Large data intelligent marketing system and marketing method

Abstract

The invention discloses a marketing method of a big data intelligent marketing system, the main steps of which are as follows: S101: through the analysis of population attribute characteristics, orientate the gender, age, and education labels of the target group; S102: through the analysis of user state characteristics, orientate the target group Marriage, consumption and residence labels; S103: Through terminal device feature analysis, screen the device type, model, and system label of the target group; S104: Through the connection between the offline scene data collection device and the user, determine the user's time, location, and weather and other LBS information; S105: Use the TGI algorithm to analyze the characteristics of user interests and behavior preferences, quantify the degree of user preference, and make three-dimensional user portraits. The present invention quantifies the user's offline behavior by collecting user behavior data and offline hardware device data. The combination of user online data and offline data makes the prediction of user behavior more accurate, and produces marketing content around customer needs.

Description

technical field [0001] The invention relates to a marketing system, in particular to a big data intelligent marketing system. Background technique [0002] Marketing refers to the discovery or excavation of the needs of prospective consumers, the promotion and sales of products from the creation of the overall atmosphere and the creation of their own product forms, mainly to dig deep into the connotation of products and meet the needs of prospective consumers, so that consumers can deeply understand The process by which the product is purchased. The traditional marketing methods are mainly carried out in the form of advertisements, but with the continuous development of the Internet, marketing methods and methods have become more diversified; among customers who sell through multiple channels, there are often such questions: whether online promotion Impact on offline purchases, which channels are the best to reach customers, how to reduce overlapping advertising, and how to...

AI Technical Summary

Problems solved by technology

The traditional marketing methods are mainly carried out in the form of advertisements, but with the continuous development of the Internet, marketing methods and methods have become more diversified; among customers who sell through multiple channels, there are often such questions: whether online promotion Impact on offline purchases, which channels are the best to reach customers, how to reduce overlapping advertising, how to find potential customers who are most like my high-quality customers

This also reflects the current technological development status of the marketing industry, which mainly has the following problems: 1) The lack of customer interaction data limits the management of customer life value (lack of identification and tracking of pre-sales, in-sales, and after-sales customer data); 2) The effect of marketing activities is difficult to predict (lack of monitoring and analysis of user behavior data and dissemination data in marketing activities); 3) Waste of budget on ineffective channels (lack of digital channel value analysis); 4) Advertisements cover overlapping users Redundancy (insufficient recognition and matching of users through multiple channels or cross-terminals); S105: Unrelated advertising exposure lowers brand value (lack of accurate customer portrait and audience segmentation management); with the continuous development of the mobile Internet, big data analysis is becoming more and more It is more and more affecting people's lives. Through the analysis of a person's behavior and consumption habits, it is possible to effectively judge the customer's preferences and purchase tendencies. How to combine big data and marketing is an important issue.

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