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're likely looking for ways to make more informed content, acquisition, distribution, and programming decisions to stay ahead of the competition. One effective solution for this is demand data, which can be used to gauge audience interest and preferences. An example of how this works is "Beat Bobby Flay," a show that has experienced a significant increase in demand in the United Kingdom during February 2024.
Using demand data, executives can start by answering critical questions about the value of their content. For example, they can use demand data to calculate the dollar value contribution of a TV series to any platform in any region and assess its ability to drive subscriptions and reduce churn. Furthermore, executives can determine the platform-specific marginal revenue contribution a title has and how it drives engagement across their content catalog.
Secondly, demand data can help executives optimize their content for success by examining what content resonates most with their audience. For instance, executives can use demand data to determine the most popular shows and genres, which can help them with decisions concerning supply and demand. They will also learn how effective their marketing campaigns are and whether their shows are part of the cultural zeitgeist.
Thirdly, by examining the top 10 global markets where a title is in-demand over the last 30 days, executives can understand if their content will have global appeal and how funds can be allocated to maximize future content investments. For example, in the case of "Beat Bobby Flay," its performance in the United States was 5.8 times that of the average TV show, indicating that the show has excellent audience demand in its home market.
Finally, demand data powers affinity analysis, which can be leveraged to inform decisions about finding the best talent, partnerships, and other content that will help to expand the audience and create franchise opportunities. For example, a network can use data to examine which other shows "Beat Bobby Flay" fans like, such as "Celebrity Jeopardy!" and "Expedition Unknown."
In conclusion, demand data provides an excellent opportunity for entertainment executives to help them make more informed content, acquisition, distribution, and programming decisions. By leveraging this data, executives can determine the value of their content, optimize their shows for success, understand their audience's preferences, and expand their reach globally. Ultimately, demand data is a crucial tool to ensure that the right content is being seen by the right audience on the right platform at the right time.
Beat Bobby Flay's travelability to the United Kingdom in the last 30 days is 6%, which means that the audience demand for Beat Bobby Flay is 6% of the demand in its country of origin, United States. Click through to another market to discover how well Beat Bobby Flay travels internationally.
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Acquire the best shows from partners such as Food Network to fortify your competitive position in the United Kingdom. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Beat Bobby Flay), 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 Food Network‘s Beat Bobby Flay 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 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 Food Network 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 Beat Bobby Flay, 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 changed on April 18, 2024, 2:02 p.m. PST using global tv demand datasets from Parrot Analytics for Beat Bobby Flay in the United Kingdom. We provide our partners with meaningful TV workflows to help them drive better and more informed content acquisition strategies. Contact us today to find out more.