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 informed content, acquisition, distribution, and programming decisions. For instance, by observing the demand for the show "Ray Donovan" in the United Kingdom for the month of March 2024, it can be used as an example of how demand data can inform the decision-making process. Demand for "Ray Donovan" in the United Kingdom is seven times the audience demand of the average show and 97.7% higher than the demand for other drama titles. Demand for this show has been increasing recently.
Using demand data, you can gain insights into the travelability of a show, the potential of its spin-off, and how to monetize its intellectual property. For instance, the demand for "Ray Donovan" in the United Kingdom is 59% of the demand in the United States. Also, "Ray Donovan" has good franchisability and reach. This show might be an excellent acquisition for an SVOD platform if their main target audience is from the United Kingdom.
Demand data can also inform content valuation. For instance, when using Parrot Analytics content valuation system, demand data can reveal the dollar value contribution of any title, to any platform in any region. In concurrence with the question provided, content valuation aims to determine how much to spend on content and gauge its impact on platform-specific marginal revenue. Hence, using demand data can help in assessing the ROI a specific title will bring for any given platform.
Additionally, you can use demand data to evaluate the performance of a show and also understand its target audience. In this case, the show's popularity has increased over the last 30 days compared to its performance over the preceding year. The audience viewing patterns might have changed for the genre, or the show's content might have enhanced its quality compared to the previous seasons.
Furthermore, demand data can be used for programming decisions. For example, by examining the top ten global markets where "Ray Donovan" is most in-demand, executives can decide which market to focus on and where the audience is best served. In this case, the United States is the show's primary market, followed by China, and then other countries. An executive might decide to stop distribution of the show in countries with lower demand and focus on countries with higher demand.
In conclusion, demand data can be a valuable tool for making informed content, acquisition, distribution, and programming decisions. The example of "Ray Donovan" in the United Kingdom illustrates how analyzing a show's demand can help inform strategic decisions. Consequently, understanding the audience's demand can help television executives make data-driven decisions that maximize the investment in TV shows.
Ray Donovan's travelability to the United Kingdom in the last 30 days is 52%, which means that the audience demand for Ray Donovan is 52% of the demand in its country of origin, United States. Click through to another market to discover how well Ray Donovan travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular SHOWTIME‘s Ray Donovan 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 Kingdom, 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 SHOWTIME 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 Ray Donovan, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Crime Drama), using our globally standardized Demand Expressions® metric.
This page has been adjusted on April 19, 2024, 2:01 p.m. PST using demand data from Parrot Analytics for Ray Donovan in the United Kingdom. We provide our partners with far-reaching SVOD expertise to help them drive better and more informed content acquisition strategies. Contact us today to find out more.