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.
The following chart shows a 60-day trend of weekly demand for 1899 compared to the weekly demand of all Fantasy Drama titles in Russia.
1899's travelability to Russia in the last 30 days is 47%, which means that the audience demand for 1899 is 47% of the demand in its country of origin, Germany. Click through to another market to discover how well 1899 travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Netflix‘s 1899 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 Russia, 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 Netflix 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 1899, for example, can be assessed for a market e.g. Russia, which can then be benchmarked against genre averages (e.g. Fantasy Drama), using our globally standardized Demand Expressions® metric.
This page has been altered on Feb. 1, 2023, 1 p.m. PST using global television demand metrics from Parrot Analytics for 1899 in Russia. We provide our partners with far-reaching television series insight to help them drive better and more informed content investment strategies. Contact us today to find out more.