Understand the demand Expos drive

Art, business, technology to food - there’s too many expos to list that could impact your business, but we have a solution for you.

Expos Impact Businesses

Ensure you are prepared to predict demand shifts from expos.

We aggregate, clean, and enrich data from many sources so your business can be informed with a wide range of expos, from small ones such as Surf Expo (28,000+) that may impact traffic to larger ones like The Big E (1.5m+) that will drive major crowds.

Pre-pandemic, there were more than
expos in the USA on average per month.
On average there are more than
expos with over 5,000 attendees in the US each month.
On average there are
expos occuring around the world each month.
Upcoming Events

Top expos happening in the next 90 days

There are often hundreds, if not thousands of expos that happen every month. In order to best prepare, you need to have insight into the most impactful ones coming up. These are a sample of the top expos happening in the next three months that may have an impact on your business.

Forecast ready data

Get up and running quickly with our expo data

We’ve created a Jupyter notebook around how to integrate scheduled, attendance-based data such as expos into your models to help your Data Science teams get up and running quickly. It includes guides to using our API and data with common Data Science tools and libraries in Python.

Event labels

200+ labels built & tagged

Expos vary in size, location, frequency, duration and impact. Once our machine learning models sort events into the expo category, highly specialized natural language processing (NLP) models kick in to add labels to every expo so you can build targeted models. PredictHQ has hundreds of different types of labels to ensure you are incorporating the most relevant expos to your business.

Predicted Attendance

Predicted Attendance

Better understand impact through reliable attendee count

PredictHQ models identify a specific predicted attendance for each expo. While bigger doesn’t necessarily mean higher impact (proximity and relevant matter too), this enables your models to identify potential impact by attendee count so your teams can prepare.

Distance to venue

Distance to venue

Venue location and capacity is key to track

The closer your stores or sites are to a venue, the higher the potential impact. If you are in the transportation industry, the drivers who are closer to an expo venue when the session ends are will pick passengers up fastest. Or maybe you are a retailer that has a store 2 blocks from a venue and another store 5 blocks away. The store closer to the venue will likely need more staff support and stock on expo days.

Aggregate Event impact

Identify trends easily

Not all expos are created equal and they do not occur in a vacuum. Expos and other types of ticketed, attended events draw in large amounts of people. If your business is located near a venues that host expos and events, you need to look at the total number of people expected to be in a given area for events on a given day. PredictHQ aggregates the impact of attended events by location so you can quickly identify high impact days and make your demand forecasting smarter.

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.

  • 0
    data points enriching
  • 0
    events across
  • 0
    cities, accessed via
    1 API