Research On Marketing Strategy Of Quantitative Investment Software Of C Financial Data Company

In recent years,with the jump in China's financial industry,a wide variety of investment options have become available.Quantitative investment has entered the vision of investors and rapid growth in the domestic capital market.Quantitative investment software has therefore been rapid popularity and rapid adoption.Quantitative investment software,through many fintech technologies such as big data,can provide investors with the whole process of quantitative processing solutions from data mining,strategy backtesting,strategy simulation to market real-world trading.At present,the mainstream financial information manufacturers and software companies have built their own quantitative investment platforms or client software by using their own data or R & D advantages,in order to obtain new traffic entry and market opportunities.Company C is a financial data company,which has launched quantitative investment software products and services based on MATLAB as early as 2012.But in recent years,with the increasing number of user groups using open source software such as Python,the original products can not meet the market demand.Because of the short development time,the new quantitative investment software can not completely replace the original software in the short term,and with the changes in the market environment,quantitative investment software is growing weakly in the stock market,while the incremental target market and positioning are not clear enough.C company's quantitative investment software is facing marketing problems such as the disconnection of new and old products and unclear market positioning.This article takes the real marketing problems faced by the quantitative investment software products of C company as the research object,with the help of classical theoretical tools such as PEST,STP and 4Ps to C company's quantitative investment software current marketing environment,target market selection and marketing strategies have been researched and analyzed,and combined with questionnaire survey statistical data,marketing strategy optimization measures and safeguards have been proposed.This paper concludes that,as a product of the data economy era,quantitative investment software still has great opportunities for development in China.The target market of Company C's quantitative investment software should be added to the customer market of academic education based on the original business market of academic education.At the same time,the quantitative investment software of Company C should be located in the data research platform,and through the opening of the data mall service,the link between data providers,data researchers and data demanders should be opened,and the micro-circulation of data application should be established.By changing the mindset from a "software company" to a "data company" and optimising the mix of marketing strategies,new market potential can be tapped.