Client knowledge remains a key strategic point in hospitality management. However, the role that can be played by large amounts of available information in the Customer Relationship Management (CRM) systems, when addressed by using emerging Big Data techniques for efficient client profiling, is still in its early stages. In this work, we addressed the client profile of the data in a CRM system of an international hotel chain, by using Big Data technology and Bootstrap resampling techniques for Proportion Tests. Strong consistency was found on the most representative feature of repeaters being traveling without children. Profiles were more similar for British and German clients, and their main differences with Spanish clients were in the stay duration and in age. For a vacation chain, these results suggest further analysis on the target orientation towards new market segments. Big Data technologies can be extremely useful for analyzing indoor data available in CRM information systems from hospitality industry. •Big Data technology is useful yielding specific guest profiles from CRM hotel information.•Proportion differences using Bootstrap resampling yield detailed characterization of the client profile.•Repeaters included features such as traveling without children.•Repeaters were similar between German and English but different from Spanish.•German and English included the elderly staying for longer periods whereas Spanish were short-term and younger ones.