Study on the marketing of rural tourism destination based on the internet perspective

With the rapid development of the rural tourism in China, how to innovate and optimize the marketing mode and successfully achieve the marketing purpose is an urgent problem for the marketing of the rural tourism destination. The rapid development of Internet technology has provided new ideas for rural tourism destination marketing. Based on the analysis of the questionnaire results of rural tourists, this paper has proposed the optimization suggestions of rural tourism destination marketing from the Internet perspective. That is, building the information communication channel between rural tourism destinations and tourists based on the Internet, designing tourism products of the rural tourism destination on the basis of tourist characteristics of tourists and realizing the marketing optimization of rural tourism destinations with the help of Internet technology.

Research on the enterprise online marketing mode based on data mining

With the development and popularity of mobile networks, online shopping has gradually become a trend. For enterprises, the traditional marketing mode has been difficult to play an effective role when facing the emerging online shopping mode. This study aims to improve the revenue benefits of online shopping. This paper first introduces the traditional marketing mode and then selects the data mining model used for consumption preference segmentation to build an online marketing mode. An example analysis was conducted on a book sales company and a real estate company. The results showed that more users in this community preferred five types of books, and the percentages from high to low were teaching and learning materials, modern novels, popular science books, historical literature, and classical novels; more customers preferred online platforms among the channels for collecting information on home purchase. No matter it was the book sales company or the real estate company, compared with no fluctuation in the company’s turnover under the traditional marketing mode, the turnover of the company increased month by month after adopting the online marketing mode.

Discovering genetic diversity of Changmaogu, a rice landrace, for conservation and rural development

Changmaogu is a very rare and endangered rice landrace cultivated in a very limited area by Lama people, a branch of Bai ethnic group in Lanping County, Yunnan, China. No study on this precious landrace had been reported. This study was intended to explore the genetic diversity so as to develop strategy for conserving Changmaogu. The Changmaogu samples were compared with other three varieties (Hejing 16, Nipponbare and Hongxiangmi), using 24 pairs of SSR markers. Among all varieties, Changmaogu showed the richest genetic diversity. Cluster analysis also showed that Changmaogu can be distinguished in the genetic distance of 0.68. These data suggested that landrace is of great significance for the selection of rice varieties under the harsh environment and the acquisition of parents in the breeding work. The high altitude, low temperature and complex microbial community may be the important factors of genetic diversity in Changmaogu. The influence of ‘agriculture-processing-marketing’ mode of landraces should be continuously tracked. The strategy for conservation and sustainable development of Changmaogu was proposed in the present paper. Highlights - Changmaogu, a very rare and endangered rice landrace cultivated in a very limited area by Lama people, has more abundant genetic diversity than the three compared cultivars-Hejing 16, Nipponbare and Hongxiangmi, which enables it to adapt to changing environmental conditions, ensures local food supply and agricultural economic development, and makes it an effective supplement to the rice gene pool. - The result of UPGMA clustering analysis based on genetic distance led to the formation of three clusters, which Changmaogu had further genetic distance compared with hybrid rice Hejing 16 and rice parents Nipponbare, further revealing the utilization potential of Changmaogu in crop breeding. - The genetic diversity of Changmaogu and Hongxiangmi was compared to reveal the important position of Changmaogu in the protection of landrace, and to explore the potential impact of commercial activities on the genetic diversity of landrace. - According to the case of Changmaogu, this paper puts forward reasonable and effective strategies for the protection, which can be derived and applied to the protection of other landraces.

Improve the Effective Data Analysis Method of Enterprise E-Commerce Marketing

Under the background of Internet big data, data analysis is one of the important tools for enterprises to implement personalized e-commerce marketing and optimize their e-commerce service mode. It can not only improve the marketing ability of enterprises, but also innovate the e-commerce marketing mode. In terms of the construction of personalized and accurate e-commerce marketing service system, data analysis tools can be used to comprehensively improve the e-commerce marketing effect of enterprise products from three perspectives: product marketing, channel marketing and promotion marketing. In terms of the innovation of e-commerce service mode, an enterprise e-commerce information platform within the scope of supply chain network can be built, and the evaluation system and product traceability system of e-commerce service can be improved, so as to provide consumers with more convenient and comprehensive online services.

Scene Marketing in Digital Era

This paper describes the trend of marketing reform under the Scene marketing mode from three aspects of publicity, interaction and experience. Through the analysis of the technical means adopted in the case and the problems still existing in the scene marketing, some solutions are put forward. At the end of the paper, the conclusion is drawn that the new model of scene marketing plays an important role in broadening marketing ideas and marketing methods.

Thoughts on innovation and entrepreneurship mode reform of college students in the context of COVID-19

The employment difficulty of modern college students has become one of the common problems in the society, and the diversified employment model of entrepreneurship as employment pull has become an effective way to enhance the employment rate and boost the social and economic development. The innovative and venture education into the whole procedure of talent training has become a new education concept and reached a consensus. However, this mode of education is not immutable. Under the background of major social events and emergent social problems, creation and entrepreneurship education is faced with the challenge of mechanism and way. The research perspective of this paper is based on the multiple psychological and operational crises brought to entrepreneurs and entrepreneurs by industrial structure contradictions and marketing mode changes in the social environment of COVID-19 public events. How to turn the crisis into a business opportunity through flexible and diversified innovation education and entrepreneurship support, and better accomplish the task of creation and entrepreneurship by changing creation and entrepreneurship education and practice in various turbulent situations? Under the background of COVID-19 epidemic, this paper proposes solutions to problems existing in the practice of contemporary college students, and discusses new modes of creation and entrepreneurship for academy students.

Application of Big Data in the Promotion of Fast Selling Products

In the traditional marketing mode of fast-selling products, the sales mode of physical stores is adopted. However, in the background of the current big data era, it is a trend to optimize the promotion form by applying big data technology. Therefore, this paper puts forward the application research of big data in the promotion of fast-selling products. This paper makes an indepth study on big data technology and commodity marketing. It is believed that there is a lot of information hidden behind the information data, and the application of big data technology pays more attention to consumer behavior than before. In this paper, according to the characteristics of fast-selling products promotion activities, combined with big data technology, the effect evaluation model are established, which can better solve the shortcomings of traditional promotion activities which are difficult to evaluate. And according to the actual needs of the promotion of fast-selling products, targeted optimization is carried out. In order to further verify the data analysis ability of big data technology in the promotion of fast selling products, this paper establishes the corresponding investigation experiment. The experimental data show that big data technology can better analyze the actual effect of various promotion tools and promotion strategies, provide technical support for enterprises before and after the promotion of fast-selling products, and facilitate enterprises to adjust strategies and summarize experience. The analysis shows that big data technology has brought a variety of convenience to the promotion activities, which not only broadens the sales channels, but also provides a new basis for the decision-making of enterprises.