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 making content decisions, it's critical to know where your show stands in terms of audience demand. Demand data reveals the dollar value contribution of any title to any platform in any region, providing insight into how popular a particular series is relative to the market average. Using "Linlang" as an example, let's explore some of the ways demand data can help inform content decisions:
1. Content Valuation: Using demand data, a content valuation system can determine the dollar value contribution of a title to a platform. With "Linlang" having 3.1 times the audience demand of the average show in the US over the last 30 days, it indicates that the show has good demand which implies that the show can have a higher value.
2. Mapping local white spaces: Examining the top 10 global markets where "Linlang" is most in-demand over the last 30 days can give insights into where the show is most popular. The Philippines being "Linlang's" number one market globally, as the show achieved outstanding audience demand of 3.1x in the Philippines. This region-specific audience data can reveal which regions might present as white spaces for a particular genre or format.
3. Subscriber Acquisition and Retention: By understanding which titles should be bought to attract or retain subscribers, SVOD services can create more effective marketing campaigns. For "Linlang", we can see that demand for the show has been increasing recently and achieved a preeminent rank of #1707 in the United States. Moreover, audience demand for the show has increased in the US by 64.0% during January, indicating that the show may help attract new subscribers to a platform.
4. Optimal Release Strategy and Pricing: Demand data provides insight into when and how best to release a particular show to maximize its reception by audiences globally. For example, we can see that demand for "Linlang" spiked mid-January 2024 in the US. Understanding when these spikes occur can ensure a strategic release strategy that optimizes the show's success.
5. Franchisability: The demand for "Linlang" shows poor franchisability (spin-off potential) and poor reach (the number of people expressing demand for a show). Nevertheless, executives can utilize such information to make decisions to create a spin-off or franchise of a show and allocate essential funds to maximize future content investments.
By leveraging demand data, entertainment executives can make informed decisions about content acquisition, distribution, and programming, ultimately resulting in higher ROI and reduced risks in the increasingly competitive entertainment market.
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Acquire the best shows from partners such as Amazon Prime Video to fortify your competitive position in the United States. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Linlang), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
Command your genre niche with maximum net subscriber adds. Contact us now to harnesses audience demand data to gain insights for growing and keeping a subscriber base. Leverage a return-focused selection criteria for title acquisition from partners such as Amazon Prime Video by incorporating country-specific trend and market demand factors for all markets including the United States. Appeal to the individuality of your audience base, taking into consideration the unique and limitless characteristics of taste clusters.
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Our TV audience measurement dataset is truly global. Discover how popular Amazon Prime Video‘s Linlang 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 the United States, 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 Amazon Prime Video 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 Linlang, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. ), using our globally standardized Demand Expressions® metric.
This page has been enhanced on April 22, 2024, 2:05 p.m. PST using television demand data from Parrot Analytics for Linlang in the United States. We provide our partners with extensive OTT insight to help them drive better and more informed content distribution strategies. Contact us today to find out more.