| Issue |
E3S Web Conf.
Volume 218, 2020
2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 5 | |
| Section | New Energy Development and Energy Sustainable Development Optimization | |
| DOI | https://doi.org/10.1051/e3sconf/202021802004 | |
| Published online | 11 December 2020 | |
Marketing Plan Design for Classified Website Based on Big Data
Kang Chiao International School East China, Suzhou, Jiansu Province, P.R. China
e-mail: beyond_dreams@163.com
With the background of big data, it is getting better and better for the marketing environment of classified information websites. Meanwhile, society is progressing, and the traditional marketing model is bound to develop and change, ranging from the beginning of 4P marketing theory (product, price, channel, publicity) to the 4C marketing theory (customer, cost, convenience, communication) to the current 4R marketing theory (association, reaction, relationship, remuneration), with different focus on the specific marketing theory. Therefore, this paper presents an active exploration of big data as the core marketing model for classified information websites.
© The Authors, published by EDP Sciences, 2020
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