Observances are major demand drivers

Observances are holidays celebrated by particular groups of people. This includes events like Halloween, Earth Day, and Super Tuesday. These events are inherently different from public holidays, as they don't always necessitate a day off from work or school, and might be celebrated regionally. PredictHQ offers Observances data at scale so you can factor them into your forecasts.

Observances stats module

Observances impact businesses

Billions are lost by those who can’t predict demand shifts from observances.

We aggregate, clean and enrich public holiday data from many sources to ensure your business has visibility into all observances globally and a single API you can connect directly into your forecasting models.

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of the holidays celebrated around the world,
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Upcoming Events

Top observances happening in the next 90 days

There are often several observances that happen every month. In order to best prepare, you need to have insight into which ones are coming up. These are a sample of the top observances coming up in the next three months that may have an impact on your business.

Labels for Observances

Event labels for Observances

Get up and running quickly with our Observances data

Observances can include events from New Year's Eve to Chinese Language Day and everything in between. Having ways to further distill these observance-based events will help you slice and dice the data in a way that's meaningful for your business. PredictHQ takes care of that by tagging observances with labels. Once our machine learning models sort events into categories, highly specialized NLP models kick in to add labels to every event so you can build hyper-targeted models. This means individual labels are assigned to each observance so you can further refine your search. For example, your business may be heavily affected by local observances. By being able to filter down to specific labels, you can ensure you're focused on the right observances specific to your business.

Global coverage module for observances

Track global observances at scale

Global Data

You might be aware of well-known observances like Valentine's Day or Halloween. However, many countries and localities have their own regional observances that you might not have insights on. You might not know it yet, but World Vegan Day, or Read Across America Day might move the needle for your business in one way or another. If you operate in multiple countries, many of these holidays likely impact your demand more than you realize.

Perfect Storms of Demand for Observances

Perfect storms of demand

On their own, observances may not have tremendous impact but in combination with the rest of our 18 event categories, you will find what we call perfect storms of demand. These are occurrences when multiple events happen on the same day or across the same time period that drive major demand. By leveraging PredictHQ, you can identify peak days more accurately and better plan for real-world demand.

Observances impact customers differently

Data teams rely on high quality observance and event data to understand market conditions across all industries. Demand intelligence is designed to seamlessly plug into current forecasting models and improve the output.

  • Retail

    Retailers use demand intelligence to ensure stores are always equipped to maximize sales and minimize waste.

  • Aviation

    Many people travel for major events, making them crucial for Airlines to track.

  • Accommodation

    Accommodation companies who have insight into observances can optimize packages and pricing for significant increases in RevPAR and yield.

  • Transportation

    Know in advance when and where demand will kick in from observances to price effectively and place strategically.

    You can’t prepare for what you don’t see coming

    Harness the power of demand intelligence

    Knowing the impact of demand causal factors like events will transform your business. The American Society of Hematology has a $45M estimated economic impact — and that's only one event in one city.

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