Visitor behavior tracking analysis system

Abstract

The invention provides a visitor behavior tracking analysis system and belongs to the field of big data services. The system comprises a data collection module used for collecting current visitor data, a sales module used for collecting current sales data and historical sales data, a storage module, and a statistical analysis module used for performing statistical and analysis processing accordingto the current visitor data, historical visitor data, store data, activity data, the current sales data and the historical sales data to obtain visitor behavior statistical analysis results associated to stores. The system has the beneficial effects that customer flow of multiple stores in a business circle are subjected to statistical analysis, and period changes of the customer flow and visitorbehaviors are mastered for guiding store operation (operation of putting commodities on shelves and taking the commodities off the shelves, and personnel arrangement) and marketing activity adjustment; and attributes of customers entering the stores are real-time and visible, and the customer viscosity and the re-purchase rate are clear at a glance, so that accurate services are facilitated and high-quality customers are deeply cultivated.

Description

technical field [0001] The invention relates to the technical field of big data services, in particular to a visitor behavior tracking and analysis system. Background technique [0002] Whether it is the owner of the shopping mall property / brand or the tenant of the store, it is hoped that the store will attract enough customers through good operation and management. This is the basic guarantee for the store to obtain stable income and realize industrial appreciation. From this perspective, it will be effective Attracting foreign traffic and increasing old customer stickiness, repurchase rate, etc. to maximize performance contribution are the top priorities of shops. [0003] At present, large-scale commercial districts have become the main places for people to consume, entertain and shop, and they are also places where a large number of shops are settled. Such large-scale commercial districts have a large number of shops and consumers in the same space, making managers at a...

AI Technical Summary

Problems solved by technology

[0005] There are also a small number of business managers in China who have adopted the passenger flow statistics system. However, such a system is still based on simple statistics, and it is difficult to implement personalized statistics and in-depth data analysis and mining according to specific conditions.

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