The Global Festival Attractiveness Index, developed by Yanolja Research, is a measurement tool that objectively evaluates the attractiveness of major worldwide festivals based on visitors’ cognitive and emotional perceptions, as analyzed through social data.
Festival attractiveness is a complex concept of psychological and cognitive factors that influence a tourist’s decision to visit a specific festival. According to the Push-Push Framework of tourism motivation theory, a festival’s appeal serves as a critical mediator connecting a visitor’s internal desires (push factors) with the external attractions offered by the festival (pull factors).
Unlike traditional surveys, this index leverages global user-generated content (UGC) from social media platforms to capture the authentic appeal of festivals as experienced and felt by actual visitors, offering a data-driven and scientific approach to festival evaluation.
The global festival market is rapidly expanding into a key tourism driver, attracting tens of millions of visitors annually. However, conventional festival evaluations have heavily relied on supplier-centric, quantitative indicators—such as visitor numbers, economic ripple effects, and media exposure—leaving a clear void in consumer-centric tools capable of measuring the actual "attractiveness" experienced by visitors.
Ensuring sustainable festival growth and enhancing global tourism competitiveness requires a strategic shift toward a comprehensive qualitative and quantitative evaluation system centered on the actual perceptions and emotional responses of international visitors.
The Global Festival Attractiveness Model, developed by Yanolja Research, evaluates festival attractiveness across two core pillars:
• Attractiveness: How positively do visitors evaluate a specific festival? This dimension reflects emotional responses and perceived value, measured through sentiment analysis.
• Reputation: How widely known and noticed is a specific festival among tourists? This dimension is measured through the buzz volume of global social data and global diffusion.
The Global Festival Attractiveness Model, developed by Yanolja Research, is a framework designed to objectively and quantitatively measure the attractiveness of festivals as perceived by visitors around the world through large-scale, social data-driven analysis. Unlike conventional supplier-centric evaluation methods, this model measures both the quantitative and qualitative attractiveness of festivals through a data-driven approach based on the authentic voices of visitors.
1.Purpose
• To diagnose the qualitative appeal of festivals through a data-driven approach, moving beyond quantitative metrics such as visitor numbers and economic impacts.
• To regularly compare and track the constituent elements of attractiveness across different festival types and dimensions.
• To establish an evaluation framework that offers practical utility for festival organizers, government agencies, local authorities, and tourism marketers in developing strategic initiatives.
2. Evaluation Framework
Grounded in the Push-Pull Framework of Tourism Motivation Theory and Destination Image Theory, this model structures festival attractiveness into two core pillars, three dimensions, and ten sub-dimensions.
The two core pillars of festival attractiveness are defined as follows:
• Attractiveness: Measured by the percentage of positive sentiments derived from social data sentiment analysis
• Reputation: Measured by social data buzz volume and global reach (language diversity).
The three dimensions and ten sub-dimensions are structured as follows:
Includes programs and performances, hedonic excitement, food and beverage, and the festivalʼs unique content that defines its core identity
Encompasses on-site atmosphere and immersion, aesthetic staging such as lighting and spatial design, cognitive inspiration offering new discoveries, and authenticity rooted in local uniqueness
Covers facilities and convenience including restrooms and cleanliness, movement flow and crowd density, accessibility via transportation and pre-visit information, and the affordability of tickets and merchandise
3. Data Collection
| Item | Description |
|---|---|
| Scope of Study | Out of 1,436 festivals cataloged across 198 countries through a cross-examination of tourism boards, official websites, travel guides, academic literature, and media reports, a final selection of 560 festivals was determined following a pilot test. |
| Analyzed Languages | A total of 14 languages selected based on the advancement of NLP technology and user base size: English, Spanish, Arabic, French, Portuguese, Russian, Indonesian, German, Japanese, Turkish, Vietnamese, Korean, Italian, and Thai. |
| Data Collection Channels | YouTube, Instagram, Facebook, X (formerly Twitter), Tumblr, blogs, online communities, review platforms, Reddit, etc. (News and broadcasts are excluded) |
| Collection Period | Annual aggregation (May of the previous year to April of the current year) |
| Data Provider | Brandwatch — A UK-based global social data intelligence solution with coverage across 229 countries, 126 languages, and over 6 million channels. |
4. Measurement Logic
The Global Festival Attractiveness Index is calculated through a structured three-step process:
Step 1. Sub-Dimension Index Calculation: Evaluated by multiplying (1) the positivity rate per festival (Attractiveness) by (2) the combined score of buzz volume ratio and global reach (Reputation).
• Measures how positively tourists evaluate a particular festival
• Calculated based on the proportion of positive sentiment expressed toward the festival in social media data
• Indicates how widely recognized and how much attention a particular festival receives
• Measured by the volume of mentions related to the festival in social media data
• Indicates the extent to which a particular festival is discussed across diverse languages and demonstrates global diffusion
• Measured through global reach in social media data
Step 2. Dimension Index Calculation: Derived by applying weights based on the corresponding yearʼs buzz volume to each sub-dimension attractiveness score.
• Calculated based on the buzz volume of the corresponding year
Step 3. Composite Attractiveness Index Calculation: Formulated by applying pre-fixed weights to each dimension index (Core Festival Content & Experience: 50%, Festival Atmosphere & Sentiment: 30%, Operational Convenience & Infrastructure: 20%).
The final scores are strategically structured to enable multi-faceted comparisons, including global comprehensive rankings, rankings by festival category, and continental rankings.