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Identifying and targeting visitors on an e-commerce website with personalized content in real-time is extremely important to marketers. Although such targeting exists today, it is based on demographic attributes of the visitors. We show that dynamic visitor attributes extracted from their clickstream provide much better predictive capabilities of visitor intent. In this demonstration, we showcase an interactive real-time user interface for marketers to visualize and target visitor segments. Ourdoi:10.1145/2600428.2611180 dblp:conf/sigir/PaiG14 fatcat:lfxwu5red5dxxixsacxgsmyyqi