  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.
