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, how can you use demand data to make more informed decisions regarding your content, acquisitions, distribution, or programming decisions? The case of "The Owl House" in the Philippines illustrates how crucial demand data can be in making these decisions.
Using Parrot Analytics content valuation system, you can value IP and estimate what a show is worth to a platform, especially in terms of its dollar value contribution. Demand data can determine how much a streaming platform should spend on content or the value of a content library over time. In the case of "The Owl House," demand data can inform decision-making on issues such as content valuation and selection, content acquisition, marketing campaign optimization, and audience retention.
For instance, the analysis on "The Owl House" in the Philippines reveals that demand is decreasing, and fewer people are watching the show compared to the previous month. By focusing on the top 10 global markets where the TV series is most in-demand, you can make informed content and programming decisions such as figuring out the best time to release new episodes and what changes to make to the series to appeal to local audiences.
Furthermore, analyzing the market performance of "The Owl House" over a rolling year basis is crucial in understanding how the show has performed over time. The findings show that the show has had a 44.4% last 30-day increase, indicating it is gaining in popularity after a period of decline. You can use these insights to make programming decisions focused on localizing content and adjusting promotional strategies to better reach your target audience.
You can also leverage demand data to acquire new content that aligns with the preferences of your current audience. Besides, it can help you create new titles that can quickly find a receptive audience. Using data-driven insights, you can make informed decisions on how to allocate funds to maximize future content investments by assessing which content exhibits opportunity for acquisition or production.
In conclusion, demand data can be used to make informed and strategic decisions regarding content, acquisitions, distribution, or programming decisions. Incorporating data-driven insights provided by Parrot Analytics' content valuation system in an entertainment company's strategic decision-making process is essential in generating a competitive edge, optimizing content placements, and attracting and retaining audiences.
The Owl House's travelability to Philippines in the last 30 days is 25%, which means that the audience demand for The Owl House is 25% of the demand in its country of origin, United States. Click through to another market to discover how well The Owl House travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Disney Channel‘s The Owl House 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 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 Disney Channel 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 Owl House, for example, can be assessed for a market e.g. Philippines, which can then be benchmarked against genre averages (e.g. School), using our globally standardized Demand Expressions® metric.
This page has been altered on April 19, 2024, 2:02 p.m. PST using global demand content analytics from Parrot Analytics for The Owl House in Philippines. We provide our partners with valuable OTT competencies to help them drive better and more informed content investment strategies. Contact us today to find out more.