By opening up the social media section, Foreign Trade Cow has achieved accurate recommendation and conversion of target customers.

By opening up the social media section, Foreign Trade Cow has achieved accurate recommendation and conversion of target customers.


With the further development of the "One Belt, One Road" national strategy and the introduction of the national e-commerce "13th Five-Year Plan", the vigorous development of cross-border e-commerce industry has become the focus of work in various regions, and governments and enterprises around the world are making continuous efforts for the development of cross-border e-commerce industry. Governments and enterprises are making continuous efforts to develop the cross-border e-commerce industry.


Foreign trade cattle is based on big data analysis, multilingual website building system, using four systems (intelligent multilingual website building system, intelligent marketing system, intelligent monitoring system, social conversion system), to create a one-stop integrated foreign trade marketing system for customers. At the same time, the use of SEO + SEM + SNS precise flow for customers to solve the foreign trade marketing promotion exposure difficult, less inquiries, low conversion of the dilemma. This project has been reported by hunting cloud network.


But in the founder Xiao Bixiang's view, foreign trade cattle can also play a greater value. "Globalization has developed to the point where Made in China has turned into Made in China quality, and building Chinese brands has become the main theme for exporters going global." In order to improve product value and user experience, the team once again started from the essence of marketing, and based on multiple research and the use of big data, determined to upgrade the functions of Foreign Trade Cow comprehensively by broadening the customer acquisition channels mainly through social media, while improving the product experience of users.


Foreign Trade Cow 3.0 achieves accurate recommendation and efficient conversion of target customers. The new social function of Foreign Trade Cow is able to respond to the 5 global social platforms (Facebook, Twitter, Linkedin, Google+, YoTube), helping enterprises to quickly match to precise customer groups.


Xiao Bixiang said, "Foreign trade enterprises do not lack customer resources, what they really lack is accurate customers, a large number of non-accurate customer resources, not only cost the enterprise huge financial and time costs, but also will continue to widen the gap with peers, which is a practice that is not worth the loss". To this end, the Foreign Trade Cow team conducts in-depth research on the accuracy and characteristics of different algorithms, and then combines them with the relevant big data resource base to intelligently recommend target customers for users, increasing the accuracy of customer recommendations by 80%.


Obtaining target customers is the first step of marketing, but also requires effective conversion of customers, so Foreign Trade Cow develops automatic customer dynamic tracking and reminding function, so that users can grasp the best time to take orders through customer tracking, and realize one-stop service of customer acquisition and conversion.


At the same time, Foreign Trade Cow 3.0 also realized the function of synchronous push, users only need to publish information in the background of Foreign Trade Cow, all the messages can be synchronized to social media, no need to log into the social platform again to edit and publish. Of course, users can also live chat, like, comment and share their status instantly in the FTN backend.


For future development strategies, Xiao Bixiang revealed to us that Foreign Trade Cow will continue to develop and create new technology applications based on market conditions and technical research to bring the ultimate in overseas promotion services. "In the future, the big data collected from social media can be deeply mined and comprehensively analysed, and extended in the direction of automated marketing and artificial intelligence."


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