The application provides a media
information effect attribution and budget intelligent
allocation method and
system, relates to the technical field of media information, and comprises the following steps: constructing a conversion path by analyzing a user touch sequence and calculating attribution contribution weights of each
media channel, and then obtaining an attribution return on investment. Based on this, a
budget allocation optimization model is constructed to maximize the overall return, and a target budget scheme is generated for execution. After execution, the conduction effect of budget adjustment is analyzed through a cause-effect tracking map, and feedback is fed back to optimize the attribution weight calculation, so that dynamic closed-
loop optimization and accurate effect evaluation of
budget allocation are realized.