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Enterprise Precision Marketing Strategy and Quality Management Mobile Information System Based on Customer Satisfaction.
- Source :
- Mobile Information Systems; 9/8/2022, p1-11, 11p
- Publication Year :
- 2022
-
Abstract
- With the increasingly fierce competition in the product economy, there are more and more constraints on the development of enterprises, especially from the requirements of customers. Enterprises should be committed to development and meet customer needs first. However, the existing marketing plan and quality management also take customer satisfaction into account, so this paper aims to design the enterprise precision marketing strategy and quality management mobile information system based on the customer satisfaction model. For the precise marketing strategy of enterprises, this paper proposes three indicators of product quality, product delivery, and product service based on the customer satisfaction model and uses the hesitant fuzzy set to quantify the indicator model and apply it in the information system. For the quality management system, this paper uses PDCA cycle indicators to upgrade and optimize the quality management system. The test results show that the system has achieved a customer retention rate of 95% in terms of precise marketing strategies; in terms of quality management, it has improved the quality of enterprise products by about 20%. In the overall test of the system, the communication delay and reliability of the system are obviously optimized. This proves that the system can adjust the marketing strategy in real time according to the opinions of customers, achieve the purpose of precise marketing, and improve the quality management to a new height in line with customer satisfaction which shows that the information system designed in this paper can meet the purpose of precise marketing strategy and quality management of enterprises. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1574017X
- Database :
- Complementary Index
- Journal :
- Mobile Information Systems
- Publication Type :
- Academic Journal
- Accession number :
- 158992875
- Full Text :
- https://doi.org/10.1155/2022/2105383