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In depth analysis of the multi-user shopping mall system from search to create a profit point
2020-11-09 15:20:00 【B2B2C mall system】
Multi user mall system as a series supplier 、 Businesses and users b2b2c Online shopping business model , Be able to fill in b2b、b2c Wait for a single Mall system defects , Meet the needs of most e-commerce enterprises and merchants . The extension and coverage of the industrial chain of this mode creates a great competitive advantage for the multi-user mall system , A multi-layer profit model has been formed , at present , Multi user e-commerce system on the market Pass more advertisement 、 Order 、 Annual fee, etc How to get Profit point , Today we have ShangTao multi-user Mall The search of the system begins , see How does ShangTao create System profit point Of .
Based on user data , Analyze user search data . ShangTao multi-user mall system obtains user information through caching technology , Full page static caching , Reduce database pressure . Enterprises through the system commodity search function background management , Massive information segmentation , Statistical analysis of user search data , Get the hot commodity information over a period of time , The conclusion drawn from the data , Make overall arrangement for the sales layout of the mall , For heat keywords , Advertising space for sale , Companies make profits from it .
Develop products for keywords , Set recommendation information . stay ShangTao multi-user mall system operation , Mall operators can achieve commodity display through the background management function settings , Or set the system to update automatically according to certain rules . Mall operators according to the relevance of keywords , Develop products for keywords , Whether it is a keyword commodity or a commodity within the scope related to the heat keywords , All mall operators can carry out commodity recommendation intervention , By setting up advertising space , Attract merchants to buy advertising space , Make profit points for the mall .
by industry Recommend the store , Create opportunities to show . ShangTao multi-user mall system in search , Store recommendation as an extension , Under normal circumstances , Businesses want to highlight their store information , Need to buy advertising space . After the merchant pays , Mall operators intervene by recommending locations , Make the store information of the merchant be located in the highlighted position in the system store street , It helps to improve the popularity of stores , Increase product exposure , Guide the user's deep browsing , Increase the sales rate of goods , The enterprise obtains the profit point , Create a win-win situation .
ShangTao's multi-user mall system carries out data analysis through search function , Mining the profit point , To achieve profit extraction , To achieve better profitability .
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