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 entertainment executives, understanding audience demand for content is essential to make informed content, acquisition, distribution, and programming decisions. By analyzing the performance of "Jersey Shore" for the month of March 2024 in the United States, we can see how demand data can provide valuable insights.
Demand data is an essential component of content valuation, which can answer several questions that executives often have. For instance, understanding how well a particular content or a content library is performing in any region can help them determine the value of a title. For "Jersey Shore," a show that ended airing in 2012, its audience demand has not waned as it achieved 14.5 times the audience demand of the average show in the United States over the last 30 days. This implies that its content is still popular and is still generating interest.
One question that executives may have is, "what type(s) of content exhibit an opportunity to acquire or produce?" Demand data helps in addressing this question by examining what genre and sub-genre are popular among the viewers. In "Jersey Shore's" case, it ranks at the 99.2th percentile in the romance genre in March. This implies that romance-oriented programming may appeal to the viewers, and executives may look to produce or acquire content in the same genre to cater to their audience.
Demand data also enables executives to quantify the marginal revenue contribution of any title, to any platform, in any region, helping them to determine the value of content better. For Jersey Shore, the show achieved the peak rank of #327 in the United States. This show dropped in its rank by 330 spots during March in the United States. This trend shows that demand is waning, and unless steps are taken to reverse this trend, it may affect the overall value of the show.
Another question that executives might ask is, "How popular is my show relative to the market average, how much global appeal does this title have in comparison with other titles in the genre, where in the world is my show in-demand?" Analyzing "Jersey Shore" performance in the past month, we can see that the show outperforms the demand of the average TV show (1x) in each of the 10 markets where it is most in-demand globally. Such insights help executives determine the distribution strategy, considering where the show is most popular in the world.
Lastly, executives may want to know how a particular title is performing relative to other titles in the market. The demand data helps in competitive benchmarking, such as comparing the performance of "Jersey Shore" in comparison to titles available in the market. This can help executives evaluate the performance of the show better and make better acquisition or programming decisions.
In summary, demand data is an essential tool that can help executives make more informed decisions about content, acquisition, distribution, and programming. It helps in a wide range of decision-making processes by answering critical questions and providing valuable actionable insights that can improve the overall performance of the business by matching the audience interest better.
This is Jersey Shore'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 Jersey Shore travels internationally.
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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 MTV 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 Jersey Shore, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Housemates Reality), using our globally standardized Demand Expressions® metric.
This page has been changed on April 22, 2024, 2 p.m. PST using global demand datasets from Parrot Analytics for Jersey Shore in the United States. We provide our partners with extensive TV expertise to help them drive better and more informed content investment strategies. Contact us today to find out more.