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 need to be able to make data-driven and informed decisions about content acquisition, distribution, and programming. This is where demand data comes into play, and the analysis of "Liar Game" in Brazil for the month of March 2024 is a case in point.
First, let's consider content valuation. With demand data, you can determine the dollar value contribution of any title to any platform in any region. Demand data can help you to answer questions like: How much is my show worth? How much of my show's value is being driven by demand for one of its stars? Using demand data, you can quantify the platform-specific marginal revenue contribution and calculate the ROI a specific title will bring for any given platform.
Based on the analysis of "Liar Game," we can see that the show has good audience demand in Brazil, with 3.7 times the audience demand of the average show in Brazil over the last 30 days. This indicates the show may have a high value in this market. Additionally, we can see that demand for the show has been increasing recently, which may signal a growing audience that is interested in the content.
Demand data can also assist with acquisition decisions. For instance, if you want to acquire a show, you can use demand data to determine its baseline value. The analysis shows "Liar Game" achieved a peak rank of #621 in Brazil but dropped in its rank by 447 spots during the month. In addition, we see that audience demand decreased for the show by 28.2% during March in Brazil. This may indicate a lack of sustained interest in the show in this market, raising a potential red flag for acquisition.
Besides, demand data can help with programming decisions, such as scheduling and release strategy. By comparing the performance of "Liar Game" on a rolling year basis to the last 30 days, we can see that the show has increased in popularity over the last month. This could suggest that it might be a good time to release this content to capitalize on its growing popularity.
Finally, demand data can inform distribution decisions. The analysis of "Liar Game" reveals that it has good audience demand in Bulgaria, Brazil, Philippines, and Spain. This might suggest that it could be a good strategy to focus on these markets when considering distribution. Additionally, the show's demand in its country of origin, South Korea, is only okay, indicating that there might be a better opportunity to monetize and distribute the content globally.
In summary, demand data can provide valuable insights into content valuation, acquisition, programming, and distribution decisions. The analysis of "Liar Game" in Brazil for the month of March 2024 shows how demand data can be leveraged to make informed decisions, highlighting the show's growing popularity and potential value. By using demand data, entertainment executives can make data-driven decisions that can maximize revenue and drive the success of their content.
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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 Brazil, 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 Liar Game, for example, can be assessed for a market e.g. Brazil, which can then be benchmarked against genre averages (e.g. Thriller), using our globally standardized Demand Expressions® metric.
This page has been renewed on April 22, 2024, 2:05 p.m. PST using tv demand metrics from Parrot Analytics for Liar Game in Brazil. We provide our partners with meaningful media industry capabilities to help them drive better and more informed content acquisition strategies. Contact us today to find out more.
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