by Gary W. Loveman
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Review & Description
This is an enhanced edition of HBR article R0305H, originally published in May 2003. HBR OnPoint articles include the full-text HBR article, plus a synopsis and annotated bibliography. Harrah's Entertainment may not offer the most dazzling casinos in the business, but it is the most profitable gaming company in the United States. Since 1998, Harrah's has recorded 16 straight quarters of same-store revenue growth. It boasts the most devoted clientele in the casino industry, a business notorious for fickle customers. In this article, Harrah's Entertainment CEO and former Harvard Business School Professor Gary Loveman explains how his company has trumped its competitors by mining customer data, running experiments using customer information, and using the findings to develop and implement marketing strategies that keep customers coming back for more. Harrah's identified its best customers--who were not typical high rollers--and taught them to respond to the casino's marketing efforts in a way that added to their individual value. The company's customer preference data were collected through its Total Rewards incentive program; in addition, it used decision-science-based analytical tools and database marketing. This deep data mining has succeeded because Harrah's has simultaneously maintained its focus on satisfying its customers. Loveman outlines the specific strategies and employee-performance measures that Harrah's uses to nurture customer loyalty across its 26 casinos. Read more
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