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.
In the crowded world of entertainment content, it can be challenging to make informed decisions about what content will resonate with a specific audience. But with the help of demand data, executives can understand audience demand and respond in kind. Using the recently-aired American comedy TV series "Velma" as an example, we'll delve into how entertainment executives can use demand data to make important decisions concerning content acquisition, distribution, and programming.
Using demand data, it's possible to assess the demand for a show in the German market. In this example, Velma has a demand that is 3.2 times the average show over the last 30 days, which is a good result. Content valuation can be applied to this show, given the number of times the demand for "Velma" has increased significantly in Germany. Another use of demand data is to determine how much platforms should be spending on content. Parrot Analytics uses its content valuation system to reveal the dollar value contribution of any title, and Velma's rising popularity in Germany could be an indicator to invest more in the show in this market.
Demand data can also help executives decide on content acquisition by providing insights into the popularity of a show in a particular market. For example, in Germany, "Velma" has a demand that outperforms the average TV show, indicating there is a demand for this type of content in the market. Decision-makers can use this information to assess whether acquiring "Velma" for their platform would be a reasonable investment.
Programming research for TV executives can be supported by demand data that provides insights into the viewers' interests on the local market level. In the case of "Velma," demand data has shown that the show is a comedy title and is performing exceptionally well in Germany, indicating that this type of comedy content may resonate well with Germany's audience. Based on this information, TV executives can create programming strategy for the local channel to cater to the audience's taste making programming more relevant.
Lastly, distribution decisions in other countries can be also supported through the use of demand data. The information on which country is highly in demand for Velma could lead to the decision for the distribution of the show in that country. In this case, Velma has high demand in Spain, Poland, and Ukraine, indicating that these countries could also be suitable markets for the distribution of the show.
In conclusion, entertainment industry executives can use demand data to make more informed decisions about content production, acquisition, distribution, or programming. "Velma" can serve as an example of how thorough analysis of demand data can provide insights into audience interests and how it can be used as a foundation for maximizing content distribution and engagement.
Velma's travelability to Germany in the last 30 days is 66%, which means that the audience demand for Velma is 66% of the demand in its country of origin, United States. Click through to another market to discover how well Velma travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular HBO Max‘s Velma 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 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 Velma, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Adult Comedy), using our globally standardized Demand Expressions® metric.
This page has been refreshed on March 28, 2024, 3:05 p.m. PST using global demand data from Parrot Analytics for Velma in Germany. We provide our partners with deep SVOD know-how to help them drive better and more informed content distribution strategies. Contact us today to find out more.