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 Tim Gunn's Guide To Style compared to the weekly demand of all Fashion Reality titles in Malaysia.
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Acquire the best shows from partners such as Bravo to fortify your competitive position in Malaysia. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Tim Gunn's Guide To Style), 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 Reality 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 Bravo by incorporating country-specific trend and market demand factors for all markets including Malaysia. 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 Reality. 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 Tim Gunn's Guide To Style, including those that have not even been released. Appeal to your target markets, including Malaysia, 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 Bravo‘s Tim Gunn's Guide To Style 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 Malaysia, 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 Bravo 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 Tim Gunn's Guide To Style, for example, can be assessed for a market e.g. Malaysia, which can then be benchmarked against genre averages (e.g. Fashion Reality), using our globally standardized Demand Expressions® metric.
This page has been regenerated on Dec. 3, 2022, 1 p.m. PST using global tv demand data from Parrot Analytics for Tim Gunn's Guide To Style in Malaysia. We provide our partners with valuable media industry know-how to help them drive better and more informed content acquisition strategies. Contact us today to find out more.