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 executive working at an OTT platform, TV series financing company, or any other related field, demand data can help you make more informed content, acquisition, distribution, or programming decisions. Demand data can answer questions such as how popular is my show relative to the market average, what shows are my viewers watching that are similar, what genres are resonating most with my current audience, and what genres should we focus on to attract new subscribers to our SVOD service.
By examining the demand insights for "Worst Cooks in America" in February 2024 in Canada, we can observe that this show is in high demand. In fact, the show has 8.3 times the audience demand of the average show in Canada over the last 30 days. With such high demand, this show can be valued much higher than other shows that may not have as much of a dedicated following.
Moreover, the show's travelability is in good shape, meaning that it has the potential to perform well in different international markets. Its longevity and momentum are also in good shape, so you can expect this show to continue to be a popular fan favorite despite having been around for some time. In addition, the show's reach is good, which can attract more subscribers or retain engaged viewers.
Examining the metadata of "Worst Cooks in America," we can also observe that for the month of February 2024 in Canada, demand spiked mid-month. This information can be used by executives to make decisions on the best timing to release promotional content or plan the entire marketing campaign for the show to achieve the maximum potential for success.
By analyzing the top 10 global markets where the show is in high demand, you can also plan out your distribution or acquisition strategy. For instance, as the United States is the show's number one market globally, you might want to plan promotional campaigns around the show's premiere in the country.
Demand data can also help programming executives make more informed decisions about the types of shows they should produce or acquire. For example, with the show's high demand and similarity to shows like "Supermarket Stakeout" and "Anthony Bourdain: No Reservations," executives may want to consider producing similar reality shows that appeal to those who are drawn to food challenges and cooking. By using demand data, executives can create an environment that is sure to be as engaging and popular as "Worst Cooks in America."
Demand data can also be used to inform decisions best geared towards subscriber acquisition and retention. For example, executives can use demand data to identify which titles billboards and trailers to prominently feature to attract new subscribers, while also taking steps to keep current subscribers happy by investing in popular shows with high demand, like "Worst Cooks in America."
In conclusion, the analysis of "Worst Cooks In America" for the month of February in Canada demonstrates how demand data can help executives in various fields make more informed decisions about content, acquisition, distribution, and programming. Demand data highlights the show's value and popularity to audiences and helps executives to understand which shows to invest in and how to best support their platform.
Worst Cooks In America's travelability to Canada in the last 30 days is 79%, which means that the audience demand for Worst Cooks In America is 79% of the demand in its country of origin, United States. Click through to another market to discover how well Worst Cooks In America travels internationally.
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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 Food Network 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 Worst Cooks In America, for example, can be assessed for a market e.g. Canada, which can then be benchmarked against genre averages (e.g. Cooking Reality), using our globally standardized Demand Expressions® metric.
This page has been refreshed on March 28, 2024, 8:44 p.m. PST using tv demand data from Parrot Analytics for Worst Cooks In America in Canada. We provide our partners with meaningful content capabilities to help them drive better and more informed content distribution strategies. Contact us today to find out more.