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, demand data can help you make more informed content, acquisition, distribution and programming decisions. One of the main benefits of demand data is content valuation, which is based on calculating the dollar value contribution of any title to any platform in any region. Let's use the example of "Close Enough," a stoner comedy that follows a couple dealing with life in Los Angeles with their friends in early adulthood.
Demand data can provide valuable insights to help executives decide whether to create or acquire similar stoner comedy content. "Close Enough" has 4.2 times the audience demand of the average show in Germany over the last 30 days which is good and only 8.6% of all TV shows have this level of demand. This data can be very helpful when it comes to programming a TV series financing company. The data tells us that people are interested in stoner comedy content, and executives could consider developing more of this sort of content.
The show's rise in demand during the last 30 days shows that audience demand is increasing for "Close Enough" in Germany, which is a good indication that there is a growing appetite for stoner comedies. A SVOD platform could use this data to inform their acquisition decisions. The same SVOD platform could benefit from analyzing shows that are popular with fans of "Close Enough" such as "Adventure Time: Fionna And Cake," "Bob's Burgers" and "It's Always Sunny In Philadelphia." This strategy, where a streaming platform acquires content similar to previously successful titles, is likely to please fans and increase engagement.
Demand data not only shows what content is popular, but it also shows where in the world content is most in demand. By examining the top 10 global markets where "Close Enough" is in-demand over the last 30 days, we find that the show is most popular in the United States, followed by Germany, Australia, the United Kingdom, France, Canada, Finland, Brazil and Switzerland. This information is useful for content distributors as they can focus on where the demand is the highest and create, acquire and distribute content accordingly.
A linear network or pay TV network can use demand data to optimize their release strategy and pricing for content such as "Close Enough." The demand spike that occurred in late March for "Close Enough" in Germany, for example, could be because of a new season or a promotional offer that prices the content differently. Demand data could be used to determine how to release and price a show to keep subscribers interested for the long-term.
Finally, demand data can help talent agencies to identify new opportunities for their clients. For example, by looking at the data for "Close Enough," they can see that stoner comedy is becoming more popular. This can inform the decision of whether or not they want to represent talent that would fit that niche genre.
In conclusion, demand data helps entertainment executives make more informed decisions when it comes to content creation, acquisitions, distribution and programming decisions. The case of "Close Enough" in Germany shows how executives can use demand data to better understand their audience, find new opportunities and create content that viewers want to watch.
Close Enough's travelability to Germany in the last 30 days is 57%, which means that the audience demand for Close Enough is 57% of the demand in its country of origin, United States. Click through to another market to discover how well Close Enough travels internationally.
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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 Germany, 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 HBO Max 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 Close Enough, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Animated Sitcom), using our globally standardized Demand Expressions® metric.
This page has been regenerated on April 22, 2024, 2 p.m. PST using global television demand datasets from Parrot Analytics for Close Enough in Germany. We provide our partners with meaningful SVOD analyses to help them drive better and more informed content acquisition strategies. Contact us today to find out more.