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, you understand the importance of analyzing audience demand data to make better content decisions. With the help of Parrot Analytics, it's possible to use demand data to make informed content, acquisition, distribution, or programming decisions. Let's take an example of "30 For 30" to understand how you can use demand data to make strategic decisions.
Content Valuation: One way to use audience demand data is to calculate the economic value of content. Using Parrot Analytics' content valuation system, you can determine the value of "30 For 30" in the United States. Currently, "30 For 30" has ten times the audience demand of the average show in the U.S. and is in the 98.8th percentile of the documentary genre, indicating that its value is high. Additionally, its increasing demand over the last thirty days indicates that its popularity has grown recently.
Creative Decisions: The demand data of the audience can be used to identify the preferences of the audience. For example, audience demand data can reveal which shows are most popular among viewers who watch "30 For 30," such as "The Walking Dead" or "True Detective." You may use this data to make informed creative decisions about how you can build upon the success of "30 For 30" by creating additional shows in the same or a related genre.
Marketing and Distribution Decisions: By examining audience demand data, you can identify the top global markets where "30 For 30" is most in-demand. In this specific example, the US had the highest demand, followed by Germany, Canada, France, and several other regions. You can use this information to optimize the marketing budget and make informed decisions on distribution, such as deciding which regions to prioritize or determine the modes of distribution in a region.
Cultural Relevance: You can use audience demand data to determine the cultural relevance of the show. In this specific example, "30 For 30" has maintained its demand over time, indicating its longevity and cultural relevance. Additionally, in the United States, "30 For 30" had a significant demand spike at the end of April 2024, indicating a potentially significant cultural moment.
Decision Making: You can use demand data to make informed decisions about the acquisition of existing content or the creation of new content. By considering the universe of competing content, you can determine if "30 For 30" is the best investment of time and resources. Additionally, you may use insights from analyzing "30 For 30" to create a scheduling lineup that maximizes audience engagement.
In conclusion, the demand data analysis of "30 For 30" provides several insights and suggestions on how to improve content decision-making. By leveraging Parrot Analytics, entertainment executives have access to detailed audience demand data that can help identify the economic value, creative decisions, marketing, distribution, cultural relevance, and decision-making for a TV series, allowing them to make informed decisions. Parrot Analytics' demand data analysis system offers a comprehensive guide to evaluating a show's popularity, its relevancy in different markets, and how it compares with other shows, providing valuable insights to entertainment executives of all kinds.
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Acquire the best shows from partners such as ESPN to fortify your competitive position in the United States. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. 30 For 30), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
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Our TV audience measurement dataset is truly global. Discover how popular ESPN‘s 30 For 30 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 the United States, 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 ESPN 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 30 For 30, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Sports Documentary), using our globally standardized Demand Expressions® metric.
This page has been adjusted on April 22, 2024, 2:01 p.m. PST using analytics from Parrot Analytics for 30 For 30 in the United States. We provide our partners with valuable subscription-video-on-demand competencies to help them drive better and more informed content distribution strategies. Contact us today to find out more.