Generational Variations in Customer Engagement, Satisfaction and Churn Rate: A Study of the Subscription Market

This study investigates the relationship between customer engagement, satisfaction, and churn within the subscription service market, focusing on how these elements vary across generational cohorts. Utilizing descriptive and inferential statistics of a dataset provided by IBM on Kaggle platform, this research identifies distinctive behavioral patterns influencing engagement and churn rates among different generations. The findings suggest that Generation Z requires dynamic and interactive engagement to reduce churn, whereas Baby Boomers prefer consistent and reliable interactions. The results also highlight the necessity for subscription businesses to tailor their engagement strategies to align with the specific preferences of each generational group to enhance customer satisfaction and retention. Finally, this research demonstrates that leveraging data analytics to understand and cater to these diverse consumer needs could significantly improve the decision-making process and business outcomes in the highly-competitive subscription market.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.07.054
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
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article

Generational Variations in Customer Engagement, Satisfaction and Churn Rate: A Study of the Subscription Market

Moutaz Haddara, M. Langseth, Cheyenne van de Port
Procedia Computer Science
Technology Adoption and User Behaviour
article

Generational Variations in Customer Engagement, Satisfaction and Churn Rate: A Study of the Subscription Market

Moutaz Haddara, M. Langseth, Cheyenne van de Port
article en

Abstract

This study investigates the relationship between customer engagement, satisfaction, and churn within the subscription service market, focusing on how these elements vary across generational cohorts. Utilizing descriptive and inferential statistics of a dataset provided by IBM on Kaggle platform, this research identifies distinctive behavioral patterns influencing engagement and churn rates among different generations. The findings suggest that Generation Z requires dynamic and interactive engagement to reduce churn, whereas Baby Boomers prefer consistent and reliable interactions. The results also highlight the necessity for subscription businesses to tailor their engagement strategies to align with the specific preferences of each generational group to enhance customer satisfaction and retention. Finally, this research demonstrates that leveraging data analytics to understand and cater to these diverse consumer needs could significantly improve the decision-making process and business outcomes in the highly-competitive subscription market.

Procedia Computer ScienceVol. 263
TIAS School for Business and Society (NL), Høyskolen Kristiania (NO)
Openalex Percentile: Top 80%
Technology Adoption and User Behaviour
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