A Closed-Loop Model for Precision E-Commerce Marketing of Wuyi Rock Tea- Strategy Development and Empirical Analysis from a Big Data Perspective
DOI: https://doi.org/10.62517/jmsd.202512421
Author(s)
Zhaoyong Ouyang*, Lina Sha
Affiliation(s)
Graduate University of Mongolia, Ulaanbaatar, Mongolia
*Corresponding author
Abstract
With the advancement of big data technologies and the deepening integration of the “Internet Plus Agriculture” initiative, e-commerce for agricultural products is rapidly evolving toward greater intelligence and precision. As a high-value agricultural product with both geographical indications and cultural significance, Wuyi Rock Tea continues to face challenges in its e-commerce marketing, including imprecise user targeting, weak content delivery, and excessive dependence on third-party platforms.In response to these issues, this study integrates the characteristics of big data with the Customer Lifetime Value model to construct a five-dimensional closed-loop precision marketing framework encompassing data collection, user insight, content-driven engagement, strategic execution, and performance feedback. To empirically validate the model, two representative cases—Songshan Shouwu Tea and Longquanyi Honey Peach—are selected for comparative analysis.Based on the research findings, this paper proposes a set of strategic directions aimed at enhancing the digital transformation and precision marketing of culturally embedded agricultural products. These include building regional multi-source data platforms to support more comprehensive information integration; developing multidimensional user profiling and tiered value segmentation mechanisms to improve targeting accuracy; creating a culture-centered content dissemination matrix to strengthen emotional resonance and brand identity; constructing a cross-platform, integrated execution system to optimize conversion pathways; and establishing feedback-driven data loops that enable continuous strategy refinement and intelligent optimization. Together, these approaches offer both theoretical insights and practical guidance for promoting more effective marketing practices in the context of culturally significant agricultural e-commerce.
Keywords
Big Data; Wuyi Rock Tea; Precision Marketing; Customer Lifetime Value; Digital Agriculture
References
[1]Zhang, Y., & Cheng, B. (2020). A model for calculating the full lifecycle value of telecom customers and recommendations for customer retention policies. Telecommunications and Information Technology, (06), 52–54.
[2]Chen, Q., Ye, Z., & Chen, H. (2020). Research and application of customer value model in the tobacco industry. China New Telecommunications, 22(17), 119–121.
[3]Li, Y., Zhang, L., & Yao, J. (2016). Study on customer lifetime value in auto insurance. Insurance Studies, (08), 100–114. https://doi.org/10.13497/j.cnki.is.2016.08.008
[4]Kang, X., Zhang, Z., He, S., & Feng, G. (2021). Research and implementation of a dynamic customer relationship prediction model based on Markov chains. Industrial Control Computer, 34(12), 26–28.
[5]Zhu, L. (2022). Social equity performance evaluation system for affordable housing layout: An empirical study based on multi-source data in Nanjing. Urban Planning, 46(09), 93–105.
[6]Jin, J., Ju, L., Zhang, Y., Si, Y., & Wang, W. (2023). Identification of cigarette consumer characteristics and value evaluation based on user profiling. Tobacco Science & Technology, 56(01), 105–112. https://doi.org/10.16135/j.issn1002-0861.2022.0531
[7]Zou, Q., Yu, Y., Chen, Q., & Zhou, H. (2025). The historical evolution and optimization path of martial arts culture communication: A qualitative analysis based on Nvivo12. Martial Arts Studies, 10(04), 23–26. https://doi.org/10.13293/j.cnki.wskx.011062
[8]Zhou, L., Xu, C., & Song, D. (2021). Research on the feedback mechanism for optimizing government data quality under the vision of smart cities. Journal of Information, 40(07), 146–156.