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, you are always looking for ways to make more informed content decisions. This is where demand data comes in. Parrot Analytics' demand data reveals valuable insights into a show's popularity, allowing you to make more informed decisions regarding content valuation, acquisition, distribution, and programming. Here is how Parrot Analytics' demand data can be used to analyze "The Carbonaro Effect" for the month of March 2024 in the United Kingdom.
1. Content Valuation: One of the most crucial questions that content creators and distributors often ask is how much a show is worth. Parrot Analytics' demand data helps determine this by looking at many factors such as how much the demand for a particular title is being driven by one of its stars, what is the baseline value of a title, and how much a streaming platform values the content. For "The Carbonaro Effect," the demand data reveals that the show is performing well in the United Kingdom, with 2.4 times the audience demand of the average show in the country in the last 30 days. This data can help in valuing the show and understanding the role it plays in the platform's overall strategy.
2. Acquisition Decision: In terms of acquisition, demand data can help investigate the show's performance in other countries and compare it to other similar content. For instance, according to Parrot Analytics' data, "The Carbonaro Effect" has higher demand than 94.9% of all reality titles in the United Kingdom. Parrot Analytics also provides insights into the global audience demand of the show. The show has done exceptionally well in the United States, with an outstanding audience demand of 5.3x, and it outperforms the demand of the average TV show in each of the other seven markets. Thus for a streaming service looking to acquire content or expand into new markets, "The Carbonaro Effect" can be a smart choice.
3. Distribution Decision: Demand data can also be used to inform distribution decisions. In this case, the data may show what platforms are attracting the most viewers interested in a particular show. For instance, Parrot Analytics' data shows that "The Carbonaro Effect" demand hasn't reached its potential overseas, lagging at 24% of the demand in its country of origin, the United States. This information can help content distributors to understand the potential opportunities in other markets, direct attention to different platforms, and make strategic decisions to enable an increase in demand for the show.
4. Programming Decision: Demand data can provide insights into program scheduling and audience preferences. For instance, Parrot Analytics' data reveals that other shows that fans of "The Carbonaro Effect" also like include "Sesame Street," "Impractical Jokers," and "Leah Remini: Scientology And The Aftermath." This data can help drive future programming decisions by powering strategic content pairings, cross-promotions, and genre-specific recommendations.
5. Content Optimization: Demand data can also be used for content optimization. For instance, by examining the audience demand of "The Carbonaro Effect" over different periods, you can determine which content elements elicited the most positive response from the show's audience over time. With detailed insights into these audience tastes and preferences, content creators can refine their production strategy and make more informed decisions about what elements should be highlighted in a particular show.
In conclusion, Parrot Analytics' demand data provides valuable insights to entertainment executives, helping them make informed decisions regarding content valuation, acquisition, distribution, and programming. The analysis of "The Carbonaro Effect" for the month of March 2024 in the United Kingdom provides an excellent example of how demand data can be used to drive strategic decision-making processes in the entertainment industry. By leveraging the insights gleaned from Parrot Analytics' demand data, entertainment executives can optimize their content and make informed decisions regarding their business strategies.
The Carbonaro Effect's travelability to the United Kingdom in the last 30 days is 29%, which means that the audience demand for The Carbonaro Effect is 29% of the demand in its country of origin, United States. Click through to another market to discover how well The Carbonaro Effect 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 the United Kingdom, 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 truTV 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 The Carbonaro Effect, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Entertainment Reality), using our globally standardized Demand Expressions® metric.
This page has been adjusted on April 22, 2024, 2 p.m. PST using global tv demand content analytics from Parrot Analytics for The Carbonaro Effect in the United Kingdom. We provide our partners with meaningful TV insight to help them drive better and more informed content partnership strategies. Contact us today to find out more.