| A search engine is a specific computer program designed to search for information on World Wide Web according to instructions. It organizes and processes information for users to retrieve and shows relevant information on user's system. Vertical search engine is a new kind of search engine that sprang up since 2006. CS Finance Search is the first vertical search engine in the field of finance and economics, featuring real-time transaction information search, which contains more than 4 million pieces of information from nearly 100 leading financial and economic media. It is considered to be a giant financial and economic information bank, updating 10 thousand pieces of information every single day.Through study on the development strategy of CS Finance Search, the thesis gives suggestions on finance search engine's operating statics. Based on its research, the thesis expects to solve the three challenges that CS Finance Search may face: First, how can CS Finance Search follow the trend of the vertical search field in the future; Second, how can CS Finance Search make use of its own advantage to improve the existing product structure; Third, explore a more diversified profit model for CS Search Finance.In this context, CS Finance Search Development Strategy combines the field survey with data analysis based on the theories of strategic management. Firstly, it uses Port's Five Forces model to analyze the finance search industry. Secondly, it diagnoses the CS Finance Search by taking SWOT matrix. Then the thesis works out CS Finance Search's future development strategy by positioning it as "A treasure map for you". Finally, the thesis summarizes some concrete implementation plan. Here is some enlightenment: technical engineer and new media product manager is the key to talent training plan. Mobile products should be started in no time to deal with the competition in future development of search field. In order to improve the function of existing products, two things need to be done: First, optimize the key technique of search engine. Second, introduce social context and interactive mode to the existing product form. Moreover, in addition to its advertisements revenue, CS Finance Search can take use of big data aggregation mode to build a shopping guide platform for finance products and make breakthrough in finance-related public sentiment business.As we look to the future, with the popularization and rapid development of mobile internet, the mobile product users will be more than PC product users, and mobile search will become popular in the next two years. We can expect that mobile search will highly integrative with navigation and positional capabilities in the future. Therefore, in future I will focus on how the CS Finance Search break away from the mobile search. |
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