Data analysis method, device, equipment and medium based on reverse funnel

Abstract

The invention relates to a data analysis method, device, equipment and medium based on a reverse funnel. The method includes: obtaining historical marketing activity data and user information; performing cluster analysis on the marketing activity and user information according to the historical marketing activity data and user information, generating a marketing activity type library and a historical user portrait library, in which the marketing activity type and historical The portrait has a matching relationship; according to the historical marketing activity data, user group behavior and business trend indicators, the historical user portrait is reconstructed to obtain a new user portrait; each type of marketing activity is matched with the obtained new user portrait to obtain Construct a reverse funnel analysis matrix between marketing activity types and new user portraits, where each marketing activity type corresponds to one or more new user portraits; and use the reverse funnel analysis matrix to extract information related to planned marketing activities target user group.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a data analysis method, device, equipment and medium based on a reverse funnel. Background technique [0002] With the rapid development of the telecom market, the business complexity of operators is also getting higher and higher. In order to meet the ever-increasing demands of personalized users, it is necessary to "super-segment" the stock users in order to accurately delineate different user groups, so as to launch suitable products and marketing activities according to the needs of different user groups. [0003] The traditional grouping method is to label all users first, and then divide the user groups according to the characteristics of the labels. This method is mainly used in the promotion of telecom package products with a long life cycle, but it is not enough to support marketing activities with a short life cycle and strong timeliness. [0004] To f...

AI Technical Summary

Problems solved by technology

[0005] The above-mentioned funnel analysis method relies on manual experience and judgment, because in the screening process, although the screening conditions are calculated by the system according to the customer tags, the configuration and combination of the screening conditions need to be completed manually

In addition, this method can only exclude unqualified users, but cannot automatically analyze which user group is most suitable for a specific marketing campaign

As a result, this approach resulted in a lower success rate of business department outbound calls and poor execution of marketing campaigns

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