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 are always on the lookout for content that will appeal to your target audience. However, with so much competition, it can be challenging to determine which shows will perform best. That's where demand data comes in, and Parrot Analytics is the tool you need to make informed decisions. Using the example of "Kurulus: Osman" in Russia, let's discuss how demand data can help you make better decisions.
Content Valuation:
Parrot Analytics provides dollar value contribution of any title to any platform in any region, based on global content demand. In the case of "Kurulus: Osman," we can see that demand for the series has been increasing in Russia in October 2023, and this show has outstanding demand with a peak rank of #79. "Kurulus: Osman" ranks at the 99.5th percentile in the history genre, indicating that its demand is higher than 99.5% of all history titles in Russia. These statistics can be useful for determining the value of "Kurulus: Osman" to a Russian SVOD platform as part of a content valuation exercise.
Content Acquisition:
Using demand data, you can identify which titles to acquire. For instance, examining the top 10 global markets where "Kurulus: Osman" is most in-demand over the last 30 days reveal that this TV series outperforms the demand of the average TV show in each of these markets. This information indicates "Kurulus: Osman" would be an excellent acquisition for global platforms looking to expand their reach and meet the demands of their audience.
Programming Decisions:
Demand data can help you make better programming decisions. For example, by examining the Parrot Pulse for "Kurulus: Osman," you can determine that the series has outstanding travelability or international demand relative to its home market. Executives can then strategize when to release the series in specific markets to best capitalize on its demand for it.
Distribution Decisions:
If you are a content distributor, you can use demand data to find new opportunity markets for content distribution. Examining where "Kurulus: Osman" has high demand can aid identifying what markets to enter. For instance, in Russia, we see that "Kurulus: Osman" had a 6.8% increase in audience demand. This insight can indicate that it may be worth making it available through local cable operators or VOD platforms in Russia.
Content Marketing:
Demand data informs pre-release marketing decisions. "Kurulus: Osman" has a favorable momentum, indicating a good pace of growth in demand. It is also worth noting that the show has good franchisability, as there may be opportunities for spin-offs or franchise development. By incorporating these insights, executives can effectively market the series in a way that attracts new viewers while guiding the show's growth towards franchise development.
Using demand analytics from Parrot Analytics as part of your data strategy will provide you with a competitive edge and better decision-making processes by providing valuable insights that aid in determining the value of a title, selecting titles for acquisition, planning international releases and market expansion, making informed content investments, and optimizing marketing campaigns. Using "Kurulus: Osman" as an example, we have highlighted how demand data can be used to help entertainment executives make more informed decisions and optimize content investments.
Kurulus: Osman's travelability to Russia in the last 30 days is 57%, which means that the audience demand for Kurulus: Osman is 57% of the demand in its country of origin, Turkey. Click through to another market to discover how well Kurulus: Osman travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular ATV‘s Kurulus: Osman is in any of the following selected markets. Need data for other markets? Find out more about DEMAND360LITE.
Over the last 7 days, people who watch Kurulus: Osman also watch:
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 Russia, 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 ATV 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 Kurulus: Osman, for example, can be assessed for a market e.g. Russia, which can then be benchmarked against genre averages (e.g. Action Drama), using our globally standardized Demand Expressions® metric.
This page has been revised on April 18, 2024, 2:02 p.m. PST using global demand content analytics from Parrot Analytics for Kurulus: Osman in Russia. We provide our partners with valuable entertainment industry workflows to help them drive better and more informed content acquisition strategies. Contact us today to find out more.
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