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 in charge of decision making for your platform, it's important to have a deep understanding of audience demand for your content. One way to achieve this is by using data-driven insights to make informed content decisions, including content valuation, acquisition, distribution, and programming decisions. Let's examine how demand data for "Alias" in January 2024 in Brazil can be leveraged to make more informed content and business decisions.
# Content Valuation:
Content valuation is the process of determining the economic value of a TV show or movie based on its demand. We can use the demand data for "Alias" to answer several questions. Firstly, we can estimate the show's long-term value to our platform by comparing its demand to the average TV show. In January 2024, "Alias" had good audience demand, being 2.0 times the average in Brazil. It's peak demand has recently increased by 24.8%, indicating increasing popularity among viewers. The show's performance is outstanding in terms of its longevity, as audience demand is maintained over time. We can also use the data to determine the show's value as an acquisition-driving or churn-reducing title.
# Programming Decisions:
By examining the demographic makeup of "Alias"s' audience in Brazil, we can use this to program and target content that appeals to similar audiences. The demand data for "Alias" shows that it is highly sought after among drama series audiences in Brazil, with its demand higher than 93.8% of all drama titles. In addition, the data reveals that the show is popular among viewers of popular series such as "House Of The Dragon", "Yellowstone", and "Game Of Thrones".
# Acquisition Decisions:
We can also leverage the demand data for "Alias" to make informed acquisition decisions. For example, we can identify other TV series that have similar audience interest levels to "Alias", including those who like "House Of The Dragon", "Yellowstone", and "Game Of Thrones", and consider acquiring or producing content that fits those niches in order to attract similar audiences and grow our platform.
# Distribution Decisions:
When considering distributing "Alias" globally, we can use demand data to determine which countries the show will be most successful in. The data reveals that "Alias" is most popular in the US, France, and the UK, and has relatively good demand rates in China, Canada, Italy, and the Netherlands. We can also use demand data to determine optimal release strategy and pricing for our content. By monitoring demand data, we can identify spikes in interest to ensure that the content is being released at the most optimal time.
# Additional Strategic Decisions:
Lastly, we can also use demand data to answer various strategic questions that arise in the process of running any entertainment platform. This includes identifying areas where we can expand by creating spin-offs or developing franchises for shows that have high franchisability potential. We can also use demand data to make decisions about market expansion, investor relations, talent acquisition, or pre-release marketing, and to prioritize content library acquisition to increase engagement and retain customers.
In sum, demand data can be used to inform a broad range of content, business, and strategic decisions across the entire landscape of the entertainment industry. By closely monitoring audience demand for each title, entertainment executives can make data-driven decisions to ensure long-term growth for their platform.
Alias's travelability to Brazil in the last 30 days is 19%, which means that the audience demand for Alias is 19% of the demand in its country of origin, United States. Click through to another market to discover how well Alias travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular abc‘s Alias 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 Brazil, 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 abc 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 Alias, for example, can be assessed for a market e.g. Brazil, which can then be benchmarked against genre averages (e.g. Spy Action), using our globally standardized Demand Expressions® metric.
This page has been recreated on April 22, 2024, 2:01 p.m. PST using global television demand data from Parrot Analytics for Alias in Brazil. We provide our partners with far-reaching SVOD competencies to help them drive better and more informed content acquisition strategies. Contact us today to find out more.