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Research On Precision Marketing Of Nanjing Rongping Pharmacy Under Big Data

Posted on:2020-03-02Degree:MasterType:Thesis
Country:ChinaCandidate:P RenFull Text:PDF
GTID:2439330572965376Subject:Business administration
Abstract/Summary:PDF Full Text Request
With the development of network technology,it has brought the important environmental foundation of big data operation and operation.The previous marketing methods and marketing methods have also been greatly changed,the extensive marketing model has been gradually changed into a precise marketing model,and the big data marketing mode is born with this.Based on the large data technology,the precision marketing model has also become the focus of the academic marketing.This article uses literature review,case study method and the theory of precision marketing and large data theory for the theoretical contact,construction of Nanjing Rong Ping pharmacy precision marketing ideas under the large data,based on the pharmaceutical retail data produced by Nanjing Rong Ping pharmacy,including the Nanjing Fang Ping pharmacy marketing data analysis,Nanjing Rong Ping pharmacy cash customer analysis,Nanjing Rong Ping pharmacy management system analysis,and then put forward the large data of Nanjing Rong Ping pharmacy precision marketing implementation way,given the large data under the precision marketing strategy of Nanjing medicine room,the precision marketing strategy.The full text is careful to study the relationship between big data and precision marketing,and then to improve the customer price effectively,and finally to improve the total sales volume and improve the profit,and provide more scientific decision for the enterprise to achieve the purpose of maximizing the profit of the enterprise.It is hoped that this study will help promote the accurate marketing of Nanjing Rong Ping pharmacy under the background of big data and improve the profits of enterprises.
Keywords/Search Tags:big data, Retail pharmaceutical enterprises, precision marketing, customer segmentation
PDF Full Text Request
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