Travel Booking Data

What is Travel Booking Data?

Travel booking data refers to statistical data on the number of travel plans booked via online or offline. This includes the number of canceled, refunded bookings, and historical travel booked. Information about travel booking data includes the price of travel, time and date of travel, number of passengers, destinations, and travel type. The data is categorized from daily, weekly, monthly, quarterly, and annually. Travel booking data gives insights that can be used in marketing.
 

How is Travel Booking Data collected?

Travel booking data is collected through various sources. These sources include online bookings, agency-based bookings, surveys, apps, ticketing services. These sources record and analyze the data and then apply filtering methods to eliminate duplication and other irrelevant data. Then, the clean data is put to data repositories for data storage.

What are the typical attributes of Travel Booking Data?

Here are some common attributes of travel booking data:
Customer information: this refers to customer profiles, including their age, sex, employment status, demographic information etc.
Travel Details: this refers to the price of travel, time and date, arrival and destinations, types of vehicle used, and payment methods.
Booking type: this refers to the medium through which travels were booked. It may be through online apps, online ticket services, travel agencies etc.
Problems encountered: this refers to canceled bookings, refunded bookings, unsuccessful payments, and incorrect customer information.
 

What is Travel Booking Data used for?

Travel booking data is used by marketers and travel agencies. They used it in their different marketing strategies like direct marketing and email marketing. They also used this data to promote advance travel bookings based on gathered buying patterns. Canceled and refunded bookings data are part of the marketers to gain insights to improve customer experience. Travel booking data overall maximize marketing strategy and overall improve sales generation and return on investment.

How can a user assess the quality of Travel Booking Data?

For users to assess the quality of travel booking data, providers must incorporate:
• Timeliness of data: travel booking data must be up-to-date and updated frequently. To maintained high-quality data, it must reflect the current consumer situation.
• Relevant data: travel booking data must serve its user’s purpose.
• Reliability of data: travel booking data must be authentic and credible. This data must be free from errors and must be complete.
Before you decide, you might consider reading reviews of the data provider and ask for a travel booking data sample to ensure that it is suited to your business needs.

Who are the best Travel Booking Data providers?

Finding the right Travel Booking Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Travel Booking Data providers that you might want to buy Travel Booking Data from are Travelport, Sabre, Adara, Transparent Intelligence, and travel audience.

Where can I buy Travel Booking Data?

Data providers and vendors listed on Datarade sell Travel Booking Data products and samples. Popular Travel Booking Data products and datasets available on our platform are Travel Data by Luminati and Adstra Travel by Adstra.

How can I get Travel Booking Data?

You can get Travel Booking Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Travel Booking Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Travel Booking Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Travel Booking Data?

Travel Booking Data is similar to Restaurant Data, Vacation Rental Data, Travel Intent Data, Flight Data, and Short-Term Rental Data. These data categories are commonly used for Travel Booking Data analytics.