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The Power of Demand Data: A Look at the Success of Saturday Night Live in South Africa and How Entertainment Executives Can Utilize Demand Data for Decision Making

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Parrot Analytics Insights - October 2023

As an entertainment executive, you need to make informed decisions about content, acquisitions, programming, and distribution. That's where demand data comes in, and as an example, let's look at "Saturday Night Live" for the month of October 2023 in South Africa.

One of the key uses of demand data is content valuation, and "Saturday Night Live" has had outstanding demand in South Africa, 10.3 times the average show. You can use this information to make informed decisions about the value of this title.

You can also use demand data to make decisions about distribution, as "Saturday Night Live" has exceptional travelability, indicating that it has strong international demand as well. This information can help you identify which platforms to target for distribution and how to allocate funds to maximize future content investments.

Demand data can also help with programming decisions. For example, the show's momentum over the last 30 days has been exceptional, so it may be worth considering incorporating more content that is similar in tone or format to "Saturday Night Live". Additionally, examining the top 10 global markets where "Saturday Night Live" is most in-demand can provide valuable insights into which regions and demographics to target.

Lastly, demand data can help with acquisition decisions, as you can see which shows are similar to "Saturday Night Live" and have high demand. This information can help you identify other content that may resonate with your audience. This data can also inform decisions about franchise potential, spin-offs, and other monetization opportunities.

Overall, the demand data for "Saturday Night Live" in South Africa is outstanding, and it's evident that this show has high demand in international markets as well. As an entertainment executive, you can leverage demand data to make informed decisions about content valuation, distribution, programming, and acquisition.

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