Aviation Rank™

Know which events will impact airline demand so revenue teams can make decisions better, faster and at scale. Our proprietary ranking algorithms incorporate historical aviation bookings with PredictHQ event data and identify which will have the most impact on air travel.

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Save time and money by knowing which events impact your routes

Airlines have seen a $1.5 million revenue impact per analyst per year when using PredictHQ's demand intelligence.

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"Airline analysts have traditionally been swamped with data around events with little guidance on what to do with it. PredictHQ's Aviation Rank changes this, vastly empowering analysts to make simpler, quicker and smarter sense of the impact events have on demand - in turn enabling airlines to optimize inventory and boost revenue."

Benjamin Cany Head of Offer Optimization of Airlines at Amadeus

What is it?

Aviation Rank™ is a log-scaled numerical value between 0 and 100 to provide you a simple way to quantitatively compare events based on the impact they are estimated to have on air travel.

HIERARCHICAL SCHEMA

0-20 = Minor
21-40 = Moderate
41-60 = Important
61-80 = Significant
81-100 = Major

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Why use it?

If you're wanting to know what the likely impact of an event is on air travel then our Aviation Rank™ will help to give you this indication.

Example

American Society of Haematology (ASH) Annual Meeting and Kevin Hart Comedy Show are assigned the same PHQ Rank™ level due to the similar attendance numbers. However, the ASH meeting is expected to have more impact on the aviation industry due to the large portion of international medical attendees. Therefore, the ASH meeting will have a higher Aviation Rank™ than the Kevin Hart Comedy Show.

If you'd like to use Aviation Rank™ to find events that impact your business let us know.

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How can I use it?

You can filter and sort on Aviation Rank™ using our API. The higher the Aviation Rank™, the more air travel passengers are expected. By filtering on high ranking Aviation Rank™ events you can find those events that most impact your business. Constructing your request to retrieve events using our API is easy and intuitive.

Use the Events endpoint to search and filter events.

cURL
Python

Copy

curl -X GET "https://api.predicthq.com/v1/events/?aviation_rank_level=4,5&active.gte=2018-12-01&place.scope=2147714&sort=aviation_rank" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer $ACCESS_TOKEN"

import requests

response = requests.get(
    url="https://api.predicthq.com/v1/events/",
    headers={
        "Authorization": "Bearer $ACCESS_TOKEN",
        "Accept": "application/json"
    },
    params={
        "aviation_rank_level": "4,5",
        "active.gte": "2018-12-01",
        "place.scope": "2147714",
        "sort": "aviation_rank”
    }
)

print(response.json())

Scenario One

Say you want to find events with a high impact on flight demand for Sydney, that are active after the 15th January.

By combining aviation_rank with the powerful set of filters supported by the events api you can quickly find those events which will impact air travel. For this query, we simply use aviation_rank_level with place.scope and active.*. By specifying an aviation_rank_level of 4 and 5 you will immediately narrow down your results to only those events which have a significant or major impact on air travel.

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cURL
Python

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curl -X GET "https://api.predicthq.com/v1/events/?aviation_rank.gt=50&active.gte=2018-12-01&place.scope=5128581,2643743&sort=aviation_rank" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer $ACCESS_TOKEN"

import requests

response = requests.get(
  url="https://api.predicthq.com/v1/events/",
  headers={
      "Authorization": "Bearer $ACCESS_TOKEN",
      "Accept": "application/json"
  },
  params={
      "active.gte": "2018-12-01",
      "aviation_rank.gt": 50,
      "place.scope": "5128581,2643743",
      "sort": "aviation_rank"
  }
)

print(response.json())

Scenario Two

You may want to find events impacting flights across both New York and London, and retrieve those with the highest flight impact first.

By combining aviation_rank with the powerful set of filters supported by the events api you can quickly find those events which will impact air travel. For this query, we use aviation_rank, include multiple cities in place.scope and specify the field to sort with. You can use our Places endpoint to get the place ids for the cities. This query will return events with the greatest flight impact first, with all other results in a descending aviation rank order.

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cURL
Python

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curl -X GET "https://api.predicthq.com/v1/events/?aviation_rank_level=4,5&active.gte=2018-12-01&place.scope=LAX&category=conferences,expos,concerts,festivals,performing-arts,sports&sort=aviation_rank" \
  -H "Authorization: Bearer $ACCESS_TOKEN"

import requests

response = requests.get(
  url="https://api.predicthq.com/v1/events/",
  headers={
      "Authorization": "Bearer $ACCESS_TOKEN",
      "Accept": "application/json"
  },
  params={
      "active.gte": "2018-12-01",
      "aviation_rank_level": "4,5",
      "place.scope": "LAX",
      "category": "conferences,expos,concerts,festivals, performing-arts,sports",
      "sort": "aviation_rank",
  }
)

print(response.json())

Scenario Three

You may also want to find specific categories of events with a high Aviation Rank that are associated with a particular airport, such as LAX.

By combining aviation_rank with the powerful set of filters supported by the events api you can quickly find those events which will impact air travel. For this query, we use aviation_rank_level, specify the unique IATA airport code in place.scope and include the set of categories for events we are interested in by using the category parameter.

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