Demand intelligence for a dynamic world

PredictHQ is the only way for businesses to reliably predict and adapt to the impact of real-world events so they never miss an opportunity.

Powered by PredictHQ

  • Domino's
  • Wyndham
  • goPuff
  • Accenture
  • Amadeus
  • Sonder
  • Qantas
  • First Data

Millions of significant events - ranked by impact

PredictHQ has proprietary ranking algorithms that allow you to cut through the noise and focus on what will impact your business the most.

PHQ Rank™

Represents the potential impact of an event independent of its geographical location.

PHQ rank

Local Rank™

Represents the potential impact of an event on its local geographical area.

PHQ rank

Aviation Rank™

Represents the potential impact of an event on air travel.

PHQ rank

Event Categories

We cover every major category from conferences and concerts to live, unscheduled events such as extreme weather and airport delays. Our robust coverage means you're always prepared, so when your business finds itself in a perfect storm of demand, it’s not a nightmare but an opportunity.

Use the Events endpoint to search and filter events.

import requests

response = requests.get(
      "Authorization": "Bearer $ACCESS_TOKEN",
      "Accept": "application/json"

    "categories": {
        "concerts": 6823723,
        "performing-arts": 3750716,
        "community": 3491418,
        "sports": 2022935,
        "airport-delays": 1199482,
        "conferences": 979352,
        "severe-weather": 767244,
        "festivals": 523569,
        "expos": 196745,
        "disasters": 111014,
        "public-holidays": 45832,
        "observances": 30263,
        "terror": 22170,
        "school-holidays": 9482,
        "politics": 2139,
        "daylight-savings": 1838

Billions lost every year, not knowing what, how and why

Historical data only is not enough in a dynamic world. Companies are losing billions by only factoring in a handful of significant events into their planning each month, when there are thousands. For example, did you know in the United States there are 20,000 professional conferences of more than 25,000 attendees, which change cities each year. And that’s just one kind of conference, in one country.


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Trusted By

  • Accenture
  • Wyndham
  • Amadeus
  • Qantas
  • Domino's

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Legion relies on PredictHQ to help retailers
eliminate labor inefficiencies

“Don't underestimate how much effort it takes to work with event data...Being able to rely on a company whose sole purpose is to remove the ambiguity of event data has been game-changing for us."

Read case study
Thomas Joseph Head of Data Science at Legion Technologies

Hoteliers achieve an increase of 10% RevPar

“Hotels have a product with an expiration date. When you make the wrong decisions around a big event, that can cause thousands of dollars in missed revenue."

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Sven Blaurock Head of Product at HQ plus

Aviation Rank™ empowers airline analysts

“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."

More details
Benjamin Cany Head of Offer Optimization of Airlines at Amadeus

5x increase in revenue with PredictHQ

“With PredictHQ, we can now use their data and predicted impact to analyze and recommend prices for major events much more easily and accurately."

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Andrew Kitchell CEO and Founder of Wheelhouse

25% increase in customer sentiment

“PredictHQ has been a fantastic resource. They were able to help us uncover the impact of events, from sporting games, concerts and conferences to the effects of weather and political activity."

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Mirko Lalli Travel Appeal CEO and Founder

35% increase in conversions

“PredictHQ demonstrated that they could reveal insights better than we could guess with our manual alerts. They were instrumental in driving up conversion rates further than we could imagine.”

Read case study
Mark von Nagy CIO at Online Republic

Built for data-driven teams

The demand intelligence API to power reliable demand forecasting and analysis.

Setting the standard for data quality

Every event in our API has gone through a 14-stage process to filter, verify and enrich it.

Easy-to-use RESTful API

Logical, Flexible, Easy-to-use. With regularly updated Developer Documentation to help you along the way.

Tools to make life easier

Use Data Exporter and Tableau Connector to explore PredictHQ's real-world events with no coding necessary.

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