Not only capturing personal information, by analyzing the content of messages on social networks, people can do further research.
With technological strength and a large number of users abroad, Facebook does not have to spend too much money to attract the user community in Vietnam.
Wechat, stranger
Recently in the Vietnamese market, Wechat advertisements have appeared on electronic newspapers, information portals or on other applications.
At first, there was an opinion that Wechat was VinaGame’s application to replace the Zing Chat tool that failed in 2008. In fact, this is a product of Tencent, a major Chinese application developer.
So how does attracting a large number of users help Tencent while their Vietnamese competitors cannot exploit business opportunities?
Strange but familiar after a long time
Leading in revenue among internet service providers in the Asia-Pacific region, Tencent has the ambition to expand into emerging markets such as Russia, India, as well as neighboring markets.
In the same year 2010, in an article about VinaGame on Forbes, Benjamin Joffe, strategy director of digital strategy and research company Plus 8 star in Beijing, was quoted as saying that VinaGame was following Tencent’s model.
In an article researching the success of Tencent’s QQ messaging service, published in a business research magazine (January and February 2012), two authors working at Beijing University are Jane Peihusn Wu and
Although VinaGame announced Tencent as a major shareholder, it did not specify the ownership ratio.
Know the users, know them all
If there is a community of members, the business person not only holds personal information, access location, and habits, but through what they share and exchange, the business person can do further research.
Computer scientist Alan Mislove (Northeastern University, Boston) and his colleagues have built a map simulating the psychological state of Americans at each time based on analyzing 300 million messages on the social network Twitter.
Computer scientist Alan Mislove (Northeastern University, Boston) and his colleagues have built a map simulating the psychological state of Americans at each time based on analyzing 300 million messages on the social network Twitter.