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Segmenting hotel customers based on rate fences through conjoint and cluster analysis

机译:通过联合和聚类分析基于费率围栏细分酒店客户

摘要

The purpose of this study is to segment hotel customers based on room rates and rate fences. Four distinct customer segments were identified by combining conjoint and cluster analysis methods: refund seekers, 1-week advance booking lovers, price-sensitive consumers, and non-fenced consumers. The results of this study supported the effectiveness of the combined use of conjoint and cluster analysis in market segmentation. Findings could help hotel professionals understand the preferences and expectations of different customer segments, and design different hotel rate restrictions that cater for the needs of different types of customers.
机译:这项研究的目的是根据房价和房价围栏对酒店客户进行细分。通过结合联合分析和聚类分析方法,确定了四个不同的客户群:寻求退款的人,提前1周预订的爱好者,价格敏感的消费者和无忧的消费者。这项研究的结果支持联合使用和聚类分析在市场细分中的有效性。调查结果可以帮助酒店专业人士了解不同客户群的偏好和期望,并设计出不同的酒店价格限制,以满足不同类型客户的需求。

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