Can Big Data fight precision touch the individual marketing nerves of e-commerce companies?

The recent e-commerce princes have made great strides in the industry. The old saying goes with the cloud: long sleeves, good dance, and more money, meaning relying on something, it is easy to succeed. With the enormous potential of big data, in today's Internet economy era, e-commerce companies are "talented and profitable, big Data thinking and technology are being used to influence enterprises' business decision-making and business promotion ideas. It can be predicted that the big data analysis on the Internet platform, just like the sword and armor, will surely bring a converged impact to Precision Marketing of E-commerce enterprises in the future.

　　New strategies for supporting marketing and e-commerce

Behind all kinds of popular e-commerce shopping festivals, can we see that Internet-based e-commerce enterprises are generating a large amount of data that grows exponentially? In the face of the rapid growth of data volumes, it has become possible to analyze the shopping habits, frequencies and demands of consumers on the Internet, and to explore big data-centric analysis and mining such as enterprise marketing. The big data sword after analysis is regarded as the foundation of the enterprise's competitive advantage in the future. It will change the way enterprises make decisions, create value, and implement value.

From the perspective of the future development of E-commerce enterprises, e-commerce enterprises are closely related to big data. It can be said that it is not only a sword, but also a great tool for development. Through in-depth analysis of big data, we can find out the future development direction of the market, consumer purchasing behavior, and enterprise marketing growth. In the past, market occupation relied on the market sensitivity of entrepreneurs. In the future, it relied more on the controllable analysis of data, especially the massive data from Internet platforms. In the face of thousands of big data, how can e-commerce enterprises leverage the power of data, especially the Internet platform data, to support the development of e-commerce enterprises? We need to use the internet thinking creatively and apply the Internet data after analysis and mining to e-commerce marketing. The so-called "just-needed customers who buy milk powder ", the product is successfully pushed to the customer on demand.

As a powerful tool, e-commerce enterprises are actually building an application platform for data analysis and mining, and creating an influence that drives future commercial values of data. In 2013, the No. 1 store cooperated with guoyun data company to use the company's product Big Data Magic mirror, which is based on the big data platform, data-driven business models and products such as marketing, data analysis, traffic control, Bi reports, and personalized recommendations are established. After more than a year of operation, the customer service capability of No. 1 stores has been improved, and significant economic benefits have been brought to enterprises.

What we can imagine is that in addition to using the big data platform to implement the "think of users" function, in the future, we can use the data on the Internet platform to match products that users like, at the same time, carry out active marketing strategies to improve the active purchase and sales opportunities of goods. For e-commerce enterprises, grasping the internal Big Data Platform and the third-party big data of the Internet platform will inevitably achieve a greater increase in the value of the entire e-commerce.

　　Frontend exposure to big data-driven e-commerce opportunities

The concept of big data is like the vast starry sky. If the big data application of e-commerce enterprises in the future stays in their internal data, it is often prone to the embarrassment of "blindly touching people, the full picture of consumers is incorrectly illustrated with one-sided data, which cannot fully understand its charm. Internal and external data needs to be deeply integrated with the actual needs of enterprises.

Big data is already gaining traction in the e-commerce industry. How can we leverage the value of big data? Victor Mayr Schönberger, author of The Big Data age, believes that the third industrial revolution will be a process from large-scale manufacturing to large-scale customization. The key to customized services is data. A large amount of data allows industry enterprises to better understand customer needs and provide personalized services. Therefore, in the future, the key to grasping big opportunities for e-commerce enterprises to apply big data lies in the ability to provide customized push services for users.

In addition, when talking about big data platforms, e-commerce giants have already built Comprehensive Technologies, but some small and medium e-commerce enterprises have not yet built big data. Both e-commerce giants and small and medium-sized enterprises need to use third-party big data platforms to continuously improve the conversion of data value, so as to enhance the marketing power and competitiveness of enterprises. Taking big data magic mirror as an example, it can provide powerful support for e-commerce enterprises to apply big data. We can foresee the following general trends that can be combined with the e-commerce industry in the future:

Weapon 1: On the Internet platform side, the trend and Trend from users' consumption habits, interests, relationship networks, and the entire Internet will become a hot topic of the e-commerce industry practitioners, all of this is inseparable from Internet big data analysis.

Weapon 2: Massive Data Analysis Based on Mobile Internet and mobile social platforms brings E-Commerce marketing into the Personalized era. The Application of big data analysis on the Internet platform can tell E-commerce enterprises what is the correct marketing time and direction, who is the correct user, and what is the correct content that should be published, this satisfies the needs of enterprises on the mobile Internet.

Tip 3: Further mining and analysis based on data from different platforms such as the Internet, finding the groups corresponding to the data, and then comparing these groups in a personalized manner, in order to expand the personalized product marketing services of E-commerce enterprises.

Big Data magic mirror allows you to collect, store, compute, mine, and manage big data, and use deep learning and data modeling technologies to make data more intelligent. With the big data magic mirror engine, e-commerce enterprises can help them segment consumer groups, industry segments, and consumer preferences (behaviors) in massive data, this allows e-commerce enterprises to deliver precise push services for segmented consumers, so as to meet the personalized needs of consumers and meet the marketing growth needs of E-commerce enterprises. For example, you can use the big data magic mirror to develop precise consumer advertising services tailored to different geographical locations based on the location services and features of consumers in different regions.

In fact, we can regard the big data magic mirror as an engine and engine propeller that boosts the explosion of enterprises. It is more like a big data processing platform and a consumer behavior database. enterprise users can find valuable information from a large amount of search and access request data every day. Behind these big data, magic mirror provides a variety of mining tools, forecasts, and applications for e-commerce enterprises, which can better help e-commerce enterprises to return on investment in the big data field, this is perhaps the greatest value that the big data magic mirror can provide as a support for the development of e-commerce enterprises.

Data can tell us the consumption trend of each customer, what they want, what they like, and what is the difference between each person's needs. Through an open big data platform, we can see the precise future development trend of E-commerce enterprises. We hope that e-commerce platforms will help people make purchase decisions in the future, and tell consumers when to buy products and when to buy the cheapest. Big Data is the driving force behind the prediction of product prices and trends, saving customers money and finding the best purchase time. Only with such a sword can e-commerce enterprises compete in the industry where the sea is shining, so that they can better serve consumers and improve their competitiveness.

Can Big Data fight precision touch the individual marketing nerves of e-commerce companies?