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 decisions when it comes to content, acquisition, distribution, and programming. Looking at the example of "Goblin" in India, we can leverage the demand data to evaluate the show's value and make smarter decisions based on that information.
One of the main benefits of demand data is that it can be used for content valuation. You can quantify the dollar value contribution of any title to any platform in any region. With "Goblin," we see that its demand is 2.3 times the average in India, which is a good indicator of its value in the market. By comparing its demand over different time periods, we can see how the show's popularity is evolving. We also know that other shows that fans of "Goblin" like, giving us an opportunity to make informed content acquisition decisions.
Demand data can be helpful in making decisions around programming. By examining demand trends, we can determine which shows are resonating with audiences in which regions and adjust our schedules accordingly. For example, we can see that demand for "Goblin" spiked in mid-February 2024. With this insight, we can make more informed decisions about scheduling and promoting the show to ensure that we are capitalizing on that increased interest in the show.
Another use for demand data is to understand what is driving audience engagement with a particular series. "Goblin" is doing well in India's romance genre, with demand higher than 97.7% of all romance titles in the region. This suggests that the romantic elements of "Goblin" are a key driver of its popularity in the country. By analyzing such data, you can make more informed decisions around what makes a show engaging for different audiences in different regions.
Finally, demand data can be helpful for making informed distribution decisions. By leveraging data on the top markets where "Goblin" is most in-demand, we can make informed decisions about where and how to distribute the show to maximize its reach and revenue potential. In particular, we can see that South Korea is the top market for "Goblin," followed by China and the United States. This can help us make decisions about where and how to market the show to audiences in those regions.
In conclusion, demand data can be a powerful tool for entertainment executives when it comes to making informed decisions about content, acquisition, distribution, and programming. Analyzing data on shows like "Goblin" can help us understand how to determine the value of a show, increase audience engagement, and make smarter decisions about distribution.
Goblin (도깨비)'s travelability to India in the last 30 days is 12%, which means that the audience demand for Goblin (도깨비) is 12% 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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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 India, 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. India, which can then be benchmarked against genre averages (e.g. Fantasy Drama), using our globally standardized Demand Expressions® metric.
This page has been adjusted on April 18, 2024, 2:03 p.m. PST using global demand metrics from Parrot Analytics for Goblin (도깨비) in India. We provide our partners with extensive subscription-video-on-demand expertise to help them drive better and more informed content licensing strategies. Contact us today to find out more.