This invention relates to the field of
computer data analysis technology, specifically a method and
system for intelligent attribution analysis of promotional effects across the entire
live streaming journey. It constructs a comprehensive data
collection system covering pre-live
stream promotion, in-live
stream interaction and conversion, and post-live
stream repeat purchases and
dissemination. Based on a unified
user identifier, it achieves cross-platform and cross-device user behavior tracking. A multi-touchpoint attribution model integrating temporal attention mechanisms and
causal inference is designed to automatically learn the dynamic contribution weights of different promotional channels and live stream stages in the user conversion path. It quantifies the conversion effects of fine-grained stages such as product explanations, giveaways, and interactive raffles during the live stream. Furthermore, it employs stream computing technology to provide real-time attribution analysis and dynamic optimization suggestions. This invention solves the problems of incomplete attribution paths, rigid models, fragmented data, lack of
causality, and insufficient real-time performance in existing technologies, providing comprehensive, accurate, and real-
time effect evaluation and decision support for
live streaming promotion.