Method for marketing promotion based on big data

Abstract

The invention discloses a method for marketing promotion based on big data, and the method mainly comprises the following steps: 1, collecting customer data of a sales case; carrying out the data portrait analysis of high inclination customers, and building customer group features; 3, locking the groups with the similar features in the population big data according to the customer group features built at step 2, and locking the position of a usual residence place of the groups with the similar features and the position of a building; 4, carrying out the advertising at the sales building or in the 10km-range nearby the usual residence place of the customers with the high inclination, or at places with the higher visitor flow. Through the behavior analysis of an urban group structure and the customers with the high inclination, the method can lock the features and position of a target customer group more accurately, provides the data basis for the ways and modes of marketing promotion, achieves the more scientific marking promotion, and can obtain the better investment return.

Description

technical field [0001] The present invention relates to the technical field of a marketing method, in particular to a method for expanding customers based on big data marketing. Background technique [0002] In many traditional industries, such as automobiles, real estate, and the selection of channels for marketing and promotion, most of the traditional methods choose to place advertisements in places with high traffic, such as subways and portal websites. After having certain marketing experience, according to the analysis of previous marketing effects, guide the selection of subsequent marketing channels. [0003] The current practice lacks a more scientific basis for guidance, and simply uses traffic indicators to guide the selection of marketing channels. Although from the perspective of probability, places with high traffic are more likely to facilitate transactions than places with low traffic, but how to choose more targeted routes with the same high traffic require...

AI Technical Summary

Problems solved by technology

Although from the perspective of probability, places with high traffic are more likely to facilitate transactions than places with low traffic, but for the same high-traffic route, how to choose more targeted routes requires more factual basis

However, the existing post-event marketing analysis is more about the analysis of marketing input and output, and it is difficult to provide guidance for the selection of marketing channels in different environments.

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