Concerts are major demand drivers

Whether it’s a sold-out stadium show or an open mic at a bar, musical performances always draw crowds. Our features help you make the most of concert-driven demand.

Concerts Impact Business

Better predict demand shifts from concerts.

We aggregate, clean and enrich concert data to give you insights on impactful performances before they happen.

On average there are
concerts occuring around the world each month.
On average there are over
concerts in the US every year.
On average there are more than
with over 100,000 attendees anually
Upcoming Events

Top concerts happening in the next 90 days

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

Forecast ready data

Get up and running quickly with our concerts data

We’ve created Jupyter notebooks around how to integrate events, such as concerts, into your models to help your Data Science teams get up and running quickly. Use our Data Engineering notebook to get the data and how to use it. Our Data Exploration notebook explores the data and how you can get value from it and our Feature Engineering notebook provides examples of how to build data models and features.

Event Labels

200+ labels built & tagged

Once our machine learning models sort events into categories, highly specialized NLP models for each category kick in to add labels to every event so you can build hyper-targeted models.

Predicted attendance

Better understand impact through reliable attendee count

Because concerts big and small can play in the same venue, you can't use venue capacity as a proxy for attendees. PredictHQ models identify a specific predicted attendance for each concert. Our models accurately gauge the number of people attending a performance, so you don’t need to guess how much each show is going to influence demand for food, drinks, or rides around a venue.

Entities data

Venue and artist data helps paint the full picture

PredictHQ doesn’t just identify and improve data on individual events. We aggregate information about the performers, the venues and other metadata to better quantify the event impact in context. By understanding the venue capacity, how popular the artist is, and more, you’re able to get more accurate insights into the real-world significance of each concert.

Predicted End Times

We predict end times so you don’t have to guess

Knowing when a concert is starting is helpful if you want to predict how many diners might come in before a show that’s happening around the corner from your restaurant. But if you’re running a ride share business or own a bar near a concert hall, you need to know when the show is ending too. Our API includes a predicted end time for any event that doesn’t state an official end time, enabling you to be prepared.

Concerts vs festivals

Both event types draw major crowds

We don’t just track individual concerts. Clusters of shows such as Coachella, Austin City Limits, Lollapalooza, and more are tracked in our Festivals category. Multi-day events with a variety of headliners are included within Festivals rather than Concerts.

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