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 working at an OTT or SVOD platform, understanding the current demand for TV shows is critical. The demand data can provide valuable insights into how fans are interacting with a particular show. In this context, let's take the example of "Hazbin Hotel" for the month of March 2024 in Canada. According to the demand data, this show has exceptional demand, with 87.1 times the audience demand of the average show in Canada over the last 30 days. Only 0.2% of all TV shows have this level of demand.
Moreover, "Hazbin Hotel" has moved up in its rank by 0 spots during March in Canada, achieving the peak rank of #1 in the country. It ranks at the 100.0th percentile in the drama genre, in March, which means "Hazbin Hotel" has higher demand than 100.0% of all drama titles in Canada. Additionally, the show's audience demand in Canada has increased by 12.8% during March. The demand for the show spiked early in March, indicating its popularity is rising.
As an entertainment executive, you can leverage this information to make more informed decisions about content acquisition or distribution. Demand data can be used to understand how much a particular title is worth to a platform and to estimate the return on investment of the content. Understanding how a show's ranking has changed over time can be used to identify potential issues with the content and come up with strategies to mitigate them. The data can also help you identify fan preferences and viewership trends that can inform your programming decision or content creation.
Furthermore, demand data can help you with competitive benchmarking. In the case of "Hazbin Hotel," you can use the show's demand data to compare it against other shows available in Canada and identify how it is performing relative to the market average. The high demand for "Hazbin Hotel" in Canada highlights its potential for expanding into other international markets.
Demand data can also help with subscriber retention and acquisition. By examining the top ten global markets where "Hazbin Hotel" is most in-demand, you can identify which territories the show is performing well in and make decisions to acquire or distribute the content in those countries. Knowing which other shows "Hazbin Hotel" fans like can inform platform executives on what other titles they should consider including in their programming slate to offer a varied content portfolio and entice consumers to maintain or grow their subscriptions.
Finally, content valuation is an area where executives can leverage demand data to derive relevant insights and evaluate a show's financial potential. In the case of "Hazbin Hotel," exceptional demand figures across different regions highlight the content's potential to be a valuable investment opportunity for platforms and distributors alike. Leverage demand data to derive insights on how much your title might be worth to support negotiations or pricing decisions and identify opportunity markets where you can distribute and monetize the content.
In conclusion, understanding the demand for content can give entertainment executives a better understanding of their audiences and inform more effective decision-making related to content creation, acquisition, distribution and program management. Demand data is a valuable resource that can be used to identify emerging trends, assess valuation, benchmark competitiveness, and understand audience preferences and consumption habits.
Hazbin Hotel's travelability to Canada in the last 30 days is 40%, which means that the audience demand for Hazbin Hotel is 40% of the demand in its country of origin, United States. Click through to another market to discover how well Hazbin Hotel travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Amazon Prime Video‘s Hazbin Hotel 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 Canada, 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 Amazon Prime Video 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 Hazbin Hotel, for example, can be assessed for a market e.g. Canada, 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, 2:03 p.m. PST using demand datasets from Parrot Analytics for Hazbin Hotel in Canada. We provide our partners with essential OTT insight to help them drive better and more informed content acquisition strategies. Contact us today to find out more.