The invention discloses an advertisement pushing flow
data analysis processing method based on digital twinning, and relates to the technical field of advertisement pushing, and the method comprises the steps: collecting data, constructing a feature
library containing three types of features, building a virtual scene and a
simulation system through digital twinning, and constructing a multi-stage engine for dynamically adjusting a threshold value at the same time.
Simulation data is generated and screened to obtain candidate schemes, and results are output after trial push
verification optimization, so that the advertisement push accuracy, efficiency and compliance are improved, and the cost risk is reduced. According to the method, a virtual scene and
traffic simulation system is constructed by a digital twinning technology, dynamic scenes such as real-time adjustment capability and traffic fluctuation capturing of a multi-stage dynamic engine are combined, traffic loss is avoided through threshold and
weight adjustment, the click rate and conversion efficiency are improved, accurate
resource allocation and compliance
adaptation are realized by relying on multi-
dimensional simulation, screening and trial pushing, and the method is suitable for large-scale popularization and application. Through full-link optimization, the strategy adaptability and ROI are improved, the traditional limitation is solved, and an efficient and intelligent full-process advertising scheme is provided.