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.
TV executives have a lot of questions that demand data can help answer to make informed content, acquisition, distribution, and programming decisions. For example, Parrot Analytics' content valuation system can determine the dollar value contribution of any title to any platform in any region. In March 2024, the popularity of "Man Fire Food" in the United States can serve as an example of how demand data can help TV executives make more informed decisions.
One way demand data can be used is to value content. For "Man Fire Food," it had 3.6 times the audience demand of the average show in the United States over the last 30 days. This information provides insights into how much the series is worth on the streaming platform. This show performed better than 92.7% of all reality titles in the United States, which demonstrates its value in the reality genre. Furthermore, executives can use demand data to compare the performance of "Man Fire Food" on a rolling year basis to the last 30 days to see if the show is growing in popularity. It shows that the show is increasing in popularity given that its demand peaked at 6.1 times the average in the last 30 days and 5.6 times the average over the entire year.
Demand data can also help executives understand franchise potential, momentum, and longevity. In the case of "Man Fire Food," its momentum and longevity are considered okay relative to other shows. However, its franchisability (spin-off potential) is poor, but this data can help executives make decisions on how to further monetize "Man Fire Food" through spin-offs or related franchises.
Demand data can also help with programming decisions. Executives can use data on what other shows appeal to fans of "Man Fire Food" to decide which new content to produce. The data shows that popular shows that fans of "Man Fire Food" also like are "Snapped", "Diners, Drive-Ins And Dives", "Judge Judy", "Deadliest Catch", "Drug Wars", "America's Funniest Home Videos", "Beat Bobby Flay", "Flea Market Flip" and "90 Day Fiancé: Happily Ever After?". Moreover, executives can use data on which markets perform best to decide in which markets they should place the show to maximize its value. For example, "Man Fire Food" is most in-demand in the United States, followed by Finland, and executives can use this data to target those markets.
Finally, executives can use demand data to inform marketing and promotional strategies. For example, demand data can help guide the optimal release strategy and pricing of "Man Fire Food" to maximize the show's exposure and audience reach. Additionally, executives can use data on how well "Man Fire Food" is holding up over time to decide whether to acquire new content or invest in current content that has potentially sustained demand.
In conclusion, demand data can help TV executives make informed decisions about content valuation, acquisition, distribution, and programming. The popularity of "Man Fire Food" in March 2024 provides a useful example of how demand data can be applied to better understand the performance of a show, its intrinsic value on streaming platforms, and its potential for franchise spin-offs and longevity.
This is Man Fire Food's home market and therefore its travelability is 100%; the travelability of a TV show's market of origin is always 100%. Click through to another market to discover how well Man Fire Food travels internationally.
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Over the last 7 days, people who watch Man Fire Food 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 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 Cooking Channel 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 Man Fire Food, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Cooking Reality), using our globally standardized Demand Expressions® metric.
This page has been enhanced on April 22, 2024, 2:03 p.m. PST using global tv demand metrics from Parrot Analytics for Man Fire Food in the United States. We provide our partners with extensive TV series know-how to help them drive better and more informed content advertising strategies. Contact us today to find out more.
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