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 content decisions, demand data can inform your decision-making process. In this example, we examine the show "Curious George" in India for the month of February 2024.
One of the biggest benefits of using demand data is that it helps in content valuation. By analyzing the audience demand for a particular title, you can estimate its value contribution to any platform, in any region. Using Parrot Analytics' content valuation system powered by global content demand and supply, you can quantify the platform-specific marginal revenue contribution of a title and how it drives engagement across the rest of the catalog. Additionally, it is possible to assess a TV series' ability to drive subscriptions and mitigate churn.
Demand data also provides insight into a show's global appeal, allowing you to strategize for global SVOD expansion. In the case of "Curious George," we see that it has outstanding audience demand worldwide, with a travelability ranking of good. However, its demand for the Indian market is only 19% of the demand in its country of origin, the United States. This indicates that although "Curious George" may be a valuable asset for a global SVOD platform, it may not be the best choice to focus on growth in India.
By examining the top 10 global markets where "Curious George" is most in-demand over the last 30 days, you can determine which territories will be more lucrative to target and where the show is most successful. This information is critical for programming decisions, content distribution, and acquisition decisions. In the case of "Curious George," its top global market is the United States, with an outstanding audience demand of 5.9x, which indicates that this show would be a must-have for any US-based platform or network.
Demand data can also help you to make informed decisions concerning the programming of "Curious George" on a linear network or pay TV network. By examining the show's demand over specific timeframes, you can optimize release strategy and pricing. For example, it would make sense to schedule "Curious George" during early February in India, as that's when demand spiked. You can also determine which titles should be acquired or produced to meet current demand.
Finding new opportunity markets for content distribution is another use of demand data. It is possible to identify under-monetized titles and show their growing demand, helping you to plan your marketing campaigns effectively, prioritize content investments, and allocate funding to maximize future content investments.
In summary, demand data is crucial in content valuation. It provides entertainment executives with insights into global and local demand patterns, enabling strategic decisions about acquisition, programming, distribution, or content investments. By using demand data to optimize release strategy and pricing, executives can maximize a show's monetization potential. Finally, demand data answers questions concerning franchisability, longevity, and momentum, which is essential for talent agencies, TV production companies, studios, and content distributors in maximizing return on investment.
Curious George's travelability to India in the last 30 days is 15%, which means that the audience demand for Curious George is 15% of the demand in its country of origin, United States. Click through to another market to discover how well Curious George travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Peacock‘s Curious George 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 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 Peacock 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 Curious George, for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Cartoon), using our globally standardized Demand Expressions® metric.
This page has been changed on March 28, 2024, 11:49 a.m. PST using global television demand analytics from Parrot Analytics for Curious George in India. We provide our partners with smart TV series capabilities to help them drive better and more informed content partnership strategies. Contact us today to find out more.