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, you need to understand how demand data can help you make informed content decisions and acquisition decisions. The rave around Happy Tree Friends in France and its performance in other global markets provide an excellent case study on how demand data can be applied to optimize content valuation, distribution, and programming decisions.
One of the primary questions that demand data can help answer is, how much is my show worth? Valuing content using demand data reveals the dollar value contribution of any title to any platform in any region. Parrot Analytics' content valuation system estimates how much to spend on content and creates an economic valuation system powered by global content demand and supply. That said, "Happy Tree Friends" has 2.1 times the audience demand of the average show in France over the last 30 days. This demand data indicates that the show is valued by audiences in France, and content creators can leverage the demand data to acquire, distribute, or program the show in other markets.
The demand data from "Happy Tree Friends" also reveals global consumer preference and helps optimize global SVOD expansion. For example, "Happy Tree Friends" has higher demand than 93.2% of all comedy titles in France. This demand quantifies the platform-specific marginal revenue contribution and how the title drives engagement across the rest of the catalog. Additionally, demand data enables mapping local white spaces and optimal release strategies and pricing decisions. If you are looking for a title that has excellent global appeal, "Happy Tree Friends" can be an excellent option.
Another critical consideration for TV executives is to find content that exhibits opportunities to acquire or produce. The demand data for "Happy Tree Friends" shows that its momentum (the pace of growth) is outstanding, offering an excellent opportunity to invest. Additionally, the demand for the show has increased in France by 18.7% in March, making it a content piece worth acquiring and distributing.
Moreover, comparing the performance of "Happy Tree Friends" on a 1-year rolling basis vs the last 30 days reveals some interesting insights. Demand for the last 30 days indicates that the audience interest in the show is increasing, which might indicate that this show's Fortunes are looking up.
Finally, demand data also helps with subscriber retention and acquisition. Executives can leverage the demand data for "Happy Tree Friends" to determine which titles to buy to keep their current audience happy or to grow their audience. Also, keeping track of the demand data enables executives to adjust programming decisions and enhance the value that "Happy Tree Friends" brings to their OTT or SVOD platform.
In conclusion, demand data is a valuable tool that helps TV executives in making strategic content, acquisition, distribution, and programming decisions. Looking at the example of "Happy Tree Friends," its demand data in March 2024 shows that it is a content piece worth considering. Its value can be analyzed through the platform-specific marginal revenue contribution. Demand data provides a great opportunity to expand the reach of Happy Tree Friends to new audiences.
Happy Tree Friends's travelability to France in the last 30 days is 15%, which means that the audience demand for Happy Tree Friends is 15% of the demand in its country of origin, United States. Click through to another market to discover how well Happy Tree Friends travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular G4‘s Happy Tree Friends 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 France, 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 G4 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 Happy Tree Friends, for example, can be assessed for a market e.g. France, which can then be benchmarked against genre averages (e.g. Adult Comedy), using our globally standardized Demand Expressions® metric.
This page has been revised on April 22, 2024, 2:04 p.m. PST using global tv demand analytics from Parrot Analytics for Happy Tree Friends in France. We provide our partners with extensive SVOD competencies to help them drive better and more informed content sales strategies. Contact us today to find out more.