restricts the development of e-commerce and
agricultural product integration.
2.3 Weak Brand Awareness of
Agricultural Products
Some farmers are still worried that their agricultural
products will not be sold, so they will not consider
expanding their scale, not to mention the trademark.
The competitive advantage of specific agricultural
products is particularly prominent in order to improve
the efficiency of specific agricultural products and
ensure the sustainable development of specific
agricultural products, brands must be established.
Generally speaking, the vast majority of farmers do
not have a strong understanding of agricultural
product trademarks, resulting in their agricultural
products can not be out of control, prices fall, external
consumers can not buy, and prices remain high (Wang
2019).
3 FEASIBILITY ANALYSIS
IT can be seen from the above problems that it is
urgent and effective for rural areas to develop e-
commerce, create characteristic agricultural product
brands, introduce big data and combine them
effectively. This chapter will explain the role of big
data environment in the development of e-commerce
for characteristic agricultural products.
3.1 Precise Positioning
Big data can provide technical support for market
segmentation strategy and accurate customer base.
Meeting customer needs is the main goal of
marketing there is still valuable potential demand in
the market any behavior of customers on the Internet
will produce information, analyze the specific and
potential needs of specific customers, and provide
targeted marketing solutions. In addition, in the era of
big data, it is more difficult for producers and farmers
to obtain a large amount of customer information.
Based on mining and integration, comprehensively
analyze customer value, purchase trend, loyalty,
microblog dynamics, personal preferences and social
relations, recent concerns, transactions, etc. Carefully
analyze the customer target group and study the
internal needs of customers and the needs of customer
groups for target products, so as to achieve accurate
marketing objectives and improve marketing
efficiency.
3.2 Cost Savings
Production and circulation are the basic costs of
agricultural production and operation. Science and
culture can reduce the production cost of agricultural
products. Online social platforms and new media can
reduce the sales cost of agricultural products. Use big
data to understand, obtain and analyze the data shared
by customers, so as to achieve the purpose of
precision marketing. Compared with the traditional
large-scale marketing, it has the characteristics of
wide coverage and high frequency. Effectively save
marketing costs and improve marketing efficiency.
Use big data to carefully analyze the e-commerce
market and customers, determine product sales,
achieve clear objectives and positioning, simplify and
adjust distribution strategies in time, and reduce
marketing costs (Wang 2018). Growers must ensure
fast and efficient marketing. Big data can understand
customers in time and take up as much time as
possible. In addition, the use of network platforms
can reduce marketing costs. Make product advertising
more diversified, increase sales channels and reduce
marketing costs.
3.3 Dynamic Tuning
In the previous marketing model, agricultural
producers passively adjusted product prices.
However, with the advent of the data age, the chain of
agricultural production from production to use has
been greatly reduced, and the information will be
transmitted in real time. Under the above conditions,
the dynamic producer price regulation strategy can be
greatly improved. The same product needs different
pricing strategies and timely dynamic adjustment at
different times and different market shares. In order
to continuously attract customers, after the products
are listed, manufacturers must quickly explore the
market, improve brand awareness and occupy a
certain market share. After analyzing the price ratio
of big data, the low price sales strategy is adopted. In
the relatively mature period of products, the brand
value can be realized, the customer base is relatively
stable and the market share is high. Data analysis
shows that consumer demand elasticity is low, and
manufacturers should adopt corresponding price rise
strategies. Obtain certain sales profit; when the
product enters the advanced stage, the company can
start producing new and improved products, as well
as other companies that have developed alternative
products. Manufacturers must adopt price reduction
strategy by analyzing big data. Producers must use
big data to analyze other factors affecting the price of