Introducing the Advance Booking Report

Cirium and Diio are excited to release its newest dataset and report: Advance Bookings (or ABKs). The ABK dataset and report can be used to analyze future booking data for commercial air travel. 

This new dataset and analysis tool can support:

• Analysis of passenger booking numbers for a specific route, past v. present v. future
• Analysis passenger booking numbers in different segment classes
• Competitive benchmarking by airline or airport 

Detailing the data

Some of the key attributes of these underlying data include:

• Advance booking data comes is sourced from the following GDS: Travelport, Amadeus and Sabre. It provides global booking coverage, with the following exceptions:
  • While this dataset is built from three of the biggest MIDT datasets, that does not mean universal market coverage. 
  • Direct bookings are not included, meaning Southwest or any other airlines that only sell direct are not represented in these data.
  • Cirium does not attempt to fill gaps in the underlying raw data. 
• 330 days of advance booking information (ie. the standard timeline from initial schedule publishing until travel date). For example, on the 1st of January you may be able to see bookings for flights scheduled for a 26th November departure.
• The advance booking data can be analyzed into history, with booking snapshot dates extending back to January 2019. For example, you could analyze how travel for Thanksgiving of 2019 began to book out in January of 2019.
• Booking information is available 4 times a month, with new information released Friday of each week (except on US public holidays, when data is released on the next business day). The term Booking Snapshot Date is used to describe this date. Each Booking Snapshot Date summarizes all of the bookings (and/or cancellations) from the previous 7 days. 
• Travel date is available at a daily granularity. For example, you could analyze the booking curve for each day of the Christmas period. 

UI features and functionality

This report allows users to run analysis by:

• Origin(s)
• Destination(s)
• Market(s)
• Marketing airline(s)
• Operating airline(s)
• Equipment type(s)
• Booking snapshot date(s), up to a range of 330 calendar days
• Travel date(s), up to a range of 7 calendar days

Users can choose to return results:

1. Cumulatively; the overall booking curve for an individual or set of flights/markets. 
2. This data format will support analyses including:
   1. How close is a flight to full capacity
   2. How many weeks before travel date does a particular flight/market typically plateau