Event Impact Data

PredictHQ has multiple types of event data that impact demand that you can integrate directly into models or view via dashboards in Control Center.

Companies of all sizes choose PredictHQ's events data

Demand Forecasting: Incorporating events into models for smarter forecasting.

Customer Stories
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.

Customer stories
PredictHQ has supplemented incomplete data sets, including unticketed events and cancelled events, to power pricing strategies and operational decisions.

Customer Stories
Demand forecasting: Incorporating events into their Antuit-built models to better understand demand across 9600 stores.

Customer Stories
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.

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Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.

Customer stories
Event visibility: Available in Zartico’s platform enabling deeper insight and smarter decisions.

Customer Stories
Pricing: A key source of intelligence for the OTA Insights platform, enabling smarter pricing.

Customer Stories
Labor optimization: Enriching the Legion Technologies platform, used by retailers to reduce labor inefficiencies.

Customer Stories

Events impact demand. They can drive demand up or down, and this impact can be concentrated or widespread. Understand and assess the combined impact of all relevant events for accurate forecasts.

Predicted Attendance

PHQ Attendance

Venue capacity does not equal attendance. Most event data sources estimate attendance based on venue capacity, which is often inaccurate and leads to over forecasting. With PredictHQ’s extensive knowledge graph, we predict attendance based on many inputs including venue capacity and performer popularity, resulting in a reliable number that you can use in your models. We provide PHQ Attendance for both historical events and future events. This feature can be used along with Rankings to understand an event’s potential impact on your business.

GET /v1/events/?id=e5c55724e854289204 HTTP/1.1

Accept: application/json

Authorization: Bearer $ACCESS_TOKEN

Predicted TV viewership

PHQ Viewership

PredictHQ’s Live TV Events accurately predicts the viewership for major televised sports games across seven leagues so companies can forecast how these games will drive purchases such as food, beverage, delivered food, and retail decisions. Our model uses more than 20 distinct features to pinpoint the expected viewership of a game. Previously, knowing the impact of a particular game or even a cluster of games on your demand was challenging. The existing options for TV viewership are only available after the game and organized in designated marketing areas, making them not usable in demand forecasting models. Our data science team architected this from scratch, to provide accurately predicted viewership with county-by-county granularity to be used in demand forecasting, inventory management, and staffing decisions.

Learn more about Live TV Events

GET /v1/broadcasts/?location.place_id=5368381,5391832&start.gte=2020-11-01&start.lte=2020-11-30&start.tz=America/Los_Angeles HTTP/1.1          

Host: api.predicthq.com

Authorization: Bearer $ACCESS_TOKEN

Flight Data

Track the impact on flights

Aviation Rank™ is a numeric value that indicates how much an event will impact flight bookings. Its core technology is a set of advanced machine learning models we have carefully built, trained, and refined to be able to pinpoint predicted impact. Using our event data alongside airline network data from MIDT we are able to decompose the time series of historical airline network data and detect the unusual spikes, then build the features of events we needed to begin to develop our prediction models. This enables airlines to tailor their demand forecasting.

Learn more about AVIATION RANK

GET /v1/events/?sort=aviation_rank&aviation_rank.gte=80&aviation_rank.lte=90 HTTP/1.1

Accept: application/json

Authorization: Bearer $ACCESS_TOKEN

See how your event data compares for free

Tracking events is complex, it's why we exist. Our core business is to collect, verify and enrich data and we don't expect our customers to have it all figured out.

We know that many customers have their own internal event database or collect data from a variety of sources. Send us your current event data set and we'll tell you what what you may be missing across different event categories, number of events and quality of data.

Simple. Accurate. Free.

Compare Data

Customer Stories

Demand intelligence gets results

PredictHQ's customers include leading companies across a range of industries, including accommodation, transport, and retail. They're using our intelligent event data for labor optimization, demand forecasting, dynamic pricing, supply chain optimization and more.

Explore use cases More customer stories

Thomas Joseph

Head of Data Science ,

Legion

Thomas Joseph

Head of Data Science ,

Legion

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 Legion’s Story

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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data points enriching
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events across
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cities, accessed via
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