1, through the big data marketing
Through the big data marketing can effectively save the enterprise or e-commerce platform marketing costs, but also through the big data to realize the precision of marketing, to achieve precision marketing.
By analyzing big data to analyze the consumer's consumption preference, after the consumer inputs the keywords, to provide products with higher degree of match with the consumer's consumption preference, to save the consumer's time cost of searching for commodities, so that the two sides of the transaction to realize the rapid docking. Realize e-commerce platform or enterprise marketing efficiency. In the era of data, targeted marketing for consumers can achieve precision marketing, improve the order rate of products, and enhance the marketing efficiency of e-commerce.
2, personalized shopping guide service
For e-commerce platforms, users are often provided with a number of recommendations and shopping guide services. Through the analysis and mining of big data, the personalization of shopping guide services can be realized. For the consumer's age, gender, occupation, purchase history, purchase of goods, query history and other information, the consumer's consumption intention, consumption habits, consumption characteristics of the systematic analysis, according to the analysis of big data for consumers to develop personalized recommendations and shopping guide services.
The use of big data can offset the impact of the virtual nature of e-commerce, enhance competitiveness, and tap more potential consumers. In response to the consumer's consumption preferences, appropriate advertising and promotion to enhance the conversion rate of product advertising, while providing personalized shopping guide services.
For some large-scale e-commerce platforms, there is a wide range of products, and in order to increase consumer consumption and order rates, we need to analyze consumer preferences and take the initiative to push products. This way of analyzing big data not only enhances the browsing volume of products, but also provides a push of products in response to the consumer's consumption needs, enhancing the consumer's user experience, and thus improving consumer loyalty.
3, to provide data services for merchants
Big data analysis can not only help e-commerce platforms to improve the order rate and sales, but also the analysis of big data as products and services to small and medium-sized e-commerce merchants for sale. This not only improves the platform's revenue, but also helps merchants understand consumer preferences, consumer preferences for the type of product and other information, to help merchants in a timely manner for the majority of consumer preferences as well as market dynamics, product performance and other research and development and adjustment.
Expanded Information:
Applications of big data:
1. The Los Angeles Police Department and the University of California have partnered to use big data to predict crime.
2, google flu trends (Google Flu Trends) using search terms to predict the spread of bird flu.
3, statistician Nate. Silver (Nate Silver) use big data to predict the 2012 U.S. election results.
4. MIT uses cell phone location data and traffic data to create city plans.
5, Macy's real-time pricing mechanism. Based on demand and inventory, the company's SAS-based system adjusts prices for up to 73 million items in real time.
6, the medical industry has long encountered the challenge of massive data and unstructured data, while in recent years many countries are actively promoting the development of medical information technology, which makes many medical institutions have the funds to do big data analysis.
Baidu Encyclopedia-Big Data