Lifetime Value Prediction

Lifetime value (LTV) prediction aims to accurately estimate the total revenue a customer will generate throughout their relationship with a business. Current research focuses on improving prediction accuracy by addressing data sparsity and noise through techniques like cross-domain transfer learning, multi-view frameworks incorporating contrastive learning, and specialized models that account for outliers such as "whale" customers with exceptionally high spending. These advancements lead to more effective marketing strategies and resource allocation, as demonstrated by successful online deployments resulting in significant increases in revenue and customer engagement across various industries.