Tentative Program

This track explores novel strategies and methodologies for enhancing customer retention in various industries. Emphasis will be placed on case studies and empirical research that demonstrate effective retention practices.

This session focuses on the application of predictive modeling techniques to forecast customer loyalty and behavior. Participants will discuss the implications of these models for strategic decision-making in marketing.

This track examines the role of Customer Relationship Management (CRM) analytics in fostering deeper customer connections. Insights into data-driven strategies for improving customer interactions will be highlighted.

This session delves into advanced methodologies for predicting customer churn across various sectors. Researchers will present their findings on effective interventions to mitigate churn rates.

This track emphasizes the importance of data analytics in shaping marketing strategies and decisions. Discussions will center on how businesses leverage data to optimize their marketing efforts.

This session focuses on the use of analytics to improve customer engagement strategies. Participants will explore tools and techniques that facilitate meaningful interactions with customers.