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.
Do you work in the entertainment industry? If you do, then you understand how difficult it is to make informed content decisions, especially when you're dealing with big-budget productions. As the world becomes more interconnected, show creators are not only competing with similar shows within a region but also with shows globally. Content valuation has become a crucial aspect of decision making, and here at Parrot Analytics, we can provide you with essential demand data to ensure you make informed business decisions.
Let's take the case of "Reply 1988 (응답하라 1988)" to understand how demand data can be used to make informed content decisions. For the last 30 days in the United States, the show had 2.8 times the audience demand of the average show. This is a crucial piece of information if you're thinking about acquiring the rights to a particular TV show. Parrot Analytics' content valuation system uses demand data to reveal the dollar value contribution of any title to any platform in any region.
Using demand data, you can quantify the platform-specific marginal revenue contribution and measure how a title drives engagement across the rest of the catalog. For instance, you can estimate the audience demand a specific title will bring to your platform. If you're looking to acquire a TV series to drive subscription and mitigate churn, demand data can give you insights into how a series is performing as an acquisition-driving or churn-reducing title. You can even assess the cannibalization of audiences if a title is available on multiple services.
Another critical aspect of content valuation is the ability to map local whitespaces. Demand data is essential in mapping the most popular genres in the local market. For instance, "Reply 1988 (응답하라 1988)" ranks at the 94.4th percentile in the romance genre in December. You can use this information as a benchmark to determine whether the romance genre resonates well with your audience and get insights on what genres you need to focus on to attract new subscribers to your SVOD service.
The good thing about demand data is that it's not just limited to content valuation. It can also help you with subscriber retention. For instance, you can use demand data to determine which titles you should acquire to keep your current audience happy. Demand data can also help you with subscriber acquisition by providing insights into which titles you should purchase if you want to grow your audience.
Demand data becomes even more helpful when used in conjunction with other metrics such as travelability, franchisability, momentum, longevity, and reach. This type of analysis reveals how a show is doing in specific markets and gives you information that you can use to optimize future content investment.
In conclusion, demand data is a treasure trove of insights that can help you make more informed decisions when it comes to content acquisition, distribution, programming, and valuation. Parrot Analytics' content valuation system uses demand data to provide an economic valuation system powered by global content demand and supply. So what are you waiting for? Start using demand data to get a competitive advantage in the entertainment industry.
Reply 1988 (응답하라 1988)'s travelability to the United States in the last 30 days is 22%, which means that the audience demand for Reply 1988 (응답하라 1988) is 22% of the demand in its country of origin, South Korea. Click through to another market to discover how well Reply 1988 (응답하라 1988) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular tvN‘s Reply 1988 (응답하라 1988) 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 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 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 Reply 1988 (응답하라 1988), for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Family Drama), using our globally standardized Demand Expressions® metric.
This page has been enhanced on March 28, 2024, 7:05 p.m. PST using global demand datasets from Parrot Analytics for Reply 1988 (응답하라 1988) in the United States. We provide our partners with deep TV series workflows to help them drive better and more informed content licensing strategies. Contact us today to find out more.