A new predictive service analyzing Google search trends of global visitors to South Korea will be launched, marking the first of its kind in the country. This intelligent platform will comprehensively track the entire journey of inbound tourists and domestic travelers, from initial interest to spending patterns during their trips, significantly enhancing data-driven tourism marketing strategies.
◆ Lowering Barriers to Big Data: A Tool for Reading Trends
The Korea Tourism Organization (KTO) has revamped its tourism-focused big data platform, the Korea Tourism Data Lab, which first launched in 2021. The platform has been recognized as a model for public data openness by integrating various data sources, including domestic and international tourism statistics, mobile communications, credit card transactions, and social media. However, the vast amount of data was previously presented in a single dashboard format, making it difficult for local governments and small tourism businesses to derive actionable insights.
The recent overhaul of the Data Lab, implemented on June 5, reflects feedback from the field. The key change is a shift from a supplier-centric model to one that allows users to track the actual behavior patterns of tourists more comprehensively.
The previous single dashboard has been segmented into six themes: inbound travel, medical tourism, Korean Wave, cruise tourism, domestic travel, and regional travel. Each dashboard is structured according to the stages of a tourist's journey: pre-trip (interest), during the trip (movement and spending), and post-trip (feedback). Local governments can now analyze visitor flows and spending changes in their areas, while the tourism industry can identify demand for specific purposes, such as Korean Wave or cruise tourism, enabling immediate marketing strategy adjustments.
◆ Analyzing Interest to Forecast Future Demand: Detailed K-Culture Categories
One of the most notable features of the overhaul is the introduction of the 'Interest Analysis Service.' While the previous Data Lab focused on analyzing past movement and spending behaviors, the revamped platform opens the door to predicting future demand.
Global inbound demand is assessed using Google Trends data from seven major markets, including Japan, Taiwan, and the United States, while domestic travel demand is analyzed based on search volume from Naver Data Lab. For instance, if search volumes for key terms like 'flights to Korea,' 'Korea visa,' or 'Korea weather' surge in a specific country, this is interpreted as a signal of increased likelihood for inbound travel, allowing the industry to proactively adjust marketing timing and targets.
The platform also provides tools to closely examine the spending habits of diverse Korean Wave tourists. Credit card spending data from inbound visitors is categorized into K-Culture-specific areas such as performances, beauty, wellness, and Korean cuisine, allowing for intuitive insights into where recent visitors are spending their money.
◆ Advancing Data Utilization: Aiming for an Intelligent Compass in the Tourism Industry
The Data Lab's upgrade aligns with KTO's ongoing efforts to innovate tourism through data. The organization has been focusing on creating a data ecosystem within the tourism industry and promoting digital transformation (DX) by holding annual data-centered tourism summits. This enhancement is part of a broader strategy to break down data access barriers and drive substantial value creation in the tourism sector.
KTO plans to further enhance the precision of its analyses by securing additional data from online travel agencies (OTAs) regarding accommodation bookings and payments within the year. Furthermore, there are plans to gradually introduce a natural language-based data assistant service that will allow users to ask questions and receive answers without complex data manipulation, integrating artificial intelligence (AI) technology.
Im Ji-sook, head of the KTO's Tourism Data Hub team, stated, "The focus is on connecting users with insights into tourist behavior and demand changes in a way that can be immediately applied in practice. We aim to develop the revamped Data Lab into an intelligent data platform widely utilized in tourism policy and industry settings."
* This article has been translated by AI.
Copyright ⓒ Aju Press All rights reserved.