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, making informed content acquisition decisions, distribution decisions, programming decisions, and content valuation is vital in ensuring the success of our business operations. In this regard, demand data, which is the measure of audience preferences and reactions towards a particular show, can help in determining what content to invest in and how to allocate funds to maximize future investments.
One such example of how demand data can be utilized is by examining the performance of British baking competition show, "The Great British Bake Off," in the United Kingdom market in February 2024. Over this period, demand for the show was outstanding, with 16.2 times the audience demand of the average show in the United Kingdom. To determine how much this show is worth, demand data enables content valuation by revealing the dollar value contribution of the title to any platform in any region.
Demand data is also useful for the evaluation of a title's performance in specific markets. By analyzing the performance of "The Great British Bake Off" in the United Kingdom, where it is most in-demand, executives can effectively evaluate the true worth of the title to the platform. Here, for instance, the show's outstanding audience demand suggests that it is a lucrative property valuable enough to be acquired or invested in. Also, comparing the demand data of the show on a 1-year rolling basis versus the last 30 days can provide valuable insights into its popularity, indicating a considerable increase in the show's demand during the last 30 days.
This data can be used for content acquisition decisions, and it allows entertainment executives to evaluate and to select content that exhibits potential opportunities while simultaneously complementing or differentiating with their existing content library. Moreover, A show's position in the global market is just as crucial, and demand data can help entertainment executives to understand the global appeal of a show to determine which markets require more focus. In the case of "The Great British Bake Off," its travelability, which measures a show's international demand compared to its home market, is good, while its longevity is outstanding. These measures can be used to assess the potential success of the show in other markets, thus inform decisions concerning distribution.
Finally, demand data can be useful for content programming decisions, especially in shaping show concepts that already have a following. In the case of "The Great British Bake Off," the program's audience demand offers some insight into the preferences of its viewers and suggests that fans of "Taskmaster," "Bob's Burgers," "South Park," and "Ted Lasso" may also enjoy the show. By understanding these emerging trends, executives can focus on programming strategies that are conducive to growth and stay informed about the potential opportunities in the market in measurable ways.
In conclusion, demand data is a valuable tool for content acquisition, programming, valuation, and distribution decisions. By leveraging this information, entertainment executives can maximize the value of their platform and properties, ensuring that programming decisions resonate with audiences globally, while allocating funds to maximize investments.
This is The Great British Bake Off'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 The Great British Bake Off 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 Kingdom, 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 Channel 4 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 The Great British Bake Off, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Cooking Reality), using our globally standardized Demand Expressions® metric.
This page has been recreated on March 29, 2024, 3:31 a.m. PST using global demand content analytics from Parrot Analytics for The Great British Bake Off in the United Kingdom. We provide our partners with extensive TV analyses to help them drive better and more informed content advertising strategies. Contact us today to find out more.