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.
With the availability of audience demand data, entertainment executives can obtain valuable insights into how a show is performing, its potential value, and how it may be received by viewers globally. Taking "Top Gear America" as an example, as an entertainment executive, demand data can help you make informed decisions about content investment, acquisition, and distribution.
Firstly, content valuation using demand data can reveal how much a series like "Top Gear America" is worth, and by extension, what amount should be spent on it. Demand data allows executives to determine the dollar value contribution of any title to any platform in any region. By analyzing demand metrics like the show's global audience demand across platforms and regions, executives can estimate the ROI the show is expected to bring to the platform and determine its ability to drive subscriptions and reduce churn.
Demand data also enables executives to assess and compare the show's performance against other titles in the genre, helping them to make more informed acquisition decisions and identify under-monetized titles. Through analyzing the top 10 global markets where "Top Gear America" is in-demand, executives can determine which specific regions have more potential for growth.
Furthermore, demand data allows executives to map local whitespaces and uncover which genres are most resonating with viewers in a particular market. This information could inform programming decisions on which shows to produce or acquire to support global SVOD expansion or better serve the platform's target market.
Another area where demand data can be invaluable to entertainment executives is in helping with subscriber acquisition and retention. Demand data enables executives to analyze which titles are popular with their current audience and to identify movies or TV shows that may help to grow the platform's audience. Additionally, it can be used to monitor how effective marketing campaigns are and whether the show is part of the cultural zeitgeist.
Finally, demand data can be used for optimal release strategies, pricing, and franchisability assessments. By examining "Top Gear America"'s franchisability (spin-out potential), executives can assess whether the show is suitable for potential spin-offs that may further monetize the IP.
In conclusion, demand data is an effective tool that entertainment executives can use to make more informed content investment, acquisition, distribution, and programming decisions. Using the demand data insights gained from "Top Gear America" as an example, executives can determine the show's value, assess its performance, compare it with other titles in the genre, analyze its global appeal and potential, monitor its audience engagement, and make decisions based on these insights. Such data-driven decisions can maximize investment returns and ensure that content offerings align with the platform's demands and expectations.
Top Gear America's travelability to Germany in the last 30 days is 75%, which means that the audience demand for Top Gear America is 75% of the demand in its country of origin, United States. Click through to another market to discover how well Top Gear America travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular BBC America‘s Top Gear America 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 Germany, 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 America 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 Top Gear America, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Motoring Sports), using our globally standardized Demand Expressions® metric.
This page has been reconstructed on March 28, 2024, 4:32 p.m. PST using global television demand analytics from Parrot Analytics for Top Gear America in Germany. We provide our partners with comprehensive entertainment industry workflows to help them drive better and more informed content advertising strategies. Contact us today to find out more.