Abstract: The disclosure discloses a statistical method and apparatus for webpage access data. The method includes that: an initial dataset of user-accessed page behaviors is collected; first-time access data of a user is extracted from the initial dataset; the first-time access data is judged by using a pre-set judgement model to obtain a judgement result; when the judgement result is contrary to a pre-set result of the pre-set judgement model, dating-back matching is performed in the initial dataset by using the first-time access data to obtain associated access data; and the initial dataset is spliced and repaired based on the associated access data to obtain a repaired dataset. By means of the disclosure, the problem in the traditional art that the user identification accuracy is dissatisfactory due to the loss of Cookie information is solved.

Abstract: The disclosure discloses a statistical method and apparatus for webpage access data. The method includes that: an initial dataset of user-accessed page behaviours is collected; first-time access data of a user is extracted from the initial dataset; the first-time access data is judged by using a pre-set judgement model to obtain a judgement result; when the judgement result is contrary to a pre-set result of the pre-set judgement model, dating-back matching is performed in the initial dataset by using the first-time access data to obtain associated access data; and the initial dataset is spliced and repaired based on the associated access data to obtain a repaired dataset. By means of the disclosure, the problem in the traditional art that the user identification accuracy is dissatisfactory due to the loss of Cookie information is solved.

Abstract: The disclosure discloses a method and a system for measuring a web advertising effect based on a multiple-contact attribution model. The method comprises: collecting user access information and purchase transformation information of a website, and uploading the user access information and purchase transformation information to a server side; cleaning data for the user access information and the purchase transformation information on a server side; calculating contact contribution value data and importing the contribution value serving as fundamental metrics and contact information serving as dimensionalities into OLAP database, and aggregating data. The method and the system can help an advertiser to understand actual web advertising effect from a number of perspectives to accurately measure underestimated or overestimated channel value in conventional methods, thereby providing the most accurate data support for optimizing web advertising and improving rate of return on investment.