The Application Of Time Series Analysis In Hospital Network Marketing

In this paper, the application of time series analysis in the hospital network marketing is studied. This paper introduces the present situation of armed police hospital network marketing and the existing problems, by using time series analysis method, the network marketing’s earnings is forecasted and the optimization measures to improve website are presented. Specific content as follows:First this paper introduces the present situation of hospital network marketing, analyses the difference between network marketing and traditional marketing model, the core of the network marketing, network marketing present situation and future development trend.Secondly, this paper introduces the present situation and problems of armed police hospital network marketing present situation and problems, for example the lower of traffic and visits, not greater conversion rate, the lower the amount of business to an entity Hospital, the lack of marketing-oriented visitors with hospital website design, missing visitors file management, information retrieval query function is not strong, the web site credibility is not high, website too pursuit of the art effect and making use of the effect is not obvious, and the department of personnel configuration is not reasonable.Finally, in view of the above listed problems, network marketing improvement measures are proposed. Setting and layout for web column are improved, and the floating business window is added in the same time for more conducive to patient friends online consultation and reservation. Website filled content are designed from the source, and begin to fill high quality articles. Included method was carried on the website for search engine optimization, more in line with the principles of search engine. By using time series analysis method to analyze the profitability of the various department of the Networks Division, the profitability is forecast to find out the difference between profitability and earnings level of various department s, and thus the reasonable adjustment staffing, in order to obtain increased profits.