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 a TV executive, understanding audience demand data is crucial to making informed content acquisition, programming, distribution, and content valuation decisions. Let us take the example of the TV show "Full House" and how one can use demand data to inform their decision-making process.
The demand for "Full House" in Spain has been increasing recently, with 5.0 times the audience demand of the average show in Spain over the last 30 days, which is a good indication of the popularity of the show. By analyzing its performance over the year, we can see that its peak demand in the last 30 days was 7.5 times the average, indicating increased popularity. Using Parrot Analytics' content valuation system, one can use such demand data to estimate the dollar value contribution of any title in any region, thereby helping in content valuation.
Furthermore, understanding the show's demand relative to the average show in a particular genre (in this case, Family) is important to make accurate comparisons. "Full House" ranks at the 98.4th percentile in the family genre in Spain, which means it has higher demand than 98.4% of all family titles in Spain.
An executive can use this data to make programming decisions. They can program "Full House" in a family block or work to acquire similar family shows with comparable or higher demand data. They can use the data to optimize the release strategy and pricing of the show further. Additionally, they can use demand data to assess the TV show's potential to drive subscriptions and mitigate churn, and information on which other shows fans of "Full House" enjoy to serve similar content to the viewers.
It is also crucial to compare global market demand for a show before making acquisition decisions. We can see that "Full House" is most in-demand in the United States, followed by India, Israel, and the Netherlands. Since the show outperforms the average demand of any TV show in each market, this could indicate the show's viability for global expansion and travelability across borders.
In conclusion, understanding audience demand data is crucial for TV executives in making informed decisions about content acquisition, programming, distribution, and content valuation. By leveraging Parrot Analytics' content valuation system, executives can quantify the dollar-value contribution of any title in any region, which can significantly help in making accurate decisions. Furthermore, data such as which other shows are enjoyed by fans of a particular show or global market demand can be used to inform acquisition decisions and international expansion for a show.
Full House's travelability to Spain in the last 30 days is 43%, which means that the audience demand for Full House is 43% of the demand in its country of origin, United States. Click through to another market to discover how well Full House travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular abc‘s Full House 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 Full House, for example, can be assessed for a market e.g. Spain, which can then be benchmarked against genre averages (e.g. Sitcom), using our globally standardized Demand Expressions® metric.
This page has been modified on April 22, 2024, 2 p.m. PST using tv demand data from Parrot Analytics for Full House in Spain. We provide our partners with deep SVOD know-how to help them drive better and more informed content licensing strategies. Contact us today to find out more.