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, it is crucial to make informed content, acquisition, distribution, and programming decisions. One effective strategy to do this is by utilizing demand data. The case of "Three Sisters" in Turkey in March 2024 can showcase how demand data can help entertainment executives make more informed decisions.
Firstly, demand data can be used to estimate content valuation. In the example above, "Three Sisters" has a demand of 14.7 times the audience demand of the average show in Turkey over the last 30 days. This indicates that the show has exceptional popularity, which can be used to price it higher than other shows in the same category. Entertainment executives can leverage content valuation systems using demand data to estimate the dollar value contribution of this show in Turkey, as well as other international markets.
Secondly, executives can use demand data to support acquisition decisions. In the example above, we can see that "Three Sisters" has higher demand than 99.6% of other drama titles in Turkey. Also, its audience demand increased by 37.1% during March. This information suggests that the show is poised to attract and retain more subscribers on a streaming platform. Therefore, entertainment executives can use demand data to identify popular shows and make acquisition decisions that will boost their subscriber growth.
Thirdly, demand data can help executives make more informed programming decisions. The fact that the show moved up in its rank by 36 spots during March and had a demand spike in late March 2024 in Turkey suggests that the programming strategy for the show has been successful. Entertainment executives can use demand data to identify the shows that have the highest demand in different regions and schedule their broadcast times accordingly to maximize audience engagement.
Lastly, entertainment executives can use demand data to inform their distribution decisions. By examining the top 10 global markets where "Three Sisters" is most in-demand over the last 30 days, we find that this TV series outperforms the demand of the average TV show (1x) in each of these markets, with Turkey being its number one market globally. This provides an insight that the show may resonate well with Turkish audiences, and can be used to target the show's distribution in that region.
In conclusion, demand data, like the one presented in "Three Sisters"'s example, can help entertainment executives make more informed decisions on content valuation, acquisition, distribution, and programming. By leveraging demand data, entertainment companies can optimize their investments, boost subscriber growth and retention, and increase their competitive edge in the market.
This is Three Sisters (Üç Kız Kardeş)'s home market and therefore its travelability is 100%; the travelability of a TV show's market of origin is always 100%. Click through to another market to discover how well Three Sisters (Üç Kız Kardeş) travels internationally.
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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 Kanal D 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 Three Sisters (Üç Kız Kardeş), for example, can be assessed for a market e.g. Turkey, which can then be benchmarked against genre averages (e.g. Family Drama), using our globally standardized Demand Expressions® metric.
This page has been altered on April 22, 2024, 2 p.m. PST using global demand analytics from Parrot Analytics for Three Sisters (Üç Kız Kardeş) in Turkey. We provide our partners with extensive television insight to help them drive better and more informed content acquisition strategies. Contact us today to find out more.