How business intelligence can help push e-commerce

E-commerce is a new type of business transaction, which is accompanied with the development of network information technology and the popularization of computer application. Unlike the traditional retail industry, its biggest feature is that everything can be monitored and improved through data, so the analysis of e-commerce website data is particularly important.

In e-commerce transactions, enterprises are often most concerned about the user's views and volume. Only the site has accumulated traffic, enterprises will be able to promote products and services to users, thereby prompting users to purchase desire to generate network transactions.

The source of the user on the site, the length of the page, page click Probability, jump relationship of these a lot of behavior, can be recorded in the site background database. Many businesses have such a sense that they rarely pay attention to how to use the data effectively. E-Commerce application Business intelligence the so-called right time, sail soft Finebi product manager Julie believes that the introduction of business intelligence, from optimizing the structure of the website, enhancing transaction relevance, precision marketing, around the customer, and so on, is crucial.

Improve website conversion rate:

A reasonable website structure enables users to quickly find the information they need, thereby increasing the user's stay time and number of transactions on the site. E-commerce Web site can analyze user access log, through the Business intelligence Data Warehouse, data mining and OLAP technology to analyze the user's preferences, how to prefer the business process, so as to improve the site layout, to obtain a better user experience.

management analysis, promotion of sales :

The application of the data Mining analysis technology of business Intelligence system can analyze the goods purchased by customers, determine the correlation between them, analyze the content and the number of links when the user enters the transaction page, and further analyze the increase of the number of clicks related links, in order to carry out the combined sales, Relevance recommendation or related display, which in turn facilitates trading.

Customer segmentation, Precision Marketing:

Through the comprehensive use of business intelligence system OLAP, data mining technology, e-commerce can be based on the customer's frequently purchased product types of customer classification, the user in a certain period of time the number of transactions and transaction volume and transaction content analysis, to get different time period of users in different content products on different transaction limits, To manage the transaction. The most direct is based on the customer's consumption amount of classification.

Improve customer Satisfaction:

E-commerce can use the business Intelligence system to conduct customer behavior analysis, monitoring members of the purchase of active days, the timely discovery of long-term non-occurrence of the purchase behavior of customers, the use of e-mail marketing method to awaken these members of different categories of customers. Can also be targeted to recommend their interests of the type of goods, to give different levels of customers to enjoy different levels of treatment.

Reduced return rate:

Due to the picture deviation, the description is not accurate and so on various reasons, the return phenomenon is very common, in the actual operation, the customer in each return processing, the enterprise backstage database will record the customer returns the reason. Through the data guide to the Data Warehouse combined with commodity tables, customer tables and other integration analysis, analysis of the defects of return goods, customer return reasons, the cost of return loss, etc., the final return to the solution and prevention mechanism, according to the reasons to improve the goods and improve service quality.

How business intelligence can help push e-commerce