Who Holidays at Home? Segmenting Bulgarian Domestic Tourists Through Cluster Analysis

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Authors: Alexander Naydenov, Nikola Naumov, Desislava VARADZHAKOVA, Marina Raykova
Cited by: 2
References: 70

Abstract

The present study employs cluster analysis to segment Bulgarian domestic tourists based on microdata from a nationally representative survey (n = 1003) of summer holidaymakers on the Black Sea coast destinations. The primary objective is to identify homogeneous groups of tourists with similar demographic and behavioural characteristics, thereby enabling the development of more targeted tourism policies and marketing strategies. The methodological framework includes both hierarchical and non-hierarchical (k-means) clustering, applied to standardized variables such as age, household size, satisfaction with various aspects of the tourist experience, and behavioural intentions. The analysis reveals four distinct tourist profiles, each characterized by specific patterns of evaluation and travel behaviour—retirement age loyalists, middle-aged sceptics, younger moderate enthusiasts and young high loyalists. The findings reveal the heterogeneity of the domestic tourism market in Bulgaria and provide a data-driven foundation for enhancing the effectiveness of tourism management and promotional efforts.

Fields of Study & Subjects

Diverse Aspects of Tourism Research Customer Service Quality and Loyalty Digital Marketing and Social Media

Publication details

Journal / source
Tourism and Hospitality
Publisher
MDPI AG
Volume
7
Issue
1
Pages
19–19
Publication date
12 January 2026
Language
EN