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.
If you are an entertainment executive, understanding demand data is key to making informed content decisions and maximizing the value of your content. Examining the demand performance of a popular show like "Dexter" for January 2024 in Turkey can help inform content valuation.
One key use of demand data is to determine the value of a content library or individual title to a streaming platform. Parrot Analytics' content valuation system, powered by global content demand and supply, can help executives quantify the dollar value contribution of any title to any platform in any region. For example, if you know that "Dexter" has a demand 4.0 times the average show in Turkey, and that 98.7% of all mystery titles in Turkey have lower demand than "Dexter", you can use that data to help determine the worth of the show or the library to your platform.
Another way to use demand data is to inform content acquisition decisions. Using demand data, you can calculate the ROI a specific title will bring to your platform and assess a TV series' potential to drive subscriptions and mitigate churn. For example, if you can see that the demand for "Dexter" has been increasing in recent months, and that it still ranks at the 98.7th percentile in the mystery genre, you might decide to acquire the show or invest more in the promotion of "Dexter" on your platform.
Demand data also helps programming decisions by informing decisions about supply and demand. By identifying the type of content that is exhibiting opportunity to acquire or produce, executives can make more informed decisions in their content pipeline management. In the case of "Dexter", knowing that it has higher than average demand in all of the top 10 global markets, executives would likely consider programming similar content to appeal to the same audience.
Additionally, using demand data can help with subscriber acquisition and retention decisions. Knowing which titles have performed well in the past and will likely attract new subscribers, or which titles will keep current subscribers happy, can help with future programming decisions. By examining the related titles to "Dexter", executives can also identify potential partnerships with talent or brands to optimize the show's reach and marketing campaigns.
Finally, demand data can help executives understand where their content is most popular, and adjust their release strategies and pricing accordingly. By mapping local market preferences and identifying what genres are resonating most with audiences, executives can make more informed decisions about when to release certain content and at what price.
In conclusion, using demand data correctly can be a powerful tool for entertainment executives to make informed content, acquisition, distribution, and programming decisions. The performance of "Dexter" for January 2024 in Turkey highlighted the show's high demand and popularity. By using the provided metrics, executives can extract valuable insights and apply it to their next strategic decision making process.
Dexter's travelability to Turkey in the last 30 days is 26%, which means that the audience demand for Dexter is 26% of the demand in its country of origin, United States. Click through to another market to discover how well Dexter travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular SHOWTIME‘s Dexter 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 SHOWTIME 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 Dexter, for example, can be assessed for a market e.g. Turkey, which can then be benchmarked against genre averages (e.g. Crime Drama), using our globally standardized Demand Expressions® metric.
This page has been modified on Feb. 28, 2024, 1 p.m. PST using global television demand datasets from Parrot Analytics for Dexter in Turkey. We provide our partners with far-reaching TV competencies to help them drive better and more informed content advertising strategies. Contact us today to find out more.