Flights: Origin-Destination provides route-specific insights such as lookahead window, trip duration, and trip type percentages. Lookahead Analysis leverages mid-funnel data, aggregated from searches in Google Flight Search (GFS), www.google.com/flights.
The Origin-Destination tab contains the following reports:
- Overview
- Trends by Search Week
- Trends by Route
The Filters
Set the Search Week scope
Use the Search Week slider to set the start and end of the period you want to analyze.
Geo Filters
Use the geography filters to constrain results by origin and destination location. The filters include both origin and destination options. Geographies are defined as follows:
- Subcontinent: A large part of a continent, e.g., North America, East Asia, etc.
- Country: Country, e.g., US, Indonesia, France, etc.
- Region: ISO 3166-2 administrative area 1. Usually a large part of a country, e.g., states in the US.
- City: City where the route starts.
Advanced Filters
- Domestic / Int’l: Whether the flight is within a country or between countries.
- Route Cluster: The route cluster shows the distance people are looking to travel:
[1] <500km (incl. X-border).
The distance between origin and destination is less than 500km and within the same country.
[2] Anywhere in the area (EMEA, Americas, or APAC).
Any intercontinental travel that is within a main advertising region.
[3] Anywhere in the country.
Any travel between regions that is still within the same country.
[4] Anywhere in the region/state.
Any city-to-city travel that is still within the same region.
[5] Anywhere in the subcontinent.
Any travel between countries but remaining within the same subcontinent.
[6] Anywhere in the world.
Any travel between subcontinents.
Dashboard Sections
The Flights: Origin-Destination dashboard contains the following reports:
Overview
Highlight averages of lookahead window, trip duration, and one-way trips with their MoM growth trends.
Average lookahead window
Overall: Average number of days between search date (when users search in GFS) and departure dates (the travel dates users wish to travel).
International: Average lookahead window (days) for international flights (the origin country is not the destination country).
Domestic: Average lookahead window (days) for international flights, (the origin country is also the destination country).
Average trip duration
Overall: Average number of days between departure date and return date (trips must not be one way).
International: Average trip duration (days) for international flights, i.e. origin country != destination country.
Domestic: Average trip duration (days) for international flights, i.e. origin country == destination country.
One-way trips
Overall: Percentage of one way trips over all trips.
International: Percentage of international one way trips over all international trips.
Domestic: Percentage of domestic one way trips over all domestic trips.
About the MoM date range:
The month-over-month growth for average lookahead window, trip duration, and one-way trip split is based on the last 28 days before the selected date range, as shown in this example:
| Start Date | End Date | |
|---|---|---|
| Selected Date Range | 1 Jan '20 | 28 Feb '20 |
| Previous Month (-28 days) | 4 Dec ’19 | 31 Jan ‘20 |
For the One-Way Trips summary, this expresses the MoM growth in percentage points (pp).
Trends by Search Week
Highlight averages of lookahead window, trip duration, and one-way trips with their MoM growth trends per search week when the users search for travel in GFS.
This dashboard section shows a timeline of how far in advance people are looking to travel (lookahead window), how long they’re intending to stay (trip duration), and the percentage of one-way trips. The left Y-axis shows the number of days for the lookahead window and trip duration; the right Y-axis shows the percentage of one-way trips.
Below the timeline, the data is broken down further in tabular form:
Search week:
When the users search in Google Flights (www.google.com/flights), data aggregated at week level, starting on Sunday every week.
Google.com demand:
Masked query volume from air-related non-brand queries in Google.com.
Lookahead window:
Avg: average number of days between search date (when users search in GFS) and departure dates (the travel dates users wish to travel).
MoM: month-over-month (28-days) growth of the average looking window. (+) means longer, (-) means shorter.
Average trip duration:
Avg: average number of days between departure date and return date (trips must not be one way).
MoM: month-over-month (28-days) growth of the average trip duration. (+) means longer, (-) means shorter.
One-way trips:
Percentage of total: percentage of one-way trips over all trips.
MoM: percentage point of month-over-month (28-days) growth of the one-way trip portion over all trips (one way, return, and multi-city).
Trends by Route
Highlight averages of lookahead window, trip duration, and one-way trips with their MoM growth trends per route, with reports broken out geographically for origin and destination subcontinent, country, region, and city pairs.
The Trends by Route dashboard section shows a series of tables with lookahead window, trip duration, and one-way trips, broken down by route pairs.