This article describes the usefulness of Web analytics for understanding the users of an academic library Web site. Using a case study, the analysis describes how Web analytics can answer questions about Web site user behavior, including when visitors come, the duration of the visit, how they get there, the technology they use, and the most popular content using an open-source Web log analysis tool. The author offers suggestions for future research into user motivations to complement the findings possible using Web analytics. (Contains 3 figures.)