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.
If you are an entertainment executive, demand data can help you make more informed content, acquisition, distribution, and programming decisions. One example of how to use demand data to inform content decisions is by analyzing "Jeff Ross Presents Roast Battle" for the month of February 2024 in the United States.
By analyzing the demand data, entertainment executives can learn how the show compares to others in the same market, genre and audience demand. For example, using Parrot Analytics content valuation system can help answer questions such as, "what is the series worth," "how popular is it," and "what is the value of the content library to a platform over time?" In the case of "Jeff Ross Presents Roast Battle,' the show has had a decreasing demand trend, but still receives demand 3.6 times the average, with a 92.9th percentile ranking in the reality genre during February in the United States. The show is also highly compatible with other popular titles, including "Candidly Nicole", "Crank Yankers", and others.
The popularity of a title can also inform acquisition decisions. For "Jeff Ross Presents Roast Battle", demand data shows that its peak demand was 4.8 times the average over the course of the entire year, increased by 4.1% in the last 30 days. Comparing the results from the past year and the last 30 days can help executives understand whether the show's popularity is still increasing or if it has peaked already.
Demand data can also aid distribution decisions, for instance, an executive can use this data to assess which platforms to target for a particular show's distribution. By analyzing data from different markets, such as the Netherlands, Canada, France, or Singapore, executives can determine how well the series will perform in these markets and predict which market or region should be focused on in specific marketing campaigns.
Finally, programming decisions, such as "What is the best release strategy for my content?" can be answered by examining demand data-powered factors like "travelability" (international demand relative to its home market) and "momentum" (the pace of growth in audience demand). For example, using Parrot Analytics data, we can clearly see that while "Jeff Ross Presents Roast Battle" has satisfactory demand across the worldwide audience, its travelability is poor, which means the show may not have great potential to gain popularity in international markets.
In conclusion, demand data is a powerful tool that can help entertainment executives make more informed decisions regarding content valuation, acquisition, distribution, and programming. By analyzing the "Jeff Ross Presents Roast Battle" demand data for the month of February 2024 in the United States, we can see how entertainment executives can leverage the data to optimize their decision-making and make the most of their content.
This is Jeff Ross Presents Roast Battle's home market and therefore its travelability is 100%; the travelability of a TV show's market of origin is always 100%. Click through to another market to discover how well Jeff Ross Presents Roast Battle travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Comedy Central‘s Jeff Ross Presents Roast Battle 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 the United States, 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 Comedy Central 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 Jeff Ross Presents Roast Battle, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Stand-up Comedy), using our globally standardized Demand Expressions® metric.
This page has been updated on March 28, 2024, 11:14 p.m. PST using global demand metrics from Parrot Analytics for Jeff Ross Presents Roast Battle in the United States. We provide our partners with deep SVOD competencies to help them drive better and more informed content acquisition strategies. Contact us today to find out more.