Product Marketing Strategy Based On Big Data Analysis

With the continuous development of science and technology,Age of Big Data has come.Internet has accumulated a large number of data,which contains tremendous commercial value in a great variety.If the data can be collected and reorganized for marketing,exceeding profits would be created for the enterprise.However,the structure-complicated data are disparate in density and enormous in amount,as related techniques like big data mining can be used.Processing and settlement of data can be done through obtaining network trade information of clients and interactive information,so as to realize the tenet of “Taking customers as the center”,achieve constantly efficient development of enterprise and timely and accurate marketing,by way of analyzing behavior and preference of client,expanding market channel,increasing product's function,adjusting marketing strategy,undertaking market forecast and improving clients' satisfaction.On the foundation of research on development of relevant subjects of both home and abroad,this paper focuses on the following aspects of research:Firstly,the acquiring of timely and accurate data is the key to win for marketing of big data products.However,since the acquired data are from all kinds of resources on the Internet,the data shall be classified on resource type: list page collection,Meta search collection,collaborative collection and E-business collection.Product marketing of big data requires comprehensive and detailed analysis on demands of customers,as well as using Chinese words segmentation to identify Chinese semantics and avoid ambiguity.Since logic judgment is needed in the process of data acquiring,tools of “critical diagram” are developed to identify logical relationship between matters and draw the scope of data,so as to speed the mining of data through form of graphical interface.Secondly,strategic suggestions are put forward for the further development of enterprise through comparing four popular types of cars at present,detailed analysis on preference of customers,finding out customer's focus,analysis on customer's requirement on post-maintenance of vehicle and detail processing,as well as improvement direction under the current market condition.Finally,under the background of big data,methods are analyzed for enterprises to undertake external and internal modification based on their own features,so as to provide data support and development direction for making marketing and development strategies of the enterprises,in combination of both external and internal data.