Understanding prospective clients becomes increasingly important as companies aim to enlarge their market bases. Traditional approaches typically treat each client in isolation, either studying its interactions or similarities with existing clients. We propose the Client Network, which considers the entire client ecosystem to predict the success of sale pitches for targeted clients by complex network analysis. It combines a novel ranking algorithm with data visualization and navigation. Based on historical interaction data between companies and clients, the Client Network leverages organizational connectivity to locate the optimal paths to prospective clients. The user interface supports exploring the client ecosystem and performing sales-essential tasks. Our experiments and user interviews demonstrate the effectiveness of the Client Network and its success in supporting sellers' day-to-day tasks.

中文翻译：

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客户网络：预测新客户的交互模型

随着公司旨在扩大其市场基础，了解潜在客户变得越来越重要。传统方法通常孤立地对待每个客户，研究其与现有客户的交互或相似之处。我们提出了客户网络，它考虑了整个客户生态系统，通过复杂的网络分析来预测目标客户的推销成功。它将新颖的排名算法与数据可视化和导航相结合。基于公司和客户之间的历史交互数据，客户网络利用组织连接来定位到潜在客户的最佳路径。用户界面支持探索客户生态系统和执行销售基本任务。