Get a complete overview of your visitors’ profile data: origin, purpose and length of stay, booking window and itinerary. Identify travel trends and predict when and where to target your resources to maximise the ROI.
In the Flights section of our data analysis platform for tourist destinations, the data sources come from trusted and established sources known as GDS, i.e. Global Distribution Systems. These GDSs constitute a global network of computer systems used by airlines and travel agents to manage, book and sell flights, not only domestic but also international.
Connecting to GDS gives our destination managers real-time information about itineraries, bookings, flight durations and other crucial information. Thanks to this direct connection with the GDSs, we can guarantee highly accurate and up-to-date data, providing our platform with a reliable and complete experience.
Using GDS as a data source for the Flights section allows us to offer a detailed and comprehensive overview of the flight options available to their travel destination. This level of detail is essential for making informed decisions regarding route optimisation, demand forecasting, market trend analysis, and overall improvement of travel strategies.
Our platform uses advanced algorithms to aggregate and analyse data from GDSs, presenting it clearly and intuitively through our dedicated widgets. You can easily explore different flight options, identify high and low season periods, monitor booking trends and predict future demand.
Furthermore, thanks to the filtering and customisation features, they can adapt the information displayed to their needs. For example, you can set arrival airports, set specific search parameters and view only direct flights. This flexibility ensures a highly personalised and targeted experience for our users.
We are constantly striving to keep our data sources up to date, continually monitoring changes in the aviation industry and ensuring that the information provided is accurate and timely. We want to give a reliable platform to base strategic and tactical decisions to promote tourism in the destination.
GDSs (Global Distribution Systems) are technology platforms used in the travel and tourism industry to distribute and book travel services such as flights, hotels, car rentals, etc. GDSs act as intermediaries between travel service providers, such as airlines and hotel chains, and travel agents or online travel agencies.
GDSs collect and consolidate information about travel services from various sources, such as airlines, hotels and related service providers. This data is then made available to travel agents and OTAs, who can access the GDS via dedicated IT systems or web interfaces.
GDSs allow travel agents to access various travel options and make real-time bookings. Agents can compare fares, flight times, hotel availability and other relevant information through the GDS interface and book the required services on behalf of their clients. This allows travel agents to offer more choice and flexibility to their customers, as well as streamline the booking process.
Some of the major GDSs are Amadeus, Saber, Galileo and Travelport. These platforms are widely used in the travel industry and play a vital role in the global distribution of travel services. GDSs have become integral to the travel booking ecosystem, facilitating the connection between service providers and travel agents.
Thanks to our exclusive partnership with Travelport, we can provide all data relating to leading international airlines, such as Air France, British Airways, and Lufthansa, thus returning a comprehensive picture of the current trends. At the moment, these data don't include low-cost carriers.
As for the period you can analyse, we have developed a highly flexible and versatile time filter. This allows you to conduct detailed analyses of the past and the future, opening new perspectives for making targeted and informed strategic decisions.
When we say past, we mean you can look into historical data. This is an essential feature for tracing performance trends and significant events over time. Find out how visitor flow has evolved over the seasons, identify peaks of interest in specific events or activities, and better understand the dynamics of your visitors over the years.
As for the future, our time filter allows you to go up to 12 months in the future concerning the day you are consulting the platform. Imagine having a privileged window into future trends, anticipated bookings and arriving passengers. This functionality is invaluable for planning promotional campaigns, predicting the demand for travel services and optimising marketing strategies. Not only can you analyse historical data, but you can also gain a valuable edge by looking beyond the horizon and leveraging intelligent forecasts to make decisions.
Our intuitive interface will guide you in using this powerful tool. Select your desired start and end date in our time filter, and the platform will automatically display relevant data for the selected period. You can easily change the analysis period to fit your evolving needs.
In the section dedicated to flights, we have made a wide range of filters available to obtain detailed and relevant analyses. These tools will allow you to explore and understand flight data effectively and efficiently.
Time Filter: The time filter allows you to specify the period of interest for flight analysis. You can select precise dates from a specific time range or even view historical data to identify trends and seasonality in flight trends to your tourist destination.
Filter by Airport: With the airport filter, you can focus on one or more relevant airports to your travel destination. This will allow you to monitor the progress of flights arriving and departing from specific airports, helping you better understand traveller preferences and adopt targeted marketing strategies.
Filter by Destination Country: You can examine flight trends to specific countries and identify growth markets or potential development opportunities.
Filter by Origin Market: This filter allows you to focus on travellers' departure airports. You will be able to identify the main cities or regions of origin of tourists who visit your destination, helping you to understand the leading market segments and create targeted promotional campaigns.
Filter by Flight Type: The flight type filter allows flight data analysis based on the type of air service, such as direct flights with stopovers. This can be useful for understanding which types of flights are the most popular and evaluating potential partnerships with airlines or tourist services.
Finally, we have introduced the COMPARE option, allowing you to compare several filters simultaneously. You can set custom combinations of filters to get in-depth analysis and detect correlations between variables. This advanced analysis tool will help you make informed and strategic decisions to improve the tourist attractiveness of your destination.
The Flights section of our analytics platform highlights the key insights Destination Managers need to optimise the travel industry and achieve success. With our highly customisable filters and the ability to compare different data, you can get a complete view of the flight landscape and act accordingly to improve the traveller experience and stimulate tourism in your destination.
The “Selected Passengers Arrivals” widget is a tool within our destination analytics platform. It plays a crucial role in helping industry operators understand and optimise the flow of travellers arriving at a specific destination, such as cities or regions.
This widget gives you a comprehensive overview of travellers arriving at your destination, providing detailed data for a selected period. Key information includes:
Number of Passengers: the widget offers a complete view of the total number of travellers arriving at the destination, allowing you to identify high or low traffic periods.
Market of Origin: thanks to a refined data analysis, the widget shows the countries of origin of the incoming travellers. This is valuable data for understanding travel trends and adapting marketing and promotion strategies.
Cancellations: the widget provides a percentage of bookings cancelled by incoming travellers. This information is crucial to understand the reasons for cancellations and to make any improvements to the service offered.
Booking Window: one of the critical aspects of tourist destinations is understanding how far in advance travellers book their trip. The widget shows a temporal distribution of the reservations made, allowing you to adapt your marketing strategies according to the temporal trends of the travellers.
Using the widget is highly intuitive: once the period of interest has been selected, the data is displayed in a clear and attractive format, thanks to explanatory graphs and tables. Furthermore, it is possible to filter the results according to various parameters, such as the nationality of the travellers.
With the “Selected Passengers Arrivals” widget, travel operators can make informed strategic decisions to optimise hospitality and enhance the traveller experience. Leveraging the data provided by the widget, it is possible to create targeted marketing campaigns, offer promotions at strategic moments, and develop personalised services to meet the needs of travellers from different regions.
The “Booking and Cancellation Window Detail” widget is a tool designed to provide a detailed and in-depth overview of the bookings and cancellations of incoming travellers. This widget offers advanced features to help users understand travel patterns, booking trends, and source market fluctuations. How does it work: Parameter selection: users can specify the desired analysis period to get started, defining a time window for analysing reservations and cancellations. This can be useful for focusing on a specific time, such as holidays or special events, or examining seasonal trends. Reservations and Cancellations: the widget analyses real-time and historical data to extract crucial information regarding the number of reservations and cancellations registered during the selected period. This analysis makes it possible to identify variations in the flow of travellers and better understand booking dynamics. Passenger distribution: through interactive graphs and charts, the widget displays the distribution of passengers from different regions or countries. This helps tour operators identify the most relevant tourism sources and tailor marketing strategies based on that information. The trend over time: a fundamental aspect of the widget is the possibility to examine the movement over time of reservations and cancellations. Users can view data daily, weekly or monthly, allowing them to spot any seasonal trends or fluctuations. Cancellation analysis: this widget also offers a detailed analysis of cancellations, detecting any patterns or correlations between the increase in cancellations and specific events or situations. Widget utility: The “Booking and Cancellation Window Detail” widget is essential for anyone managing or promoting a tourist destination. The information obtained from this tool allows you to make informed strategic decisions, such as optimising marketing campaigns based on the regions of most significant interest or adapting the tourist offer according to peak booking periods.
The “Market Insights” widget allows you to obtain an in-depth analysis regarding the behaviour and preferences of passengers based on their country of origin. This type of information is critical to better understanding a destination's audience, tailoring marketing strategies, and improving the overall visitor experience.
How does it work: The operation of the “Market Insights” widget is based on a vast amount of data our platform collects from reliable and up-to-date sources. The system intelligently analyses the data to create a clear and intuitive view of the passengers' country of origin distribution. This distribution can be explored in several ways, providing detailed information about each country and the related traveller flows to the destination.
Among the main metrics that the widget offers are:
Booking window: This metric provides an overview of the most frequent booking windows for passengers from each country. By identifying these periods, tourism authorities and industry operators can optimise their promotional campaigns and special offers, attracting more visitors.
Arrival Times: this section of the “Market Insights” widget shows when passengers from a particular country will most likely arrive at the tourist destination. This information is invaluable in adequately planning the availability of accommodation, services and tourist attractions during peak influxes.
Distribution of passengers: this analysis makes it possible to identify passengers' main countries of origin, offering an overview of the geographical composition of visitors. This helps to focus marketing campaigns and promotional activities on specific markets, improving the relevance of the proposed offers.
Distribution of cancellations: this metric helps identify the countries most cancellations come from. Understanding the reasons for these cancellations can be crucial for your future strategies.
This widget lets you obtain a clear and detailed perspective on the trend of international tourism in the destination. The insights provided can guide the strategic decisions of tourism sector stakeholders, facilitating the creation of targeted strategies and creating a unique and unforgettable tourism experience for visitors worldwide.
The "One Way vs. Round Trip" widget allows you to obtain a detailed overview of the distribution of travel types among visitors. Thanks to this widget, you will be able to understand the travel preferences of your users better and obtain crucial information for the strategic planning of the tourism sector of your city or region.
The heart of this widget is based on collecting and analysing data relating to passenger reservations for airline flights. The device uses intelligent algorithms to identify and distinguish between "one-way" and "return" bookings.
With the intuitive use of the widget, users can easily select a particular period or a specific interval, and the generated graph will show the percentage of passengers who have opted for a one-way flight compared to those who have chosen a round trip. Furthermore, you can reach preferences among visitors from different locations, providing a more in-depth analysis of the travel type distribution.
Using this widget offers several valuable benefits for your travel business. For example, you will be able to understand whether your destination is more attractive for one-way tourists or for those who prefer to make return trips, allowing you to adapt your offer of services and promotions accordingly.
Plus, with access to real-time data and frequent updates, this tool will help you monitor trend changes in traveller behaviour over time. You might find, for example, that a specific group of visitors are gradually turning to one-way travel, allowing you to identify new market opportunities and develop strategies to appeal to different audiences.
Finally, the widget integrates perfectly with the other analysis tools of the platform, providing a complete and synergistic view of your destination's tourism data. You can combine the information obtained with other metrics, such as foot traffic, hotel reservations and more, to understand the behaviour of tourists and residents.
The "Passengers per Booking" widget aims to provide users with a detailed analysis of the breakdown of passengers based on the number of people per booking to help tour operators and destination managers better understand tourists' travel habits.
The operation of the widget is intuitive and efficient. The data is processed and displayed clearly and understandably after selecting the destination country or the market of interest. The device identifies the booking categories based on the number of passengers and presents them as graphs.
Optimised Trip Value: by breaking down passengers by booking, tour operators and authorities can identify the types of travellers who tend to travel together. This allows them to optimise the offer and improve promotions to attract larger groups or better adapt to the needs of solo travellers.
Customisation of Offering: with a detailed understanding of the average number of passengers per booking, travel offerings can be tailored to meet the needs of various customer segments better. For example, offering special packages or dedicated discounts might be interesting if there are trends in large group bookings.
Strategic Planning: this widget provides valuable information for strategically planning tourism infrastructure and services. Knowing how many passengers typically book simultaneously is helpful in properly sizing accommodations, transportation, and other essential facilities.
Promotion Targeting: with a greater understanding of traveller preferences around group size, you can create targeted marketing campaigns that better resonate with your desired audience. This can lead to greater user engagement and, consequently, an increase in bookings.
The "Cabin Class" widget is designed to provide an in-depth overview of the type of travellers who have made reservations by analysing the distribution of selected travel classes. It is a crucial display option that can provide valuable information regarding passenger preferences during the booking process. It allows you to categorise the reservations made by travellers in different travel classes, such as Economy, Business or First Class, offering a complete picture of the choices' distribution.
The information provided by the widget will allow you to understand your customers' preferences better and help you make informed decisions to optimise the travel and service offer. For example, most travellers choose Economy class, suggesting you focus your promotions and discounts on this category to attract more customers.
Furthermore, using the data provided by this widget, you can evaluate the success of any marketing campaigns aimed at specific travel classes and make strategic changes to improve your users' satisfaction and increase bookings in less frequented travel classes.
The "Main Routes" widget gives you a complete overview of the main routes connecting your destination. Whether you are a tourism professional, a local administrator or a marketing expert, this feature will help you better understand the travel dynamics of your visitors and take advantage of this valuable information.
Through the "Main Routes" widget, you can access accurate and up-to-date data on the distribution of departure airports of travellers heading to your destination. This will allow you to identify the most critical source markets and understand which cities are the primary sources of incoming tourists. You will be able to analyse and visualise seasonal or annual trends, allowing you to adapt your marketing strategy based on variations in the tourist flow.
In addition, the widget will provide you with a list of "top departure cities", i.e. those locations from which the most significant number of travellers to your destination depart. This information is beneficial for developing targeted and personalised local marketing campaigns for each city to attract an even broader and more differentiated audience.
The widget's simple interface makes data analysis intuitive and straightforward. You can view the results in graphs, tables or interactive maps, making reading and interpreting the data a pleasant experience. Furthermore, you can filter the data by specific periods or other variables, providing a personalised and detailed view of the main routes.
The "Length of Stay" widget helps you better understand traveller behaviour and identify potential growth opportunities.
Using this widget, you can obtain valuable data regarding travellers' average length of stay from different source markets. This information is essential for marketing strategies and for optimising tourism resources. You can identify which countries contribute the most to your destination's overall length of stay, allowing you to adopt targeted tactics to best attract and satisfy tourists in those markets. In addition, with the "Length of Stay" widget, you can classify travellers into different types, allowing you to understand other travel behaviours better. This could be useful for adapting the tourist offer according to the preferences of the various customer segments, creating tailor-made experiences best to meet the needs of each group of travellers.