Session Tracks
Conference Session Tracks
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
This track explores the latest advancements in customer loyalty programs and their impact on consumer behavior. Researchers are invited to present studies that analyze the effectiveness of various loyalty initiatives in enhancing customer retention.
This session focuses on the development and application of predictive models aimed at identifying customer churn in e-commerce settings. Papers should address methodologies, data sources, and the implications of churn predictions on business strategies.
This track examines innovative engagement strategies that businesses can employ to foster long-term customer relationships. Contributions should highlight empirical research on the effectiveness of these strategies in driving customer loyalty.
This session delves into methodologies for accurately measuring customer lifetime value (CLV) and its significance in strategic decision-making. Papers should discuss both theoretical frameworks and practical applications of CLV in various industries.
This track investigates the psychological and behavioral factors that influence customer loyalty. Researchers are encouraged to present findings that link consumer behavior theories with loyalty outcomes.
This session focuses on the development and application of metrics for evaluating the success of loyalty programs. Papers should provide insights into quantitative and qualitative measures that can effectively capture program performance.
This track explores the relationship between reward systems and customer engagement, emphasizing how different rewards can influence customer loyalty. Contributions should include case studies and empirical research findings.
This session addresses the challenges and strategies for retaining customers in highly competitive markets. Papers should discuss innovative retention tactics and their effectiveness in various business contexts.
This track focuses on the use of predictive analytics in managing customer loyalty and retention. Researchers are invited to share their insights on data-driven approaches that enhance loyalty management practices.
This session examines the dynamics of brand loyalty and the factors that contribute to its development over time. Contributions should explore both consumer perspectives and brand strategies that foster loyalty.
This track investigates the role of relationship marketing in enhancing customer retention rates. Papers should analyze how relationship-building strategies can lead to improved loyalty and long-term customer engagement.
