Social Listening for Customer Acquisition

نویسندگان

  • Juan Du
  • Biying Tan
  • Feida Zhu
  • Ee-Peng Lim
چکیده

Social network analysis has received much attention from Corporations recently. Corporations are trying to utilize social media platforms such as Twitter, Facebook and Sina Weibo to expand their own markets. Our system is an online tool to assist these corporations to 1) find potential customers, and 2) track a list of users by specific events from social networks. We employ both textual and network information, and thus produces a keyword-based relevance score for each user in predefined dimensions, which indicates the probability of the adoption to a product. Based on the score and its trend, out tool is able to pick up the potential customers for different kinds of products, such as suits which are daily supplies and diapers which are sudden needs. In order to get a more robust and accurate relevance score, we filter the user network and only consider the off-line close friend network. In addition, we could track users in a more flexible way. Despite of the pre-defined dimensions, our tool is also able to track users by customized events and catch those who mention the event at an early stage.

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تاریخ انتشار 2013