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, understanding audience demand can provide valuable insights for content decisions related to acquisition, distribution, programming, and content valuation. Pee-wee's Playhouse is an example of how demand data operates. First of all, by analyzing this series using demand metrics, we can establish its value in relation to the average show in Germany. With 2.6 times the audience demand of the average show in Germany over the past 30 days, we know that only 8.6% of all TV shows have this level of demand, which indicates that the show's popularity is good.
Now, let's consider further questions that we can answer by utilizing demand data. One of the significant aspects of content valuation is determining how much a particular show is worth. Demand data can assist us in this area. For instance, we can calculate the dollar value contribution of any title, to any platform, in any region, using the Parrot Analytics content valuation system based on demand data. We can also use demand data to figure out how a particular series drives engagement across the rest of the catalog and how much income it generates for a particular platform.
Understanding audience demand data also allows us to recognize scalable concept testing in creating a successful show. For instance, it helps to evaluate what elements of the content audience like best and how upcoming productions can be optimized for success. Knowing what elements of the show resonate with the audience helps to polish the story that the audience finds attractive.
Demand data allows us to understand in detail how well a series is performing, enabling us to make informed decisions. For example, we can see that "Pee-wee's Playhouse" ranks at the 95.1th percentile in the family genre in January, which means that it has higher demand than 95.1% of all family titles in Germany. Also, we can notice a drop in its rank by 1962 in Germany, which provides information that we need to investigate why demand for the show has decreased in the region.
Moreover, we can leverage demand data to make decisions about subscriber retention and acquisition. We can analyze which titles can retain a particular audience and which titles will attract new subscribers to our platform, respectively. This data will allow us to make an informed decision about what titles to acquire or produce for our platform.
Next, understanding audience demand data also enables us to make informed strategy decisions concerning the release and pricing of content. By examining the demand during the month, we can determine the perfect timing to release new content or how to schedule re-runs of the old ones to gain maximum attention and engagement.
Demand data also powers competitive benchmarking, giving us the opportunity to compare a particular show against other titles available on the market and to analyze their performances, strengths, and weaknesses. With this data, we can easily identify gaps in the market, locate the most popular genres in our local market for further content development.
Finally, franchiseability answers questions about how we can monetize IP further for a show through spin-offs or franchises. As for the case of "Pee-wee's Playhouse" – it has a poor franchisability score, which shows that the spin-off potential (if any) is unlikely to lead to substantial income. We can also see that in January, audience demand for the show decreased by 60.4%, which highlights the franchise's current poor performance and provides us with the insights to investigate further, develop a new strategy, and provide a solution.
In conclusion, demand data, as demonstrated by the example of "Pee-wee's Playhouse," provides a wealth of information that can assist entertainment executives in making informed decisions. Understanding the audience's reaction to a particular show allows executives to make informed decisions about content valuation, acquisition, distribution, programming, franchiseability, sustainability and the competitiveness of their platform. Demand data also lets us learn about the audience's demographics and their preferences to develop quality and engaging content.
Pee-wee's Playhouse's travelability to Germany in the last 30 days is 15%, which means that the audience demand for Pee-wee's Playhouse is 15% of the demand in its country of origin, United States. Click through to another market to discover how well Pee-wee's Playhouse travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular CBS‘s Pee-wee's Playhouse 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 CBS 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 Pee-wee's Playhouse, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. School), using our globally standardized Demand Expressions® metric.
This page has been adjusted on March 28, 2024, 7:01 p.m. PST using global tv demand datasets from Parrot Analytics for Pee-wee's Playhouse in Germany. We provide our partners with meaningful content workflows to help them drive better and more informed content partnership strategies. Contact us today to find out more.