Learn about using competitive and predictive analytics to schedule performances for the greatest audience reach and potential revenue.
- [Narrator] Ask any dancer, musician, or actor you know…live art is special.…The performing arts just aren't special as art forms,…they're also special as marketing challenges.…Part of this is because of the very nature…of the performing arts.…They're situated in time and place.…You have to be there, and you have to be there on time.…They can be reproduced or sold.…And obviously, recording to music and video recordings…can be marketed,…but that is a different thing from the live performing arts.…
Also,…many of the performing arts have niche audiences.…Not everybody is into chamber opera,…modern dance, or one woman plays.…You have to look a little harder for your audience here.…Now, previously, we've talked about market analysis.…This is a matter of knowing who is in your audience,…and knowing how to reach them.…In market analysis of this kind,…or audience analysis, the focus is on the person.…But with performing arts programming,…the emphasis is a little different.…
You're looking at what events to offer…and you're trying to create something…
This course is a nontechnical overview that helps creative organizations use the principles of data science in practical ways. It's required viewing for those working in media, but is also appealing to anyone interested in how technology affects the world around us. Learn how to use data science to assess your target audience, optimize pricing and scheduling for events and digital products, identify piracy, protect your intellectual property, reward employees, and maximize your ROI. Incorporating some simple analytics can lead to broader audiences and richer experiences for your next creative endeavor.
- Assessing the audience for performing art and live digital media
- Optimizing prices for products and performances
- Splitting limited time, money, and staffing among different outreach and sales efforts
- Honoring the requirements of government grants and private donors
- Maximizing the social nature of live events like concerts and performances
- Using competitive and predictive analytics to schedule performances for greatest audience reach and potential revenue
- Understanding how data science can identify piracy and reduce lost revenue
- Incentivizing and rewarding staff and performers without incurring additional costs