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This paper presents a golf putt feedback system based on sensor data collected at the putter head. The system comprises of out-of-the-box body area network components that are lightweight, mobile and inexpensive. More specifically, we employ a SHIMMER™ sensor node with an inbuilt three-axis gyroscope and accelerometer for measurement and an Android™ smartphone for data analysis and presentation. We collected data from five expert and six completely inexperienced subjects in order to facilitate the development of our algorithms. In a first step, we used a matched filter algorithm that enabled us to segment the unrestricted putting data into actual golf putts and other movements like training swings. In a second step, we analyzed the stroke phases in more depth in order to distinguish expert from inexperienced players. This was facilitated by extracting predefined movement parameters as a basis for explicit putt feedback. Finally, we transferred the algorithms that were developed during an offline data analysis to an Android™ implementation. It is capable of detecting putts and displaying instant feedback to guide players to a better putt execution. Therefore, the system can be used as an innovative personal putting coach for real-world use.