Research Of S Online Store Customer Relationship Management Based On RFM Model

With the widespread use of the internet,a large amount of customer information has been accumulated.This information contains valuable insights into many consumer behaviors,interests,preferences,personalized needs and so on.Due to the complexity of this information,professional analysis models and methods are needed to extract valuable insights from it,and provide a more accurate basis for business decision-making.This paper primarily references the most relevant literature that has been used as the basis for operating the online store for many years.This paper is also based on the basic research model of customer relationship management.This research model is used to classify,clean,analyze,and process the combined data of customers that has been accumulated in the online store database over the years.S Online Store is an imaging,digital and optical product sales and service company.Its business covers product sales and product after-sales service and combines online and offline business methods.At present,due to the rapid advancement of smart-phones,the availability of smart phone photography is increasing,and the sales of digital cameras are declining.Single product suppliers often face huge pressures.The ability to adapt flexibly and efficiently is the key.Nevertheless,despite these mega-trends and the threat of competitive products,after several years of development,especially development of online operations,the S Online Store now has a reliable customer base.However,this customer base is relatively limited,and the customer relationship management is currently insufficient.If the S Online Store cannot rectify this situation and improve the customer relationship management system,then the current market share will become disorganized,and much harder to categorize,and could possibly lead to a declining market share.Therefore,research on customer relationship management in the S Online Store has become a high priority.The purpose of this research is as follows: 1)To use the historical data of online stores and related data mining methods.2)To use RFM models to deeply analyze customer values and conduct accurate marketing.3)To systematically classify S Online Store customers in a mobile e-commerce environment.The author believe that proper analysis of consumer behavior data is the key to coming up with different marketing solutions.This research hopes to finally conduct an empirical analysis of consumer behavior using the S Online Store as an example.