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.
Demand data can provide insights that can help decision-makers make more informed content, acquisition, distribution, and programming decisions. Let's take a look at how demand data for "Bizim Hikaye" in Spain for the month of March 2024 can help television executives in their strategic decision-making process.
One of the key questions that demand data can answer is content valuation. By using the Parrot Analytics content valuation system, decision-makers can calculate the dollar value contribution of "Bizim Hikaye" to any platform in Spain. "Bizim Hikaye" has 7.5 times the audience demand of the average show in Spain over the last 30 days, indicating that it is a valuable asset for any platform that decides to acquire it. Moreover, the fact that demand for the show has been increasing recently is a positive sign for content valuation, indicating that its value is growing.
Another important aspect of demand data is that it enables executives to quantify the platform-specific marginal revenue contribution and how a title drives engagement across the rest of the catalog. In the case of "Bizim Hikaye," its demand spiked in late March 2024 in Spain, indicating that it has the potential to drive engagement across the rest of the catalog.
Demand data can also help with decisions concerning supply and demand. For example, executives can use demand data to determine what type of content exhibits an opportunity to acquire or produce. Given that "Bizim Hikaye" is in the romance genre and has higher demand than 99.3% of all romance titles in Spain, executives can use this information to determine if there is an opportunity to acquire or produce more romance titles.
Another important question that demand data can answer is how well a title is performing in a specific market or globally. In the case of "Bizim Hikaye," we can see that it is performing well in Spain, as demand for the show is good. Through the Parrot Pulse, executives can also measure the show's performance across six dimensions, including worldwide audience demand, travelability, longevity, momentum, franchisability, and reach.
Demand data can also provide insights into audience behavior, such as which titles fans of "Bizim Hikaye" also like. The top 10 shows that fans of "Bizim Hikaye" also like, according to demand data, include "Shameless" and "White Collar," indicating that these shows may have similar themes or appeal to a similar audience. By understanding audience behavior, executives can make informed decisions about which shows to acquire or produce.
Finally, demand data can help executives with subscriber retention and acquisition by answering questions such as which titles should be acquired to keep the current audience happy and which titles should be acquired to attract new subscribers. In the case of "Bizim Hikaye," its increasing popularity in Spain over the last 30 days may be an effective means to retain current subscribers and attract new ones.
In conclusion, demand data can be a powerful tool to help television executives make more informed content, acquisition, distribution, and programming decisions. By analyzing the demand data for "Bizim Hikaye" in Spain for the month of March 2024, executives can gain valuable insights into content valuation, audience behavior, and subscriber acquisition and retention, among other things.
Bizim Hikaye's travelability to Spain in the last 30 days is 19%, which means that the audience demand for Bizim Hikaye is 19% of the demand in its country of origin, Turkey. Click through to another market to discover how well Bizim Hikaye travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular FOX Türkiye‘s Bizim Hikaye 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 Spain, 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 FOX Türkiye 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 Bizim Hikaye, for example, can be assessed for a market e.g. Spain, which can then be benchmarked against genre averages (e.g. Family Drama), using our globally standardized Demand Expressions® metric.
This page has been reconstructed on April 22, 2024, 2:01 p.m. PST using tv demand datasets from Parrot Analytics for Bizim Hikaye in Spain. We provide our partners with far-reaching entertainment industry insight to help them drive better and more informed content acquisition strategies. Contact us today to find out more.