Bin: Mobile End commercialization is the 2013 important strategy

Sina Science and technology news May 13 afternoon, in the GMIC2013 Global Mobile Internet Conference, the joint CTO Bin Music Network released the latest data, table and said the mobile end strategy in the 2013 overall strategy of the important position. "Le Vision Mobile end of this year will be released in total 150 application version upgrades, more than 50 new features, more than 10 new applications released, 5 multi-screen mobile applications, tens of millions of mobile promotion costs, while the mobile end will be fully commercialized." Our goal is to become the most influential mobile video brand. "Bin. Bin said that not only in terms of content, but also in the cloud platform construction, based on large-screen hardware terminals (such as video box), as well as large-screen applications such as Letvstore full force, to provide users with a full chain of video extreme experience. This is the music of the ecological environment, but also the core strategy of the difference competition. At present, video network Mobile client's cumulative active user has more than 80 million, daily active users more than 7 million. This year, Le will focus on the layout of mobile Internet, in addition to the existing music video, watching music, big clicks, watching the ball, and so on, will be launched after the "music video animation" client, video capture sharing client "click" and so on. Bin said that the 2013 Le Vision of the overall strategy of the core is to strengthen the leading role of technology products, focusing on the development of a multi-screen strategy, large data platform, while strengthening the development of mobile terminals, and quickly promote the commercialization of mobile terminals. "Le Vision network will be through large data, for mobile end of commercialization to provide more accurate, flexible marketing platform." The video will be accessed by 25 million independent users each day, and the various behavioral data generated by the user during this period will be collected into our database. We will classify users based on demographics, video viewing behavior or interpersonal networks, "Bin said.