دانلود رایگان مقاله انگلیسی تبدیل غریبه ها به مشتری با استفاده از تکنیک های وب کاوی - IEEE 2017

Abstract

Due to the exponential growth of internet using, the habits of internet users have changed. This generate huge amount of data. It becomes important to explore this mine of knowledge and take advance on concurrent. In context of digital marketing, the user’s data is the enterprise assets to personalize the content of websites and establish contact and communication with customers through internet channels. The more the enterprise has data and knows about its non-real customers the more it has the advantage to take advance and be leader. In this context inbound marking was recently born: to help marketers establishing customer-centric digital marketing strategy. On the other hand, Web mining is used to discover information through web data and construct knowledge about online customers. The web mining techniques seems to fit the best with the inbound marketing implementation. After an introduction to inbound marketing and web mining methods, this paper presents the application of web mining methods and techniques to implement an inbound marketing strategy.

CONCLUSION

In this paper we have attempted to provide an overview of the usage of web mining methods for the different stages of inbound marketing strategy .The effective establishment of an inbound marketing strategy cannot be done without the help of web mining. The advantages of using the methods and techniques of web mining reside in the nature itself of the inbound marketing principle. It is an iterative principle. Consequently, the web mining should also be iterative to collect at each iteration more data and information that conduct to knowledge and wisdom. Thus giving the company lethal weapons to survive in such a competitive market where it is difficult for the user as well as for the company to regain its bearings. The inbound marketing iterations also allow the company to develop a certain maturity in terms of digital presence against its reputation followers and reach efficiency. Once the company will have capitalize its knowledge in the digital universe, the technology used can progress to adopt other methods and support the strategy on the web such us the semantic web. The implementation of the semantic web methods will effective and efficient after industrializing web mining methods and acquire experience. The web semantic is a level of maturity that is higher and complementing the process of continuous improvement.