User identification based website real-time/non-real-time marketing investment method and system

Abstract

A user identification based website real-time / non-real-time marketing investment method and system are provided. The method comprises: A, acquiring log information of internet surfing of a user, recorded by a website WEB server within a preset duration, and deleting invalid access data, which influences classification of user behaviors, in the acquired log information of the internet surfing of the user; B, extracting indicators for representing user behavior features according to business flow features, and extracting features from the log information of the internet surfing of the user by the indicators through taking a once browsed session, namely a session, of a single IP user as a unit object; and C, according to a feature data set of the session browsed by the user through the internet surfing, extracted in the step B, obtaining classification rule and model of user identification. Automatic triggering rules of various online marketing modes are written and a server implanted with the automatic triggering rules is used for scanning the data regularly.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method and system for real-time / non-real-time marketing delivery of a website based on user identification. Background technique [0002] With the development of Internet technology and the popularity of e-commerce, more and more service industries have begun to shift their focus to online transactions, such as the insurance industry, catering industry, entertainment industry, etc. However, unlike the face-to-face marketing model of traditional offline services, online marketers cannot contact customers face-to-face, and there are certain limitations in understanding customers' needs, which may lead to some ineffective advertisements and promotions, resulting in advertising and other marketing measures. Difficult to achieve expected goals. Therefore, effectively discovering and identifying potential customers, and then implementing targeted marketing measures based on the...

AI Technical Summary

Problems solved by technology

Since user interests are easily disturbed by time and the surrounding environment, the user's purchase tendency may change greatly before the next session, resulting in a decrease in the accuracy of the prediction results, which in turn increases the marketing cost of the website, but the corresponding user conversion rate is not higher. big boost

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