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 a TV executive in the era of digital streaming, the demand for your TV shows is more important than ever. Understanding audience demand data correctly can help you make more informed decisions on content, acquisition, distribution, programming and content valuation.
This is where demand data comes in handy. Using demand data from resources like Parrot Analytics, you can calculate the exact dollar value contribution of any title, to any platform, in any region. It can reveal how popular a TV series is in comparison to its competitors and the audience demand across different countries.
For example, let's evaluate the case of "The Big Bang Theory" on Canadian television. In March 2024, we saw a decrease of 8.4% in audience demand, and the show had an 18 times greater demand than the average title in Canada. This data can demonstrate the show's value in acquisition deals and the need to ensure good retention of current subscribers for OTT and SVOD platforms in Canada.
Understanding how "The Big Bang Theory" is performing in comparison to other shows can also be beneficial. For instance, the show is ranked at the 30th place in Canada, and the 100th percentile for romance TV shows. The details of the show's audience demand pattern in each genre have the potential to assist with programming decisions.
Additionally, examining metrics such as momentum and travelability can be valuable. For example, audience demand for "The Big Bang Theory" spiked in late March 2024, demonstrating positive momentum. Also, the travelability metric shows "The Big Bang Theory" has exceptional international demand, attracting interest beyond borders. This statistic has relevance as shows with good travelability can increase monetization opportunities for TV shows and production companies.
Another important factor to consider for shows like "The Big Bang Theory" is its franchise potential. With exceptional franchisability ranking, this show has an opportunity for its IP to be further monetized through spinoffs and franchises in order to increase revenue for TV production companies.
Demand data can also be useful for understanding the show's popularity in various markets. "The Big Bang Theory" is exceptionally demanded in the USA, followed by Brazil, where demand is also outstanding. In Germany, China, United Kingdom, Russia, France, and Israel, demand is also remarkable. Using demand data on a global scale can help you prioritize content acquisition and distribution efforts.
In conclusion, using audience demand data can provide multiple benefits for content executives. It can help you make informed decisions, including acquisition, content development, programming, and distribution strategies, that can drive revenue discussions by demonstrating the dollar-value contribution of a title. Moreover, demand data can prove helpful in producing shows with an excellent franchisability potential, and the best travel possibilities with positive momentum, longevity, and optimal reach suitable for various markets.
The Big Bang Theory's travelability to Canada in the last 30 days is 51%, which means that the audience demand for The Big Bang Theory is 51% 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.
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 Canada, 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. Canada, which can then be benchmarked against genre averages (e.g. Sitcom), using our globally standardized Demand Expressions® metric.
This page has been renewed on April 22, 2024, 2 p.m. PST using tv demand datasets from Parrot Analytics for The Big Bang Theory in Canada. We provide our partners with comprehensive TV industry insight to help them drive better and more informed content distribution strategies. Contact us today to find out more.