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, using demand data can enable you to make informed content, acquisition, distribution, and programming decisions. A great example of how demand data can be used is through an analysis of the TV series "Dynasty (2017)" in Turkey in December 2023.
One key way that demand data can be specifically leveraged to help executive decision-making is through content valuation, which ties into the value of a title. By using demand data from Parrot Analytics, an executive can determine how much a series or an entire library is worth to their platform or a potential acquirer. Demand data helps determine how popular a show is, where the shows have the highest demand, which demographics demand the show the most, and how high the demand spikes are. This allows executives to calculate the ROI that a specific title will bring for their platform and assess a TV series' ability to drive subscriptions and minimize churn.
For instance, based on the analysis of "Dynasty (2017)" in Turkey in December 2023, we can see that the show performs better than 98.4% of all drama titles in Turkey, affirming its popularity in Turkey. Its demand in Turkey has been increasing, with demand up by 161.3% in December 2023 alone. Moreover, the show's reach is outstanding, showcasing that the show has several dedicated fans in Turkey. These findings demonstrate that the show may be a strategic asset for a streaming platform, as it could help with subscriber acquisition and retention, and increase engagement across the rest of the catalog if added to a platform. By evaluating the TV show's relative performance, executives can also make informed decisions about how much to spend on producing, distributing or acquiring similar content.
Furthermore, executives can use demand data for finding international opportunities for their content, as travelability answers questions like which genre of content is popular in a specific country. In "Dynasty (2017)" analysis, the show has good travelability, meaning that this show would perform well in countries outside of the US. Knowing this, executives can determine which platforms to target for the distribution of their content and look into untapped markets for further global SVOD expansion opportunities.
Demand data can also help executives with content acquisition decisions. For instance, "Dynasty (2017)" analysis showcases that the show's demand has increased recently, suggesting that the show is still capturing the attention of people months after its finale. This could encourage an executive to acquire the show's rights for their platform. Similarly, evaluating the show's affinity analysis could also guide an executive in determining which brands or talents to partner with to expand their audience.
In conclusion, demand data can play an essential role in entertainment executives' decision-making processes. By examining various dimensions of a TV show's demand like travelability, momentum, longevity, franchisability, and reach, executives can make informed content, acquisition, distribution, and programming decisions, and assess the show's valuation. Hence, demand data is crucial in quantifying the monetary value the TV show can bring to the platform.
Dynasty (2017)'s travelability to Turkey in the last 30 days is 40%, which means that the audience demand for Dynasty (2017) is 40% of the demand in its country of origin, United States. Click through to another market to discover how well Dynasty (2017) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular the cw‘s Dynasty (2017) 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 Turkey, 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 the cw 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 Dynasty (2017), for example, can be assessed for a market e.g. Turkey, which can then be benchmarked against genre averages (e.g. Soap Opera), using our globally standardized Demand Expressions® metric.
This page has been reconstructed on April 22, 2024, 2:01 p.m. PST using global demand metrics from Parrot Analytics for Dynasty (2017) in Turkey. We provide our partners with comprehensive content competencies to help them drive better and more informed content licensing strategies. Contact us today to find out more.