Latest Stories

  • retail
  • event impact
  • severe weather
  • demand analysis

Snowed in: How retailers use Beam to weather the storm

Winter is in full effect, and so is the demand for hot cocoa and blankets. Find out how retailers use event data to save money and...
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  • News

Release: PredictHQ partners with o9 Solutions to accelerate the demand intelligence revolution

San Francisco, February 2: PredictHQ, the demand intelligence company, has today announced a partnership and integration with o9 Solutions,...
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  • predicted attendance
  • Demand Forecasting
  • Accommodation
  • QSR
  • demand planning
  • Super Bowl

Bigger than the Super Bowl: Why Super Bowl weekend is only the fifth most lucrative event for local businesses this February

The Super Bowl - and its economic impact on its host city - is big for sure, but for demand forecasters and planners, there are four...
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  • Quarterly release
  • predicted events
  • New Features

PredictHQ Quarterly Release – January 2023

Level up your demand intelligence with five new updates that include predicted events added to the platform, Placekey now available...
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  • predicted events

Be the first to know about potential events with PredictHQ Predicted Events

Introducing Predicted Events, events that haven’t been scheduled or even announced yet, but are predicted to occur based on years of...
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  • demand analysis
  • Beam

Reveal your demand drivers with Beam

Reveal the events that drive demand for your business in seconds. With Beam, you simply upload your demand data, and it shows you the...
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  • sports
  • CPG
  • FMCG
  • Live TV Events

5 times drink industry leaders crushed it with sports-event marketing

When it comes to fast-moving consumer goods (FMCG) like beverages, one of the most effective ways to market your products is through...
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  • Feature Engineering
  • Quarterly release
  • New Features

We’ve enhanced our Feature Engineering notebook to include academic events

Learn how to effectively use academic event data by using our feature engineering guide with directions and examples of the dataset....
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