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A shopper portrait construction marketing method and system based on viewing big data

A shopper and big data technology, applied in the field of big data, can solve problems such as unsatisfactory marketing SMS, high user churn rate, low portrait accuracy rate, etc., to achieve strong pertinence, reduce user churn rate, and improve accuracy rate

Active Publication Date: 2019-05-03
MAYWIDE TECH
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] In the process of TV marketing based on user portraits, the existing method is to divide user portraits according to the channels and program schedules watched by TV users, and then conduct SMS marketing through user portraits. The accuracy of the portraits obtained by this method is low, and the Make users receive unsatisfactory marketing text messages, resulting in a high user churn rate

Method used

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  • A shopper portrait construction marketing method and system based on viewing big data
  • A shopper portrait construction marketing method and system based on viewing big data

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Embodiment Construction

[0052] The present invention will be further explained and described below in conjunction with the accompanying drawings and specific embodiments of the description. For the step numbers in the embodiment of the present invention, it is only set for the convenience of explanation and description, and there is no limitation on the order of the steps. The execution order of each step in the embodiment can be carried out according to the understanding of those skilled in the art Adaptive adjustment.

[0053] refer to figure 1 , the embodiment of the present invention provides a shopper portrait construction marketing method based on viewing big data, comprising the following steps:

[0054] Generate user portraits corresponding to commodity categories and commodity prices based on user viewing data and commodity data;

[0055] Identify sales groups through user portraits according to the category and price of the products to be sold;

[0056] Carry out commodity marketing to s...

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Abstract

The invention discloses a shopper portrait construction marketing method and system based on viewing big data, and the method comprises the steps: generating a user portrait corresponding to a commodity category and a commodity price according to user viewing data and commodity data; according to the category and price of the to-be-sold commodity, identifying the crowd purchasing through the userportrait; performing commodity marketing on the purchasing crowd through marketing short messages; and analyzing the purchase conversion rate of the commodity according to the commodity marketing result, and optimizing the user portrait. According to the method, the user portrait is depicted according to the user viewing data and the commodity data at the same time, the user portrait accuracy is improved, short message marketing is performed based on the accurate user portrait, the pertinence is high, and the user churn rate is reduced; in addition, the user portrait can be optimized accordingto the marketing result, the accuracy is further improved, and the method can be widely applied to the technical field of big data.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a marketing method and system for constructing shopper portraits based on viewing big data. Background technique [0002] Big data refers to the collection of data whose content cannot be captured, managed and processed by conventional software tools within a certain period of time. Therefore, some big data technologies have appeared on the market to quickly extract data from various types of data. Gain valuable capabilities, including massively parallel processing (MPP) databases, data mining grids, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems. The viewing big data is the data of the user's interactive behavior on the TV terminal collected through the data return of the set-top box where the user watches TV. [0003] Portrait refers to the comprehensive evaluation of users based on the big data platform...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCY02D10/00
Inventor 白云龙唐昊杨倩诗
Owner MAYWIDE TECH
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