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.
For entertainment executives who are looking to make more informed content, acquisition, distribution, or programming decisions, demand data can provide valuable insights. Let's take the example of "Uyanış: Büyük Selçuklu" in Turkey during February 2024 and see how demand data can be used to aid decision-making.
Content valuation: Using demand data, entertainment executives can estimate the value of a TV series to a platform and assess its ability to drive subscriptions or mitigate churn. In the case of "Uyanış: Büyük Selçuklu," the show's demand data indicates it is worth investing in. With 10.5 times the audience demand of the average show in Turkey over the last 30 days, demand for the show is outstanding. It achieved the peak rank of #70 in Turkey and moved up the rank by 149 spots during February. Using demand data, executives can also estimate the potential ROI for a specific title and determine how much to spend on content.
Supply and demand decisions: Based on the demand data, executives can determine what type of content exhibits opportunity for acquisition or production. In the case of "Uyanış: Büyük Selçuklu," the show's demand data shows that it has increased by 41.6% during February in Turkey, indicating there is a growing interest in the series. This data could be used to inform decisions about producing a new season or developing a spin-off.
Programming decisions: Demand data can help executives make programming decisions by informing them about audience preferences. For example, the show's rank in the drama genre during February was at the 99.4th percentile in Turkey, indicating that it has higher demand than 99.4% of all drama titles in the country. Executives can use this data to make programming decisions about what type of content to prioritize.
Subscriber acquisition and retention: Executives can use demand data to help with subscriber acquisition and retention decisions. For example, if the goal is to retain current audiences, executives can look at what titles have high demand and use this information to determine which titles should be bought to keep the audience happy.
Global expansion: By examining the top 10 global markets where "Uyanış: Büyük Selçuklu" is most in-demand over the last 30 days, entertainment executives can determine if the show has potential for global expansion. This information can be used to decide which platforms to target for distribution and how funds should be allocated to maximize future content investments.
In summary, demand data can be used by entertainment executives in a variety of ways to make more informed decisions about content, acquisition, distribution, or programming. Using the example of "Uyanış: Büyük Selçuklu" in Turkey during February 2024, we can see how executives can use demand data to inform their decision-making and create content that has a higher chance of success.
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Our TV audience measurement dataset is truly global. Discover how popular TRT 1‘s Uyanış: Büyük Selçuklu 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 TRT 1 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 Uyanış: Büyük Selçuklu, for example, can be assessed for a market e.g. Turkey, which can then be benchmarked against genre averages (e.g. Historical Drama), using our globally standardized Demand Expressions® metric.
This page has been modified on March 29, 2024, 2:06 a.m. PST using demand datasets from Parrot Analytics for Uyanış: Büyük Selçuklu in Turkey. We provide our partners with far-reaching content analyses to help them drive better and more informed content partnership strategies. Contact us today to find out more.