The Data Appeal Company uses real-world context to help destinations become data-driven

The Data Appeal Company Is Revolutionizing Tourism Destinations with Sentiment-Based Location Intelligence

How can organizations leverage diverse datasets enriched with artificial intelligence (AI) to deliver unique, high-impact solutions for the tourism, hospitality, and retail industries?

Meet The Data Appeal Company, a leading travel intelligence provider helping destination marketing organizations (DMOs), convention and visitors bureaus, tourism boards, and other stakeholders make smarter, data-driven decisions.

Serving more than 2,500 clients across Europe, the Americas, the Middle East, and Australia, The Data Appeal Company combines multiple data sources to deliver a comprehensive 360-degree view of destinations, competitors, visitors, and local businesses. Through a unique blend of datasets, the company enables organizations to analyze, measure, and benchmark performance using:

• Points of Interest (POI) and Places Data
• Business Information
• Customer Sentiment
• Flight Data
• Hotel Rates and Pricing

By bringing these datasets together, The Data Appeal Company powers advanced, real-time analytics that uncover deeper business insights and support more informed decision-making.

Its latest offering, Data Appeal – Mabrian, is a location intelligence platform that combines AI and big data to help tourism destinations analyze and benchmark destination performance, visitor behavior, preferences, and market dynamics.

Understanding past events is essential for accurately identifying visitor profiles and uncovering the motivations behind travel decisions. By integrating PredictHQ real-world context, The Data Appeal Company has helped its clients improve destination reputation and increase visitor sentiment by an average of 7% to 13%.

Big Data as a Competitive Advantage in Tourism

Big data is a key driver of success in the highly competitive tourism and hospitality industries. The Data Appeal – Mabrian platform helps tourism destinations, DMOs, and tourism boards worldwide better understand visitors, territories, and local businesses through a data-driven approach. Real-world events have always played a fundamental role in the company's intelligence ecosystem. Understanding why people visit a destination, how long they stay, and what they do while there is a critical piece of the puzzle.

Beyond revealing the drivers behind fluctuations in tourism demand, PredictHQ real-world context also supports demand-based pricing strategies for destination marketers and revenue managers. For example, when flight data indicates an upcoming increase in arrivals, users can identify the specific events responsible for driving that demand. Whether the catalyst is a major concert, an international conference, or a niche industry expo, users can anticipate increases in demand and plan accordingly. This may involve adjusting hotel rates during peak periods, creating targeted offers for restaurants and attractions, or optimizing staffing levels to match expected visitor volumes.

"PredictHQ has immensely helped us add in the event factor. With our data, we already know who the visitors are in any destination (their origin, language and type), when they’re coming, their booking window, and the things that they like to do, where they stay, eat, shop, etc., but we lacked that reason why, to explain what was motivating them. Are travelers there for just a night, the weekend or longer? Are they traveling for business or leisure? Having an understanding of conferences, concerts, sporting events and more has really given us an added insight into the visitor profile. By knowing if your visitors are there on a business trip, on an extended family vacation for public holidays, or couples' getaway for a concert, you can leverage this information to better determine visitor motivation and behaviors. When combining these answers with our datasets, the insights are invaluable for destination marketers and managers to design more effective and targeted campaigns and measure ROI." - Hannah Babineau

How PredictHQ Real-World Context Is Integrated Into Data Appeal – Mabrian

Within Data Appeal – Mabrian, impactful events are displayed on a dashboard, which destination managers and marketers use to monitor, manage, and predict demand for their territory more effectively.

Data Appeal – Mabrian also includes an events module where users can access a monthly calendar of all upcoming events for the next three months. Each event includes the category (conference, expo, concert, sporting, public holiday, etc.), street address, and Impact Score.

For each day, Data Appeal has also embedded hospitality data, which reveals the average price of hotels and the occupancy rate to help users better strategize demand-based pricing and packaging for the upcoming months.

How Real-World Context Unlocks Better Campaign Planning for DMOs

While The Data Appeal Company already had visibility into flight bookings, arrivals, and visitor behavior, including the hotels, restaurants, and retail locations travelers visit, segmented by origin, visitor type, and language, one critical piece was missing: understanding the underlying motivation behind those travel decisions. Whether driven by a concert, sporting event, conference, or public holiday, identifying the "why" adds valuable context to visitor intelligence.

For destinations and tourism stakeholders, having advance visibility into tourism-driving events is essential for planning effective marketing campaigns and preparing for changes in demand. By understanding the potential impact of an event on a destination, both DMOs and local operators can better align their strategies with expected visitor volumes and behaviors. Data Appeal – Mabrian provides insights such as:

• Predicted event attendance and overall impact
• Expected visitor length of stay
• Nearby events that may further influence demand for hotels, restaurants, attractions, and retail businesses

By integrating these data points, users can:

• Optimize staffing levels to match demand and reduce overtime costs
• Align inventory and resource planning with anticipated visitor activity
• Implement dynamic pricing strategies to maximize revenue during high-demand periods

Results:

A 7–13% Increase in Visitor Sentiment

The integration of PredictHQ real-world context has helped destinations achieve measurable improvements in visitor sentiment. One example is VisitPiemonte, the destination management organization for Italy's Piedmont region, which competes with renowned wine tourism destinations such as Bordeaux in France.

By gaining deeper visibility into the wine events taking place across the region, VisitPiemonte has been able to create targeted travel experiences, accommodation packages, and marketing campaigns tailored to visitors interested in wine tourism. They have also gained valuable insights into visitor origins, revealing whether travelers are arriving from international markets such as the UK, the US, and France, or from within Italy. These insights help shape messaging, language localization, and audience targeting strategies.

By understanding both who is visiting the destination and the role that events play in influencing travel decisions, VisitPiemonte has been able to increase visitor sentiment by an average of 7 to 13% compared with competing destinations.

The innovative approach by The Data Appeal Company combining big data, sentiment analysis, and PredictHQ real-world context is helping transform the tourism and hospitality sectors. By integrating it into Data Appeal – Mabrian, the company enables destination managers, revenue managers, and marketers to better understand visitor motivations and behaviors, and to design more effective campaigns, reaching the right audience, with the right message, at the right time.

For more information about the Data Appeal – Mabrian platform, click here.