Determinants of User Retention in Streaming Services: The Role of Content Library and User Experience

Aim/Purpose: This study aimed to delve into the determinants of user satisfaction and the intention to continue using streaming services, employing structural equation modeling as the analytical framework. Understanding these determinants is crucial for service providers who seek to enhance user retention and ensure long-term success in a competitive market. By identifying the key factors that influence user satisfaction and continued usage, service providers can tailor their strategies to meet user needs more effectively. Introduction/Background: The rapid proliferation of streaming services has transformed how content is consumed, making it imperative to understand what drives user satisfaction and retention. This paper addresses the critical problem of identifying the factors that influence user satisfaction and the intention to continue using streaming services. The study aimed to illuminate how service providers can improve user satisfaction and foster continued usage by focusing on essential aspects such as the content library and user experience. By doing so, the research provides valuable insights into the elements that contribute to a positive user experience and sustained engagement with streaming platforms. Methodology: To achieve the study's objectives, data were collected from a sample of 487 respondents who are active users of streaming services. The data collection process involved a comprehensive survey designed to capture various aspects of user satisfaction and usage intentions. The collected data were then analyzed using Structural Equation Modeling (SEM) to test the proposed hypotheses. SEM is a robust statistical technique that allows the examination of complex relationships between multiple variables, providing a comprehensive understanding of the determinants of user satisfaction. Various statistical techniques, including confirmatory factor analysis and path analysis, were employed to validate the model and ensure the reliability and validity of the findings. Findings: The analysis revealed that both the content library and user experience were significant determinants of user satisfaction. A diverse and extensive content library was found to be a critical factor in enhancing user satisfaction, as it provides users with a wide range of options to choose from, catering to diverse preferences and interests. Similarly, a high-quality user experience, characterized by ease of use, seamless navigation, and reliable performance, was shown to significantly influence user satisfaction. Furthermore, the study found that user satisfaction had a direct and significant impact on the intention to continue using the streaming service. Contribution/Impact on Society: The findings of this study contribute to the existing body of knowledge by providing empirical evidence on the importance of the content library and user experience in driving user satisfaction and retention in the context of streaming services. The larger implications of these findings suggest that service providers should prioritize these aspects to maintain and grow their user base. By focusing on enhancing the content library and user experience, service providers can create a more engaging and satisfying experience for users, leading to higher retention rates and sustained growth. This, in turn, can positively impact society by ensuring that users have access to high-quality, diverse content and a seamless viewing experience. Recommendations: Based on the findings, it is recommended that streaming service providers focus on expanding their content library to include a wide variety of genres, languages, and formats to cater to diverse user preferences. Additionally, continuous improvements to the overall user experience should be prioritized, including user interface enhancements, performance optimizations, and personalized recommendations. Regular assessments of user preferences and experiences should be conducted to adapt to changing user needs effectively. By doing so, service providers can ensure that they remain competitive and meet the evolving demands of their user base. Research Limitation: The study was limited by its sample size and the specific context of streaming services, which may not be generalizable to other types of services or industries. The sample of 487 respondents, while substantial, may not have fully captured the diversity of streaming service users. Additionally, the study's focus on streaming services meant that the findings may not apply to other digital services or industries. Further research is needed to explore additional factors influencing user satisfaction and retention in different contexts and to validate the findings across larger and more diverse samples. Future Research: Future research should explore the determinants of user satisfaction and retention in different industries and contexts to build a comprehensive understanding of user behavior. This could include studies on other digital services, such as e-commerce platforms, social media, and online gaming, to identify common and unique factors influencing user satisfaction and retention. Additionally, longitudinal studies could provide insights into how these determinants evolve over time, aiding service providers in adapting their strategies accordingly. By examining the long-term trends and changes in user behavior, future research can offer valuable guidance for service providers looking to sustain user engagement and satisfaction over the long term.

Authors

Publication Details

Journal
Human Behavior, Development and Society
Published
2025-06-20
DOI
https://doi.org/10.62370/hbds.v26i2.278793
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of User Retention in Streaming Services: The Role of Content Library and User Experience

Khomson Tunsakul
Human Behavior, Development and Society
Technology Adoption and User Behaviour
article

Determinants of User Retention in Streaming Services: The Role of Content Library and User Experience

Khomson Tunsakul
article en

Abstract

Aim/Purpose: This study aimed to delve into the determinants of user satisfaction and the intention to continue using streaming services, employing structural equation modeling as the analytical framework. Understanding these determinants is crucial for service providers who seek to enhance user retention and ensure long-term success in a competitive market. By identifying the key factors that influence user satisfaction and continued usage, service providers can tailor their strategies to meet user needs more effectively. Introduction/Background: The rapid proliferation of streaming services has transformed how content is consumed, making it imperative to understand what drives user satisfaction and retention. This paper addresses the critical problem of identifying the factors that influence user satisfaction and the intention to continue using streaming services. The study aimed to illuminate how service providers can improve user satisfaction and foster continued usage by focusing on essential aspects such as the content library and user experience. By doing so, the research provides valuable insights into the elements that contribute to a positive user experience and sustained engagement with streaming platforms. Methodology: To achieve the study's objectives, data were collected from a sample of 487 respondents who are active users of streaming services. The data collection process involved a comprehensive survey designed to capture various aspects of user satisfaction and usage intentions. The collected data were then analyzed using Structural Equation Modeling (SEM) to test the proposed hypotheses. SEM is a robust statistical technique that allows the examination of complex relationships between multiple variables, providing a comprehensive understanding of the determinants of user satisfaction. Various statistical techniques, including confirmatory factor analysis and path analysis, were employed to validate the model and ensure the reliability and validity of the findings. Findings: The analysis revealed that both the content library and user experience were significant determinants of user satisfaction. A diverse and extensive content library was found to be a critical factor in enhancing user satisfaction, as it provides users with a wide range of options to choose from, catering to diverse preferences and interests. Similarly, a high-quality user experience, characterized by ease of use, seamless navigation, and reliable performance, was shown to significantly influence user satisfaction. Furthermore, the study found that user satisfaction had a direct and significant impact on the intention to continue using the streaming service. Contribution/Impact on Society: The findings of this study contribute to the existing body of knowledge by providing empirical evidence on the importance of the content library and user experience in driving user satisfaction and retention in the context of streaming services. The larger implications of these findings suggest that service providers should prioritize these aspects to maintain and grow their user base. By focusing on enhancing the content library and user experience, service providers can create a more engaging and satisfying experience for users, leading to higher retention rates and sustained growth. This, in turn, can positively impact society by ensuring that users have access to high-quality, diverse content and a seamless viewing experience. Recommendations: Based on the findings, it is recommended that streaming service providers focus on expanding their content library to include a wide variety of genres, languages, and formats to cater to diverse user preferences. Additionally, continuous improvements to the overall user experience should be prioritized, including user interface enhancements, performance optimizations, and personalized recommendations. Regular assessments of user preferences and experiences should be conducted to adapt to changing user needs effectively. By doing so, service providers can ensure that they remain competitive and meet the evolving demands of their user base. Research Limitation: The study was limited by its sample size and the specific context of streaming services, which may not be generalizable to other types of services or industries. The sample of 487 respondents, while substantial, may not have fully captured the diversity of streaming service users. Additionally, the study's focus on streaming services meant that the findings may not apply to other digital services or industries. Further research is needed to explore additional factors influencing user satisfaction and retention in different contexts and to validate the findings across larger and more diverse samples. Future Research: Future research should explore the determinants of user satisfaction and retention in different industries and contexts to build a comprehensive understanding of user behavior. This could include studies on other digital services, such as e-commerce platforms, social media, and online gaming, to identify common and unique factors influencing user satisfaction and retention. Additionally, longitudinal studies could provide insights into how these determinants evolve over time, aiding service providers in adapting their strategies accordingly. By examining the long-term trends and changes in user behavior, future research can offer valuable guidance for service providers looking to sustain user engagement and satisfaction over the long term.

Human Behavior, Development and SocietyVol. 26(2)
Openalex Percentile: Top 85%
Technology Adoption and User Behaviour
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.