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 a TV executive, you have various questions regarding content valuation, optimal pricing and release strategy, supply and demand, content monetization, competitive benchmarking, audience acquisition and retention, and much more. In this article, we will reveal how demand data can be utilized to make informed decisions related to content acquisition, distribution, and programming. Using the example of Frasier (1993) in Canada, March 2024, we will explain various aspects of demand data and how it can be leveraged by TV executives.
Firstly, content valuation can help you determine the worth of a TV show. Demand data is a crucial factor in content valuation as it reveals the dollar value of any title to any platform in any region. In the case of Frasier (1993), it has high demand in comparison to the average show in Canada over the last 30 days. Knowing this helps you gauge the worth of this TV series to a Canadian audience.
Secondly, demand data can inform your acquisition decisions. By analyzing the audience's behavior, Parrot Analytics can answer a range of questions, including what the audience likes, which titles should you acquire to keep your current audience happy, and which franchises can lead to future growth. In the case of Frasier (1993), it has a dedicated but small fandom that likes shows such as "Bob's Burgers", "Futurama", and "Curb Your Enthusiasm." It is important to note that Frasier fans are also looking for content that has similar themes and characters to the show.
Thirdly, demand data can provide insights into reaching audiences in different regions. Knowing the popularity of a show in different markets makes it possible to craft an optimal release strategy and pricing model that appeals to your target audience. Frasier (1993) has good demand in several markets, including the United States, Canada, and Australia, which can help inform decisions on the best markets to release the show in.
Fourthly, demand data can inform your programming decisions. By analyzing the demand data of TV titles, it is possible to determine the most popular genres within a specific region. Moreover, you can create an affinity analysis of the show's audience and can identify various clusters of audience preference. In the case of Frasier (1993), it has high demand within the family genre in Canada and appeals to fans of shows such as "House of the Dragon" and "American Horror Story."
Lastly, demand data can powers competitive benchmarking. By analyzing demand data, you can compare how an individual TV show performs against other titles available in the market. In the case of Frasier (1993), it has high audience demand across multiple markets and has outranked other Family genre titles, which makes it more valuable than other titles in the same genre.
To conclude, demand data is a crucial factor in making decisions related to content acquisition, distribution, and programming. Using the example of Frasier (1993) in Canada, March 2024, this article demonstrates how demand data can inform content valuation, acquisition, marketing, and franchising decisions. Additionally, this can be used to benchmark the show against other titles and help to optimize programming decisions.
Frasier (1993)'s travelability to Canada in the last 30 days is 46%, which means that the audience demand for Frasier (1993) is 46% of the demand in its country of origin, United States. Click through to another market to discover how well Frasier (1993) travels internationally.
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Over the last 7 days, people who watch Frasier (1993) also watch:
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 NBC 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 Frasier (1993), for example, can be assessed for a market e.g. Canada, which can then be benchmarked against genre averages (e.g. Sitcom), using our globally standardized Demand Expressions® metric.
This page has been modified on April 22, 2024, 2 p.m. PST using global television demand data from Parrot Analytics for Frasier (1993) in Canada. We provide our partners with extensive television insight to help them drive better and more informed content investment strategies. Contact us today to find out more.
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