Lifetime Value

Customer Lifetime Value (LTV) prediction aims to estimate the total revenue a customer will generate throughout their relationship with a business, informing crucial decisions in marketing and resource allocation. Recent research emphasizes improving LTV prediction accuracy by addressing data sparsity and skewed distributions, particularly in applications like advertising and mobile gaming, using advanced techniques such as Siamese networks, Bayesian modeling, and multi-task learning frameworks incorporating expert systems and contrastive learning. These advancements lead to more robust and accurate LTV models, ultimately optimizing marketing strategies and increasing profitability for businesses across various sectors.