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.
The story of King Arthur and his kingdom of Camelot has been retold many times in various forms, but "Camelot" is a unique adaptation of the tale that puts a more adult twist on it by focusing on romance and passion. To make more informed content decisions, entertainment executives working at streaming services or networks could leverage demand data to discover valuable insights about a show like "Camelot."
Firstly, content valuation is one of the areas where demand data could help make better-informed decisions. By using demand data, entertainment executives could answer important questions about the show's value by calculating its potential to attract audiences, reduce churn, and increase engagement on their respective platforms. Camelot has 2.5 times the audience demand of the average show in the United States, which suggests that the show has a decent following in America. Its demand has been rising recently, and this growth could be used to estimate the show's ROI by using demand data to calculate the platform-specific marginal revenue contribution to the service.
Entertainment executives can also leverage demand data to understand the show's performance and its potential for international expansion. By examining the top ten global markets where "Camelot" is most in-demand over the last 30 days, we see that the show outperforms the demand of the average TV show (1x) in each of these markets. Thus, demand data could be used to explore where the show may perform well in terms of global distribution. However, the show's poor travelability implies that the show may not resonate with international audiences as well as it does in its home market.
Further, the popularity of a TV series' actors, characters, and plot can also be estimated using demand data, as by gauging the level of interest in an individual star, executives can determine the degree to which the popularity of a specific person drives a show's success. Similarly, if a particular character or storyline generates significantly higher demand than the rest of the series, this could suggest targeting specific demographics that are more likely to engage with this content.
Finally, to make smarter programming decisions, demand data can identify the right genres or niches to focus on. By analyzing the affinity index, which indicates other shows or genres that fans of "Camelot" also like, executives could make better decisions on which other titles might attract a similarly passionate audience.
Therefore, demand data can be used by executives to describe how a show is doing, to make more informed content investment decisions, to make more informed acquisition decisions and to determine the best-suited platforms for the distribution of TV series.
This is Camelot's home market and therefore its travelability is 100%; the travelability of a TV show's market of origin is always 100%. Click through to another market to discover how well Camelot travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular STARZ‘s Camelot 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 STARZ 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 Camelot, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Fantasy Drama), using our globally standardized Demand Expressions® metric.
This page has been amended on April 22, 2024, 2:01 p.m. PST using demand datasets from Parrot Analytics for Camelot in the United States. We provide our partners with essential television series analyses to help them drive better and more informed content acquisition strategies. Contact us today to find out more.