Chapter 1 Introduction

Catalog

1. Background and research significance

2. Innovation of big data analysis technology in the sales process of the real estate market

2.1 The situation of housing in short supply has been changed

2.2 Data analysis promotes the development of real estate industry

3. Conclusion

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1. Background and research significance

In recent years , The process of urbanization in China continues to improve , The real estate industry has ushered in a new era of development , Related enterprises are affected by
To the impact of market sales , Need to apply new technology to support marketing , Rationalize the purchase tendency of consumers in the market , It can alleviate the impact of the times on traditional sales methods , A new sales model based on big data , It can promote the sales of real estate enterprises in the market development . Enter the era of big data , Real estate sales are facing great challenges and development opportunities , Introduce big data technology , Continuously optimize data information , Choose more valuable information , Take it as a huge data set for professional analysis , It can provide more valuable marketing information for real estate enterprises . therefore , Whether it is the market equilibrium price change of the real estate industry , Or is there a change in the demand of modern consumers for house purchase , Should become the marketing focus of real estate enterprises , Actively apply the comprehensive advantages of big data analysis technology , Can enhance customer satisfaction with the service .

2. Innovation of big data analysis technology in the sales process of the real estate market

2.1 The situation of housing in short supply has been changed

The development of the real estate industry is highly variable , The real estate market has now shown “ supply exceeds demand ” The situation of . House prices are high , The classification of cities leads to many vacant houses not being sold , However, in first tier cities such as Beijing, Shanghai and Guangzhou, house prices are still rising in a straight line . Relevant departments or enterprises have fully exploited the value of market data through the application of big data analysis technology . Therefore, real estate enterprises can analyze according to big data , Learn more about consumers' demand for house purchase in the current market .

2.2 Data analysis promotes the development of real estate industry

Big data analysis technology can make a comprehensive study of market dynamics and consumer concepts , Reflect the potential information , Than
Such as , Real estate enterprises can control the first tier cities by analyzing consumers' satisfaction with housing prices 、 Housing prices in second tier cities and third tier cities . The house price index of previous years is obviously different from that of now , In recent years, the housing price index has decreased significantly , In most areas of the first tier cities, house prices have rebounded , Only a few areas have seen their housing prices fall . From the analysis of these data , The government departments have made macro-control on the development of the domestic real estate industry , So we can strictly control the continuous growth of house prices , This is also the embodiment of the application achievements of big data analysis technology , Real estate enterprises can also make use of such achievements , In depth analysis of the market , The application of big data analysis technology indirectly promotes the rapid development of the real estate brokerage industry .

3. Conclusion

The sales system of real estate enterprises should be improved based on big data technology , Through the accurate analysis of consumer demand in the market , do
Good market positioning of enterprise products , Establish a sales network suitable for the current market development , Effective integration of housing resources , To achieve the sales target set by the enterprise . meanwhile , Enterprises should also guide the needs of consumers , Apply big data analysis technology to various functional areas of the real estate market , So that it can gradually become an important factor in real estate sales , Make theoretical research on the massive data in the industry , Help enterprises develop more scientific marketing strategies .