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, using demand data can help inform content and acquisition decisions, as well as distribution and programming decisions. By analyzing the performance of a show like "Big Sky" in Spain for the month of March 2024, we can see how demand data can be used to make more informed decisions.
Firstly, demand data can be used to assess content valuation. Parrot Analytics' content valuation system is based on demand data and can reveal the dollar value contribution of any title to any platform in any region. By using demand data, we can estimate the value of a specific title and assess its ability to drive subscriptions and mitigate churn, as well as calculate its ROI and platform-specific marginal revenue contribution.
In terms of "Big Sky," we can see that its demand in Spain is good, with 2.1 times the audience demand of the average show in Spain over the last 30 days. Its demand has also been increasing recently, with a 103.7% increase in demand in Spain during March 2024. These insights can be used to assess the valuation of "Big Sky" and determine how much it may be worth to a platform or network in Spain.
Demand data can also inform distribution decisions. For example, by examining the top 10 global markets where "Big Sky" is most in-demand over the last 30 days, we can see that the show outperforms the demand of the average TV show in each of these markets, which may make it an attractive show to distribute internationally. Its number one market globally is the United States, where it achieved good audience demand of 3.5x. This data can be used to inform decisions about where to distribute "Big Sky" and which markets may be most receptive to the show.
Furthermore, demand data can be used to make programming decisions. For example, by analyzing which other shows fans of "Big Sky" also like, such as "The Rookie" and "FBI: International," we can identify similar types of content that may also be popular with "Big Sky" viewers. This insight can be used to inform programming decisions by scheduling these shows together or acquiring similar types of content.
Additionally, demand data can be used to inform acquisition decisions. For instance, because "Big Sky" has good demand in Spain, a TV series financing company or content distributor may consider acquiring the rights to distribute the show in Spain or the region. Demand data can help assess which content exhibits opportunities for acquisition or production and support decision making on content investments.
In conclusion, demand data is a valuable tool for entertainment executives to make more informed content, acquisition, distribution, and programming decisions. Using demand data, executives can assess content valuation, inform distribution and programming decisions, and make data-driven acquisition decisions. By analyzing a show like "Big Sky" in Spain, executives can see how demand data can be used to drive insights and decision-making to boost their platform's performance and engagement.
Big Sky's travelability to Spain in the last 30 days is 52%, which means that the audience demand for Big Sky is 52% of the demand in its country of origin, United States. Click through to another market to discover how well Big Sky travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular abc‘s Big Sky 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 Spain, 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 abc 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 Big Sky, for example, can be assessed for a market e.g. Spain, which can then be benchmarked against genre averages (e.g. Crime Drama), using our globally standardized Demand Expressions® metric.
This page has been recreated on April 22, 2024, 2:01 p.m. PST using global demand metrics from Parrot Analytics for Big Sky in Spain. We provide our partners with meaningful television series workflows to help them drive better and more informed content partnership strategies. Contact us today to find out more.