This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an urgent audit of historical purchase data to assess customer growth patterns. Students are tasked as the CMO to analyze four years of transactional data, addressing questions on customer value, characteristics, and segmentation. The case study emphasizes the importance of a thorough customer-base audit to develop strategies for sustainable growth, serving as a practical learning tool for evaluating any company's customer base health.
Academics and practitioners alike have been arguing about whether the Internet brings a revolutionary change in the fundamental way we do business or whether it simply offers a new distribution channel and communication medium. Regardless of the answer to that debate, one thing is certain: the Internet provides managers with an enormous amount of customer information that was previously unavailable. Thus, the new struggle has been to manage this information and to use it accurately and efficiently to measure customers, trends, and performance. However, the volume of this data has overwhelmed many e-commerce managers. As a result, e-commerce managers have been focusing on aggregate-level summary statistics rather than fully leveraging their data. Using commonly available clickstream data, this article discusses the benefits of separating an individual customer's buying behavior into simple patterns of visits and purchasing conversion. This analysis of the buying process allows us to examine more carefully the relationship between store visits and purchasing behavior.