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 can use demand data to input data-driven decision making in areas such as content valuation, programming decisions, distribution decisions, and acquisition decisions. Let's consider the real-life example of "Big Brother (US)" for the month of October 2023 in Ireland and explore the insights that demand data can provide.
One application area for demand data is content valuation. The Parrot Analytics content valuation system is based on global content demand and supply, indicating the dollar value contributed of any title to any OTT platform. By knowing the demand data for a TV show, you can determine its worth, assess its ability to drive churn or subscriber acquisitions and target specific platforms for distribution. Therefore, through analyzing the global demand data for "Big Brother (US)," we can infer that this title will bring significant net revenue if acquired by an OTT platform.
Demand data also helps with programming decisions since demand data powers Parrot Analytics' content valuation system. By identifying the shows with high demand, content creators can create desirable content that will resonate with the audience, resulting in stronger engagement, retention, and more revenue. Therefore, content creators constructing reality shows or competitions like "Big Brother (US)" can examine global demand trends to emulation elements of shows that fans loved and coopt those elements into their programming. Another program decision this can aid is in flexible release dates, since peak demand for "Big Brother (US)" surged in mid-October, knowing that an earlier release date may result in increased spikes in demand can help program executives in planning a show's release.
Moreover, demand data can be used to make informed distribution decisions. By analyzing the geography-specific demand data of a TV show's performance, OTT platforms can determine how to maximize content investments and allocate funds to the best-performing markets. In the case of "Big Brother (US)," we can observe that this TV series performs exceptionally well globally and maintains this performance over time. In Ireland specifically, "Big Brother (US)" has achieved impressive demand compared to other reality shows in the market, providing clear circumstances for the optimal distribution of the show within the nation.
Lastly, demand data can provide valuable insights into acquisition decisions. A well-informed acquisition strategy considers global demand trends and the past performance of a title. "Big Brother (US)" has shown to have phenomenal performance in various countries, including the United States, Canada, the United Kingdom, Germany, China, Australia, Ireland, India, and the Netherlands, providing a strong argument for widespread distribution.
In conclusion, analyzing audience demand data can provide key insights for entertainment executives in decision making for content valuation, programming decisions, distribution decisions, and acquisition decisions. Using the example of "Big Brother (US)" in Ireland in October 2023, we can observe that global demand data reflects the show's peak demand, longevity of popularity, outstanding travelability, and exceptional momentum. Therefore, decision-makers in the entertainment industry can benefit immensely by including global demand data in their decision-making processes to optimize the success of their decisions.
Big Brother (US)'s travelability to Ireland in the last 30 days is 30%, which means that the audience demand for Big Brother (US) is 30% of the demand in its country of origin, United States. Click through to another market to discover how well Big Brother (US) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular CBS‘s Big Brother (US) 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 Ireland, 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 Big Brother (US), for example, can be assessed for a market e.g. Ireland, which can then be benchmarked against genre averages (e.g. Housemates Reality), using our globally standardized Demand Expressions® metric.
This page has been refreshed on March 28, 2024, 11:12 p.m. PST using tv demand content analytics from Parrot Analytics for Big Brother (US) in Ireland. We provide our partners with meaningful TV industry competencies to help them drive better and more informed content advertising strategies. Contact us today to find out more.