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 executive of an OTT or SVOD platform or a TV production company, you can use the demand data on "Cocomelon" to make informed acquisition and programming decisions. The show has exceptional demand in the Philippines and globally across all platforms.
One of the key ways that demand data can help you is by enabling content valuation. You can use the demand data to find out how much a show is worth and how much it contributes to the value of the platform or network licensing it. For instance, the demand data on "Cocomelon" can help you estimate how much the show will cost to acquire and its economic value to the platform. You can also find out why the show should be considered a strategic asset for the platform. By evaluating the baseline value of "Cocomelon", you can determine the show's ability to drive subscriptions and mitigate churn, which can inform acquisition and programming decisions.
Furthermore, you can take advantage of demand data to make optimal acquisition decisions. By understanding the fan affinity of "Cocomelon", you can make more informed programming decisions that will keep your current audience engaged and attract new subscribers to your platform. You can also map local whitespaces to find out the most popular genres in your market, enabling you to acquire or produce content that attracts your target audience.
Demand data can also inform your pre-release marketing strategy. By analyzing audience demand for "Cocomelon" and its peers, you can optimize your marketing campaign ahead of premiere to ensure that your show is being seen by the right audience. Additionally, you can leverage demand data to power affinity analysis, which is crucial in making talent and brand partnerships that can expand your audience.
Finally, demand data can also inform your distribution decisions. You can use the demand data to find out which platforms to target for distributing your content, to compare the performance of your content against other titles available on the market, and to find new opportunity markets for content distribution.
In summary, the demand data on "Cocomelon" presents insightful metrics that can inform content valuation, acquisition, programming, marketing, and distribution decisions. By understanding the fan affinity, travelability, longevity, momentum, and reach of the show, stakeholders in entertainment can use the insights to make informed decisions that drive the success of their content or platform.
Cocomelon's travelability to Philippines in the last 30 days is 67%, which means that the audience demand for Cocomelon is 67% of the demand in its country of origin, United States. Click through to another market to discover how well Cocomelon 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 Philippines, 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 youtube 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 Cocomelon, for example, can be assessed for a market e.g. Philippines, which can then be benchmarked against genre averages (e.g. Pre-school), using our globally standardized Demand Expressions® metric.
This page has been regenerated on April 18, 2024, 2:03 p.m. PST using global tv demand content analytics from Parrot Analytics for Cocomelon in Philippines. We provide our partners with meaningful entertainment industry competencies to help them drive better and more informed content investment strategies. Contact us today to find out more.