Tourism product consumers clustering for developing the tailored marketing mix

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The constant change in consumer preferences requires adjusting sales strategies according to the consumer’s current needs. The study aims to cluster the consumers of tourism products based on the factors influencing their decision-making process when choosing tourism products and to classify them according to the marketing mix. The study is based on the analysis of data from 196 respondents in the Lviv region, collected through an online survey using Google Forms in the first decade of 2023. The sample is representative, as it was calculated considering the population of the Lviv region aged 16 and above, ensuring the results’ reliability and relevance. The results revealed that representatives of each cluster are, on average, willing to spend up to 10,000 UAH per person during their vacation. In the decision-making process regarding the purchase of components of a tourist product, accommodation holds the most significant importance for representatives of the first and second clusters (4.51 and 3.27, respectively), insurance is the most important for the third cluster (4.71), and food is the priority for the fourth cluster (2.54). The decisive components of tourist services and risks for all clusters include up-to-date information about the vacation destination and pandemics/diseases, although the significance of their influence varies. Additionally, the clusters differ regarding the elements of place and promotion of tourist products. The results demonstrate that the marketing mix elements vary across clusters despite certain similarities in respondents’ assessments.

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    • Figure 1. Research conceptual model
    • Figure 2. Algorithm of tourism product сonsumers сlustering for developing the tailored marketing mix
    • Figure 3. Average values of assessments of the impact of tourism product components by cluster
    • Figure 4. Average values of assessments of the impact of tourism service components by cluster
    • Figure 5. Average values of assessments of the impact of tourism risk components by cluster
    • Figure 6. Group values of tourism product components by cluster
    • Figure 7. Group values of tourism service components by cluster
    • Figure 8. Group values of tourism risk components by cluster
    • Table 1. Overall scores for each component by clusters
    • Table 2. Marketing mix for forming strategies by clusters
    • Conceptualization
      Nataliya Chukhray , Kateryna Yarmola
    • Investigation
      Nataliya Chukhray , Kateryna Yarmola
    • Methodology
      Nataliya Chukhray , Kateryna Yarmola
    • Project administration
      Nataliya Chukhray
    • Supervision
      Nataliya Chukhray
    • Writing – review & editing
      Nataliya Chukhray
    • Validation
      Kateryna Yarmola, Andrii Chukhrai
    • Visualization
      Kateryna Yarmola
    • Writing – original draft
      Kateryna Yarmola, Andrii Chukhrai
    • Data curation
      Andrii Chukhrai
    • Formal Analysis
      Andrii Chukhrai
    • Software
      Andrii Chukhrai