Evaluating brand equity in the hospitality industry: Insights from customer journeys and text mining

Intaka Piriyakul, Shawanluck Kunathikornkit, Rapepun Piriyakul
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Abstract

To achieve effective marketing, continual enhancement of product and service quality is pivotal. Assessing brand equity encompasses diverse methods, including questionnaires and interviews, unearthing invaluable customer insights. The choice of data collection methods, driven by researchers' objectives, may extend beyond direct customer interactions to employ techniques such as text mining, extracting insights from customer posts and reviews. A study at Phuket's Amari Hotel seamlessly integrated customer journey analysis with text mining, yielding a robust hotel equity model. Notably, the findings unveiled the substantial influence of factors like location and community value on hotel equity, often overlooked in previous studies. Remarkably, the hotel accommodation room emerged as the dominant touchpoint (81 %). These insights can fuel the transformation of marketing strategies and brand equity assessment. Moreover, this framework accommodates dynamic customer behavior while delivering cost efficiencies compared to alternative machine learning methods.

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评估酒店业的品牌资产:从顾客旅程和文本挖掘中获得启示
要实现有效营销,不断提高产品和服务质量至关重要。评估品牌资产的方法多种多样,包括问卷调查和访谈,以发掘宝贵的客户洞察力。在研究人员目标的驱动下,数据收集方法的选择可能会超越直接的客户互动,而采用文本挖掘等技术,从客户的帖子和评论中提取洞察力。在普吉岛阿玛瑞酒店进行的一项研究将顾客旅程分析与文本挖掘完美地结合在一起,产生了一个强大的酒店资产模型。值得注意的是,研究结果揭示了位置和社区价值等因素对酒店资产的重大影响,而这些因素在以往的研究中往往被忽视。值得注意的是,酒店客房成为最主要的接触点(81%)。这些见解可以推动营销战略和品牌资产评估的转变。此外,与其他机器学习方法相比,该框架在实现成本效益的同时,还能适应动态的客户行为。
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