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 make more informed content, acquisition, distribution, and programming decisions. Parrot Analytics’ content valuation system can help you assess how much a title is worth, based on its global content demand, and reveal the dollar value contribution of any title to any platform in any region. Using the case of “Rupaul's Drag Race UK” in February 2024 in Brazil, we can see how demand data can help you make strategic decisions.
Content Valuation:
Parrot Analytics’ content valuation system provides an economic valuation system powered by global content demand and supply. It answers questions like how much a show is worth, how much of a show’s value is being driven by demand, and what the baseline value of a show is. In the case of “Rupaul's Drag Race UK” in February 2024 in Brazil, we can use demand data to estimate the show’s worth based on its global demand.
Demand as a measure of global popularity:
By using demand data, you can measure a show’s global popularity and make decisions based on it. For example, in February 2024, “Rupaul's Drag Race UK” had 10.9 times more audience demand than the average show in Brazil, indicating outstanding demand. Also, the show’s long-term demand is impressive, which means the show’s popularity is likely to be sustained. You can use this information, together with the show’s rank, peak demand, genre rank, and its fans’ favorite shows, to make more informed acquisition and distribution decisions.
Demand as a predictor of success:
Using demand data, you can predict a show’s success and make programming decisions based on it. You can assess a show’s momentum, reach, and longevity to decide whether it’s suitable for programming or not. You can also use demand data to identify travel opportunities, to determine which markets have potential, and to inform your marketing campaigns ahead of a show’s premiere.
Demand as a benchmarking tool:
Demand data can be used to benchmark a show against market competitors. This involves comparing your show’s demand with that of other shows available on the market. This information can help you identify gaps in your content offerings, improve viewer retention and acquisition, and create new market opportunities.
Demand as a measure of franchise potential:
Using demand data, you can identify the franchise potential of a show and make decisions based on it. For example, you can assess whether a show has good spin-off potential, which will increase its monetization opportunities. In the case of “Rupaul's Drag Race UK,” its franchisability is good, which means that there are potential spin-offs or related shows that can be created.
In conclusion, demand data is a fundamental tool for entertainment executives, especially when making content, acquisition, distribution, and programming decisions. Using demand data can help executives make more informed decisions that will ultimately lead to higher audience engagement, monetization, and long-term success. In this case, demand data for “Rupaul's Drag Race UK” in February 2024 in Brazil, shows that the show has outstanding demand, high longevity, and peak demand. Combining this demand data with other show metrics can provide a more in-depth understanding of the show’s potential and worth to inform business decisions.
Rupaul's Drag Race Uk's travelability to Brazil in the last 30 days is 74%, which means that the audience demand for Rupaul's Drag Race Uk is 74% of the demand in its country of origin, United Kingdom. Click through to another market to discover how well Rupaul's Drag Race Uk travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular BBC Three‘s Rupaul's Drag Race Uk 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 Brazil, 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 BBC Three 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 Rupaul's Drag Race Uk, for example, can be assessed for a market e.g. Brazil, which can then be benchmarked against genre averages (e.g. Competition Reality), using our globally standardized Demand Expressions® metric.
This page has been regenerated on March 28, 2024, 8:44 p.m. PST using global demand datasets from Parrot Analytics for Rupaul's Drag Race Uk in Brazil. We provide our partners with far-reaching television industry analyses to help them drive better and more informed content acquisition strategies. Contact us today to find out more.