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 can use demand data to make more informed acquisition decisions, programming decisions, and content valuation. Let's use "T.o.t.s." as an example to explore how demand data can be leveraged in this context.
One way to use demand data is to assess the value of a TV series to a platform, which is an essential aspect of content valuation. By analyzing audience demand data, we can determine how much a specific title is worth for any given platform. For "T.o.t.s.", we see that in the US, this show had an audience demand 3.3 times more than the average show over the last 30 days. This level of demand is a great indication of the show's value to streaming platforms or TV networks in the US. However, we also notice that demand for the show has been declining recently. Thus, if you're looking to acquire "T.o.t.s.", you'd want to factor in this trend when performing content valuation to ensure that the show is still worth what you believe it to be.
Another way to use demand data is to assess the demand for a specific genre or content theme globally, which will help you make more informed acquisition and content production decisions. For example, "T.o.t.s." ranks at the 88.3th percentile in the comedy genre, which means the show has higher demand than 88.3% of all comedy titles in the US. By knowing the comedy genre's high level of demand and the show's specific demand within it, you can make informed decisions about the types of comedy shows to acquire or produce.
Furthermore, you can use demand data to map local whitespaces to understand the most popular genres, regions, and themes in a specific market. For instance, we see that "T.o.t.s." has a high level of demand in the US, India, Germany, and other countries, which are great indicators of the show's popularity in those regions. You can use this to make informed distribution decisions about where to release the show in those markets and potentially target other similar regions based on their similarities to these markets.
Another way to use demand data is to inform franchise potential. The demand for spinoffs or IP franchising can be determined by assessing the popularity of the original series. "T.o.t.s." has a poor franchisability ranking, indicating that spinoffs or franchise might not be successful for this show. However, by understanding the reasons behind this ranking, producers and studios can determine which IP to develop into a franchise or create spin-offs for.
Finally, you can also use demand data to inform pre-release marketing campaigns, optimize release strategies, uncover under-monetized titles, and understand the effectiveness of your marketing campaigns regarding promoting a title. You can use various demand metrics such as the fan affinity and momentum to determine the best marketing campaign for your show.
In conclusion, by using demand data, executives can make informed content acquisition, distribution, production, programming, and content valuation decisions. The insights generated from the demand data can help you understand the show's value, target audience preferences, and the optimal release/streaming strategy, ensuring that the content you acquire or produce will resonate with the intended audience leading to popularity and profit.
This is T.o.t.s.'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 T.o.t.s. 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 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 Disney Junior 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 T.o.t.s., for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Animated Sitcom), using our globally standardized Demand Expressions® metric.
This page has been reconstructed on April 22, 2024, 2:04 p.m. PST using global television demand metrics from Parrot Analytics for T.o.t.s. in the United States. We provide our partners with essential TV series workflows to help them drive better and more informed content acquisition strategies. Contact us today to find out more.