Store three-dimensional marketing method based on big data

Abstract

The invention discloses a store three-dimensional marketing method based on big data. The store three-dimensional marketing method comprises the steps of 1, collecting online big data; 2, analyzing the acquired data through a data analysis tool, wherein the grabbing frequency is greater than a set first threshold value; 3, searching the consumer information through offline equipment; 4, performingadhesion degree matching with offline consumer information through an analysis result of online data; and step 5, selecting consumers meeting conditions according to a matching result of the adhesiondegree, and directionally pushing information carrying the keywords in the step 2 to the consumers through offline equipment. Online big data marketing with mature technology is converted into offline marketing public customs through big data, so that the traditional marketing means of offline stores is replaced. The pain points of the marketing means of the offline stores are solved, and the offline marketing effect and efficiency are improved.

Description

technical field [0001] The invention relates to the technical field of big data marketing, and specifically refers to a three-dimensional marketing method for stores based on big data. Background technique [0002] Big data marketing is a marketing method applied to the Internet advertising industry based on a large amount of data from various social platforms and relying on big data technology; big data marketing is derived from the Internet industry and acts on the Internet industry. Relying on the big data collection of multiple platforms, as well as the analysis and prediction capabilities of big data technology, it can make advertising more accurate and effective, and bring a higher return on investment to brands or enterprises. Use user behavior data monitoring to allocate advertising resources reasonably. Public relations is composed of three elements: social organization, the public, and communication; it is the science and art of social organizations in order to su...

AI Technical Summary

Problems solved by technology

[0003] However, online big data marketing often has the following defects for offline store sales. The user is not synchronized, mainly because the analysis user and the marketing user are not synchronized, the sample size is not synchronized, the time is not synchronized, and the user The accuracy rate is not synchronized, etc.

As a result, the secondary marketing is uncontrollable, mainly reflected in the interception of text messages, the high cost of calling, the blocking of calls, and the official account is dead fans

[0004] At present, the online marketing methods are becoming more and more mature, and still have the above shortcomings, while the marketing methods of offline stores are more difficult, but the marketing methods of offline stores are still the traditional membership marketing methods, which not only have a single means , and it is impossible to further track customers, so that accurate secondary marketing cannot be carried out, so the marketing effect and efficiency are not ideal; in addition, more and more people are willing to go out of their homes and enter large shopping malls. Accurate tracking and marketing of people in the middle of the market has become a pain point for offline store merchants

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