The Demand Distribution curve illustrates how a TV show’s popularity compares to the demand benchmark, which is a measure of the average demand across all titles. The curve is divided into performance buckets, ranging from “Below Average” to “Exceptional”. A show falls into one of these performance buckets depending on how many times more or less demand it has compared to the demand benchmark.
The show’s performance is market-specific, e.g. the same show can be in the “Average” range in the United States and in the “Good” range in France.
As an example, if a show has 9 times more demand than the demand benchmark, it falls in the “Outstanding” performance range; only 2.7% of all shows in the market reach this high level of demand.
As an entertainment executive, you have many tough content decisions to make that could make or break your business. The good news is that demand data can help you make more informed decisions. Let's take a look at how demand data about "Skam" in the United States can inform your content acquisition, distribution, and programming decisions.
One aspect of demand data that you can use when making content decisions is its ability to help you evaluate content valuation. You can use demand data to determine the value of a content library to your platform over time or the baseline value of a title. Using Parrot Analytics' content valuation system, you can see the dollar value contribution of "Skam" to your platform. This calculation is based on global content demand, which reveals the value of any title for any platform in any region.
Another way that demand data can inform your content decisions is by showing you what type of content is most popular in your market or on a global scale. For example, "Skam" is an incredibly popular show in Norway, with demand being five times the average for a TV show in that country. If you are considering expanding into Norway, this demand data could help guide your content acquisition and programming decisions.
Additionally, demand data allows you to optimize your release strategy and pricing. By analyzing the demand data for "Skam," you can see that demand spiked in late March 2024. This information could help you determine the best time to release new episodes of "Skam" or other similar content. By releasing content during times of high demand, you can maximize your audience reach and engagement.
Finally, demand data can help you discover under-monetized titles and find new opportunity markets for content distribution. For example, you may see that "Skam" has relatively low demand in China, but this demand is still pretty good. By analyzing this data, you might determine that there is room to grow demand for "Skam" or similar content in China. This information could help guide your content acquisition and distribution decisions.
In conclusion, demand data is an incredibly powerful tool that can help inform your content acquisition, distribution, and programming decisions. By analyzing the demand data for "Skam" or any other TV series, you can get a better understanding of how well the show is performing, what audiences are most interested in the show, and how to optimize your content strategy to improve your business profitability.
Skam's travelability to the United States in the last 30 days is 81%, which means that the audience demand for Skam is 81% of the demand in its country of origin, Norway. Click through to another market to discover how well Skam travels internationally.
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Acquire the best shows from partners such as NRK to fortify your competitive position in the United States. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Skam), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
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Our TV audience measurement dataset is truly global. Discover how popular NRK‘s Skam is in any of the following selected markets. Need data for other markets? Find out more about DEMAND360LITE.
Parrot Analytics is the leading global content demand analytics company for the multi-platform business of television. With the world’s largest TV audience demand dataset, the company currently tracks more than 1.5B daily expressions of demand in 100 languages, not only in the United States, but also in 100+ other markets around the world to reveal the television content that consumers watch (viewership) and give their attention to the most.
Parrot Analytics' television demand data highlights the global TV content monetization opportunities for NRK and thousands of TV studios, linear networks, broadcasters, pay TV providers and OTT / SVOD platforms.
Unlike TV ratings, our DemandRank TV rating system ensures that important demand signals are weighted more heavily than others: The more consumer effort required; the more importance is attached to each signal. Once all the signals are weighted and combined, the audience demand for Skam, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Teen Drama), using our globally standardized Demand Expressions® metric.
This page has been reconstructed on April 18, 2024, 2 p.m. PST using global demand datasets from Parrot Analytics for Skam in the United States. We provide our partners with extensive television series know-how to help them drive better and more informed content marketing strategies. Contact us today to find out more.