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 looking to make informed content, acquisition, distribution, or programming decisions, demand data is a powerful tool. By analyzing demand data for a show like "American Crime Story," executives can gain insights into the performance of the show in different markets, its potential reach, and how it compares to other titles in the same genre. These insights can be used to determine the value of a particular show to a platform, inform programming decisions, and guide acquisition or distribution strategies.
Firstly, demand data can be used to inform content valuation. By analyzing the demand for "American Crime Story," executives can determine the dollar value contribution of the show to their platform or library, as well as its potential to drive engagement across the rest of the catalog. Moreover, executives can use demand data to estimate the potential ROI a specific title will bring for a platform.
Secondly, demand data can be used to inform acquisition or distribution strategies. In comparing the performance of "American Crime Story" in different markets, executives can determine the show's global potential and the markets where it is most in-demand. This can inform acquisition strategies, network fit decisions, or even the type of content to produce or acquire.
Thirdly, demand data can be used to inform programming decisions. By analyzing the show's performance relative to other titles in the genre, executives can determine which types of content exhibit an opportunity to acquire or produce and thus make more informed programming decisions.
Fourthly, demand data can be used to inform subscriber retention or acquisition strategies. Executives can use demand data to determine which titles are most popular with their current audience and thus which titles they should buy to keep their audience happy. They can also use demand data to determine which titles will attract new subscribers.
Finally, demand data can be used to inform marketing decisions. By examining the show's momentum and comparing its performance over a rolling year vs. the last 30 days, executives can determine the effectiveness of their marketing campaigns and adjust them accordingly.
By leveraging the power of demand data, entertainment executives can make more informed and data-driven decisions about content valuation, acquisition and distribution strategies, programming decisions, subscriber retention or acquisition, and marketing campaigns. For example, in the case of "American Crime Story," executives can take note of the increased demand for the show in the last 30 days and use this information to guide their marketing campaigns or programming decisions. They can also take note of the show's high demand in the United States and use this information to guide their acquisition strategies or consider its potential for expansion.
American Crime Story's travelability to the United Kingdom in the last 30 days is 69%, which means that the audience demand for American Crime Story is 69% of the demand in its country of origin, United States. Click through to another market to discover how well American Crime Story travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular FX‘s American Crime Story 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 FX 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 American Crime Story, 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 regenerated on March 29, 2024, 4:37 a.m. PST using demand data from Parrot Analytics for American Crime Story in the United Kingdom. We provide our partners with far-reaching SVOD workflows to help them drive better and more informed content investment strategies. Contact us today to find out more.