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.
For entertainment executives making content decisions, demand data can provide valuable insights that can help strengthen their decision-making process. Understanding the demand for a show or genre within specific countries or regions is crucial when making investment or acquisition decisions. For instance, using the example of "All Rise," the show's audience demand for the past 30 days and 90 days in Italy ranked higher than the average show in the country. It is important to note, however, that demand for the show has been decreasing lately, which is a substantial piece of information. Hence, analyzing demand data on a regular basis provides insights concerning the evolution of the show's popularity, providing space to optimize marketing campaigns and outreach to viewers latent to discover the content.
With demand data, executives can also determine the show's longevity and momentum as well as its travelability. Demand data enables executives to quantify a series' marginal revenue contribution to a particular platform and how it drives user engagement across their content catalog. Supply and demand insights from demand data also help executives determine what types of content to acquire or produce. In the case of "All Rise," the show's peak demand within the last 30 days outperformed its demand in the last year, indicating increased popularity.
Using demand data provides executives with quantitative insights that inform content valuation with valuable information on the show's worth. Knowing the dollar value contribution of a show to a particular platform, how it drives user engagement, and its power in acquiring or retaining subscribers is crucial when making content negotiations and deals. Additionally, executives can use Parrot Analytics' content valuation system to clarify a show's baseline value, determine the value of a content library to a platform over time and evaluate the cannibalization of audiences when a show is available on several services.
Moreover, in-depth demand analytics also help executives execute pre-release marketing activities, optimize the release strategy, and determine pricing. Additionally, it assists in informing production decisions concerning a show's optimal target platforms and competitive benchmarking analyses. With exhaustive data insights, executives can select the platforms and markets at the time when a piece of content has a palpable audience, improving its outreach and revenue potential.
In conclusion, demand data is a critical asset for every decision-making process, whether for entertainment executives in OTT, SVOD, TV networks, agencies, content distribution, or production. Dynamic demand insights such as what we see for "All Rise" in Italy can inform strategic decisions concerning content acquisitions, marketing and distribution activities, content valuation, production decisions, and overall content strategy. Hence, maximizing revenue potential is possible when decision-makers capitalize on and interpret the power of demand analytics thoroughly.
All Rise's travelability to Italy in the last 30 days is 20%, which means that the audience demand for All Rise is 20% of the demand in its country of origin, United States. Click through to another market to discover how well All Rise travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular CBS‘s All Rise 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 Italy, 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 All Rise, for example, can be assessed for a market e.g. Italy, which can then be benchmarked against genre averages (e.g. Crime Drama), using our globally standardized Demand Expressions® metric.
This page has been modified on April 22, 2024, 2:01 p.m. PST using global tv demand data from Parrot Analytics for All Rise in Italy. We provide our partners with smart content competencies to help them drive better and more informed content sales strategies. Contact us today to find out more.