaaS products, contributes to user advocacy and word-of-mouth recommendations, enhances perceived product value, justifies premium pricing, and positively impacts users' perceptions of product quality.

Machine Learning (ML) algorithms, User Experience (UX), Software-as-a-Service (SaaS), Product Adoption

"The Role of Machine Learning in Personalizing User Experiences in SaaS Products ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.c809-c821, June-2024, Available :http://www.jetir.org/papers/JETIR2406297.pdf

"The Role of Machine Learning in Personalizing User Experiences in SaaS Products ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppc809-c821, June-2024, Available at : http://www.jetir.org/papers/JETIR2406297.pdf