Plays, exhibits, and creative events are bring people together, driving people movement and purchasing. Keeping tabs on these events – big and small – is vital to make sure you are prepared.
We aggregate, clean and enrich data from many sources so your business can be informed of all relevant performances, both big and small.
There are often hundreds, if not thousands of performing arts events that happen every month. In order to best prepare, you need to have insight into the impactful events coming up. These are a sample of the top performing arts events happening in the next three months that may have an impact on your business.
We’ve created a Jupyter notebook on how to integrate scheduled, attendance-based data such as performing arts events 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.
Our PredictHQ machine learning models sort events into the performing arts category, and then highly specialized NLP models kick in. This enables further specification of the types of performing arts events that impact you. For example, your business may be heavily affected by ice skating events occurring at a rink that's near your coffee shop. Being able to filter down to specific labels ensures you're focused on the the most relevant performances to your business.
PredictHQ models identify a specific predicted attendance for each performing arts event. Our models accurately gauge the number of people who will attend a a play or symphony, so you don’t need to guess how popular each show is, or guess at its influence on demand for food, drinks, or rides around a venue.
PredictHQ doesn’t just collect 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 a performer is, and more, you get more accurate insights into the real-world significance of each event.
Knowing when a show is starting is helpful if you want to predict how many diners might come in before a performance that’s happening around the corner from your restaurant. But what about the post-show crowd? What if you’re running a ride share business or own a bar near a theatre? 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 prepare.
Data teams rely on high quality data to understand market conditions across all industries. Performing arts is an impactful category for many businesses, albeit in different ways.
Attendees are likely to stop in for food, drinks, or other supplies before a performance.
Popular artists can cause people to fly into a city to catch a show.
Late shows could drive an uptick in hotel and accommodation bookings.
Many people use rideshares or public transit to travel to and from venues.
Performing Arts are included in our attendance-based, scheduled events. We have 18 other categories that are both unscheduled and scheduled events that you can explore to see what else might impact your demand.
Key dates in tertiary education calendars such as graduation, homecoming and exams. (US only)
Tap into the stay-at-home economy with this unique data source.
From massive tours down to gigs with only a handful of people, know which shows drive your demand.
Warnings and restrictions such as lockdown orders during pandemics both starting and finishing.
Large conferences need to be in your forecasts and are especially dynamic: many change locations each time.
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.