The visitor portrait function analyzes the characteristics of customers (buyers) visiting the store, allowing merchants to grasp the buyer portrait, so as to optimize products and promote operations more targetedly, improve store traffic conversion, and tap potential business opportunities. Click “My Alibaba”. “Data Manager”-“Customer”-“Visitor Portrait Access” command to open the “Visitor Portrait” page.
“Visitor Portrait” has 4 basic functions, namely visitor composition analysis function, visitor store keyword and preference keyword sorting function, visit product sorting function, and regional feature analysis function.
The visitor composition analysis function allows sellers to understand the composition of store visitors through data. In terms of product design, it supports viewing the proportion of new and old store visitors in three terminals (PC, APP, WAP) and three time periods (nearly 7 days, nearly 30 days, and nearly 180 days). The proportion of blue-label buyers and the proportion of large-scale buyers who have completed transactions within 90 days. The analysis of the proportion of new and old visitors can allow sellers to detect whether the diversion of new customers or the activation of old customers is effective: as well as the effect of store visitor operation in a certain period of time in the past, and the customer’s second visit rate
Here, old visitors refer to buyers who have visited the seller’s store more than twice in the selected period; new visitors refer to buyers who have visited the seller’s store once in the selected period: the proportion of blue-label buyers refers to the proportion of buyers with blue labels, and the quality of store visitors is analyzed: the proportion of platform transaction buyers within 90 days refers to buyers who have made online transactions on Alibaba International Station within 90 days.
The ranking of visitor keywords can allow sellers to clearly understand the TOP20 rankings and month-on-month growth of buyers’ store search terms: preferred keywords can discover all other preferred search keywords of store visitors on the platform, understand buyers’ other search preferences, enrich the keyword library, and improve keyword coverage.
The visit product ranking function displays the ranking of the TOP20 products with the highest number of store visitors, and each product is reflected in the length of stay in each time period, so that sellers can understand the attractiveness of the product on the buyer side and help sellers optimize products in a targeted manner.
The regional characteristics analysis function can present the TOP20 according to the visitor’s country or region; it helps sellers analyze the market and target country advertising, and accurately market to the target market.