Predictive Analytics Preliminary Workshop by Deka Insight

Predictive analytics models help improve marketing cost efficiency by focusing resources on the most profitable customer groups instead of spreading budgets evenly across all customers. This kind of modeling can be used to predict churn, growth potential, purchase intention, repurchase behavior, and broader customer lifetime value outcomes. The objective of Deka Insight's preliminary workshop is to derive and explore possible determinants of repurchase intention and identify practical ways to measure customer lifetime value. Agenda highlights include identifying relevant variables, discussing the right indicators for future modeling, and aligning the workshop output with real business objectives. Teams can use this foundation to move from descriptive reporting into more actionable predictive decision-making. The workshop is designed for teams that want a more data-driven foundation before building larger predictive analytics initiatives.