Research And Implementation Of Network Marketing Effectiveness Analysis System

In the 21 st century is an information era, the development of information technology has made our life become more convenient, with the development of network technology, network marketing is the development of better and better, a large number of small and medium-sized enterprises only meet good opportunity and challenge brought by the network marketing to achieve the development of more smoothly. As an important part of national economy of small and medium-sized enterprises, network marketing has brought the opportunity and also poses a challenge. Only adapt to the business and make good use of this opportunity to long-term development in the new era. There used to be a target market marketing method is need to support, and constantly create value for customers, to attract customers, access to quality. In the network in the modern, because a lot of the content of the site is free for Internet users to consult anytime and anywhere, very convenient, low cost is one of the biggest advantages. As search engine marketing advertising bring more profits for enterprises, more and more enterprises focus on search engine marketing advertising business, the demand of the monitoring effectiveness of advertising tools become more and more big. So this project is a full effect analysis effect tracking tool- network marketing system.This article tells the story of the network marketing effect analysis system design idea and design principle, and the system of the whole structure, each function module and system aspects and so on the working process of each part are discussed in detailed research and design. Modules, this system is divided into four categories, respectively is data acquisition, data storage, data analysis and adjustment module. Data acquisition module is specified to the customer or on the web page in real-time data acquisition. Data storage and data analysis module is the use of HDFS for data storage, analysis of huge amounts of data, get the user’s clicking behavior and browsing behavior. Finally reach the page click data tracking and monitoring data, analysis of user behavior. After adjusting module is based on the analysis of the data produced by adjusting and optimizing behavior. From what has been discussed above, we mainly use the Apache open source framework of Hadoop for big data collection and analysis, and through the HDFS data storage for accurate analysis mass storage of data. Through this system, the enterprise is implemented for each customer’s data analysis and optimization work, greatly saves the manpower, improve the working efficiency.