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 television executive, you are always looking for ways to make more informed content, acquisition, distribution, and programming decisions. A crucial aspect of decision-making is understanding the audience demand for the content. Parrot Analytics provides valuable data that can help inform these decisions.
Let us take an example of "Goblin" for the month of February 2024 in Canada, to understand how demand data is useful. Firstly, we can see that "Goblin" has a demand of 2.1 times the audience demand of the average show in Canada over the last 30 days and is higher than 96.5% of all romance titles in Canada. Demand for this show has been increasing recently. Additionally, the Parrot Pulse for "Goblin" provides an independent measure of its global performance across six dimensions, and shows that audience demand for the show has been maintained over time and its reach is good.
We can also see the top 10 global markets where "Goblin" is most in-demand over the last 30 days, and how these compare to the average TV show in each market. This data shows that "Goblin" outperforms the demand of the average TV show in each of these markets.
This data can help you make better content valuation decisions. For instance, using demand data, we can calculate the ROI a specific title will bring for any given platform. Hence, being able to understand the market demand for a particular title can help to make informed decisions on whether content is worth investing in and how much to spend on the content.
Also, demand data helps understand the platform-specific marginal revenue contribution and how a title drives engagement across the rest of the catalog. This helps in distribution decisions and in making programming decisions. By understanding the market demand and strengths of a particular title, OTT platforms can make informed decisions on which platform and region to distribute the content to attract its target audience, increasing subscriber retention and growth.
Demand data powers scalable concept testing, which can help determine which elements of existing content fans like the most, and how entertainment executives can optimize upcoming productions for success. This data also helps to inform decisions concerning supply and demand, such as what type(s) of content exhibit an opportunity to acquire or produce.
Looking at the example of "Goblin", we can also see the trending shows being watched by the show's fans such as "Three-Body (三体)", "Reply 1988 (응답하라 1988)", "The Lord Of The Rings: The Rings Of Power", and "Vincenzo (빈센조)". By identifying trending shows watched by fans, OTT platforms and TV networks can make better acquisition decisions and schedule programming that aligns with audience preferences.
In conclusion, demand data provides valuable insights that help entertainment executives make better content, acquisition, distribution, and programming decisions. By understanding the market demand for content, entertainment executives can make more informed decisions, increasing audience engagement and retention on their platforms.
Goblin (도깨비)'s travelability to Canada in the last 30 days is 7%, which means that the audience demand for Goblin (도깨비) is 7% of the demand in its country of origin, South Korea. Click through to another market to discover how well Goblin (도깨비) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular tvN‘s Goblin (도깨비) 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 tvN 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 Goblin (도깨비), for example, can be assessed for a market e.g. Canada, which can then be benchmarked against genre averages (e.g. Fantasy Drama), using our globally standardized Demand Expressions® metric.
This page has been renewed on April 18, 2024, 2:03 p.m. PST using tv demand metrics from Parrot Analytics for Goblin (도깨비) in Canada. We provide our partners with far-reaching subscription-video-on-demand expertise to help them drive better and more informed content licensing strategies. Contact us today to find out more.