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.
Entertainment executives need to make informed content decisions to ensure they meet their business objectives, such as increasing revenue and keeping people engaged with their content. Demand data can help executives make more informed decisions, whether it concerns acquisition, content distribution, programming, or content valuation. Using the show "The Big Bang Theory" for the month of March 2024 in the United Kingdom, we can see how demand data could inform their decision-making process.
One of the key things that executives need to know is a show's content valuation—that is, how much a given title is worth. Demand data can play a significant role in determining content valuation. For instance, by analyzing Parrot Analytics' content valuation system, we can see that demand data can answer questions such as "how much is the show worth?" and "what is the baseline value of the title?" By using demand data, we can calculate the relative dollar value contribution of "The Big Bang Theory" in the UK market segment, and that it is worth 16.9 times the average show in the United Kingdom.
Demand also enables executives to map local whitespaces, so they can see which genres resonate the most with the current audience and what genres should be focused on to attract new subscribers to their SVOD service. For example, we can see that "The Big Bang Theory" ranks at the 99.8th percentile in the romance genre in March, indicating that it has higher demand than 99.8% of all romance titles in the UK. Moreover, Parrot Analytics can tell executives which other shows "The Big Bang Theory" fans are interested in, including "Friends" and "Game of Thrones."
With regards to programming, demand data can help executives optimize their marketing campaigns before a big premiere. It can tell them what the best release strategy for their content is, fine-tune pricing, and find out how to uncover under-monetized titles. By taking cues from "The Big Bang Theory," we can see that die-hard fans exist, and if executives play their cards right, they could make even more money from spin-offs or franchises.
Demand also signals how effective a marketing campaign around a show is and how post/pre-premiere are stacking up against other TV shows. By examining "The Big Bang Theory," we can see that its demand on a rolling year basis was 16.2 times the average title, compared to 16.9 times the title average for the last 30 days, which indicates that the show has increased popularity in recent times.
In summary, whether it concerns content valuation or programming, executives can use demand data to help them make more informed content decisions. By examining "The Big Bang Theory"'s audience demand, executives can quantify the show's global performance, which could enable them to fine-tune their content strategy for maximum engagement.
The Big Bang Theory's travelability to the United Kingdom in the last 30 days is 48%, which means that the audience demand for The Big Bang Theory is 48% of the demand in its country of origin, United States. Click through to another market to discover how well The Big Bang Theory travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular CBS‘s The Big Bang Theory is in any of the following selected markets. Need data for other markets? Find out more about DEMAND360LITE.
Over the last 7 days, people who watch The Big Bang Theory also watch:
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 CBS 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 Big Bang Theory, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Sitcom), using our globally standardized Demand Expressions® metric.
This page has been revised on April 22, 2024, 2 p.m. PST using tv demand metrics from Parrot Analytics for The Big Bang Theory in the United Kingdom. We provide our partners with essential TV series workflows to help them drive better and more informed content distribution strategies. Contact us today to find out more.
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