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 entertainment executives, having access to demand data can be crucial in making informed decisions about content valuation, content acquisition, distribution, and programming decisions. Demand data can provide information on audience preferences and behavior, helping to uncover opportunities for growth and reducing the risk of making poor investment decisions.
Using "Victorious" as an example, we can see how demand data can be applied to various areas of decision-making. Over the last 30 days in India, the show has demonstrated strong audience demand. We see that demand for "Victorious" is 3.2 times the average show in India, suggesting that it is a valuable asset for any platform that could acquire it. Comparing this to demand over the last 90 days, we see that it has increased recently, indicating that it is an upward trend.
In terms of content valuation, executives can use demand data to determine the worth of a title. It can answer questions like, "How much is my show worth?" and "What is the baseline value of a title?" For example, with "Victorious", executives can use demand data to estimate the show's value in various markets and the potential revenue that it could generate.
Demand data is also useful for acquisition decisions. It can help identify whether a title is worth acquiring and whether it has the potential to meet audience demand on a platform. In the case of "Victorious", a company could be confident in its decision to acquire the show seeing that it has a strong demand in India and ranks in the 97.9th percentile in the music genre within the country.
Distribution decisions can also be made using demand data, as it helps identify which regions are most receptive to certain types of content. Additionally, it can indicate which platforms would be the most appropriate to distribute a particular show. Using "Victorious" as an example, companies could distribute the show to platforms that are popular in India, as it is clear from demand data that there is an audience for the show in the country.
Programming decisions could also be made using demand data, which can provide insights to when it's best advisable to release a show. For instance, if companies are looking to release a show with a similar audience appeal to "Victorious", they might consider featuring it on their platform during a period when audience demand is spiking, such as late March in India.
In conclusion, demand data provides a powerful tool for any company involved in the entertainment industry. Through the analysis of a TV show like "Victorious," we see how demand data can contribute to more informed decision-making regarding content valuation, content acquisition, distribution, and programming decisions. The application of demand data could help identify untapped potential and leverage the current trends that could lead to a competitive edge in the entertainment industry.
Victorious's travelability to India in the last 30 days is 18%, which means that the audience demand for Victorious is 18% of the demand in its country of origin, United States. Click through to another market to discover how well Victorious 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 India, 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 Nickelodeon 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 Victorious, for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Teen Sitcom), using our globally standardized Demand Expressions® metric.
This page has been recreated on April 22, 2024, 2 p.m. PST using television demand datasets from Parrot Analytics for Victorious in India. We provide our partners with deep television capabilities to help them drive better and more informed content partnership strategies. Contact us today to find out more.