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 90-60-90 Modelos compared to the weekly demand of all Romantic Drama titles in the United States.
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Acquire the best shows from partners such as Canal 9 to fortify your competitive position in the United States. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. 90-60-90 Modelos), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
Command your Drama genre niche with maximum net subscriber adds. Contact us now to harnesses audience demand data to gain insights for growing and keeping a subscriber base. Leverage a return-focused selection criteria for title acquisition from partners such as Canal 9 by incorporating country-specific trend and market demand factors for all markets including the United States. Appeal to the individuality of your audience base, taking into consideration the unique and limitless characteristics of taste clusters.
Deploy high impact entertainment marketing strategies across all genres including Drama. Contact us now to deploy demand-driven marketing, the only empirical earned media measure of your marketing spend. Access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles such as 90-60-90 Modelos, including those that have not even been released. Appeal to your target markets, including the United States, based on audience interests, enabling the personalization of campaigns to capitalize on pre-release demand.
Our TV audience measurement dataset is truly global. Discover how popular Canal 9‘s 90-60-90 Modelos 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 the United States, 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 Canal 9 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 90-60-90 Modelos, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Romantic Drama), using our globally standardized Demand Expressions® metric.
This page has been regenerated on Oct. 3, 2022, 2 p.m. PST using global tv demand metrics from Parrot Analytics for 90-60-90 Modelos in the United States. We provide our partners with smart TV series workflows to help them drive better and more informed content sales strategies. Contact us today to find out more.