A method and system for monitoring demographic attributes of Internet advertisement audiences

Abstract

The invention relates to an internet advertisement audience population ascribed characteristic monitoring method and system. The internet advertisement audience population ascribed characteristic monitoring system comprises an advertisement statistic server, a sample statistic server, a user computer and an advertisement embedded code extracting source. The internet advertisement audience population ascribed characteristic monitoring method includes one step of borrowing thought of a fixed sample set, maintaining a group of relatively stable internet users, requiring users to provide population ascribed characteristic information in an early recruit period, the other step of marking the users as an advertisement audience through a browser cookie technology with the help of advertisement embedded codes when the users browse or click an advertisement, and then enabling a data collecting client side to actively capture a mark and feeding a result back to the servers. The users are not interrupted, and advertisement experience can not be influenced. Meanwhile, population ascribed characteristic data of the users are durable and usable, and high-degree reuse of different advertisements is achieved.

Description

technical field [0001] The invention relates to a method and system for detecting population attributes of Internet advertisement audiences, which combines "advertisement embedding" technology and fixed sample group technology, and belongs to the field of Internet advertisements. Background technique [0002] In the process of Internet advertising delivery, in order to evaluate the actual effect of the advertisement, the advertiser needs to understand the situation of the audience who has placed the advertisement, including the size, participation and demographic attributes of the audience. Among them, the demographic attribute of the advertising audience is a description of the characteristics of the people who actually saw and participated in the advertisement. It reflects the degree of agreement between the actual audience of the advertisement and the advertising target positioning, and is an important dimension to measure the effectiveness of the advertisement. [0003] ...

AI Technical Summary

Problems solved by technology

In this process, the degree of reuse of population attribute data is low, resulting in a certain waste of resources

[0006] It can be seen that the existing methods for monitoring the demographic attributes of Internet advertising audiences have problems such as "affecting the advertising experience" and "low data reuse" due to their implementation mechanism.

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