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.
For entertainment executives, demand data can be pivotal in making thoughtful, informed decisions about content valuation, acquisition, distribution, and programming. By examining the demand data for "Lore" in November 2023, we can provide examples of how demand data can benefit content executives in their decision-making processes:
- Content Valuation: Demand data can help determine the value of a TV series or library. In the case of "Lore", we know that it has a strong demand of 2.9 times the average show in the United States over the last 30 days. This information can be used by executives to estimate the value of "Lore" and compare it to other shows.
- Acquisition Decisions: When deciding which titles to acquire, executives can use demand data to analyze the popularity of specific genres, or of potential partners to gauge interest. For instance, by examining the top 10 global markets where "Lore" is most in-demand, and finding it outperforms the average TV show in each market. Executives can use this information to decide if they want to acquire this show or consider alternate acquisitions.
- Programming Decisions: Demand data can help determine the programming lineup. It can assist executives in evaluating the popularity of a specific show and comparing it to other similarly performing series. In the case of "Lore", we know that audience demand for the show has decreased in the United States by 44.9% in November. Which informs executives that they need to understand why demand has dropped to make more informed decisions about what type of programming to offer. This can include repositioning the show, revising marketing strategies, or replacing the show in the programming lineup.
- Content Distribution: When deciding where to distribute content, demand data is invaluable. For instance, based on the top 10 global markets where "Lore" is most in-demand, the show has higher demand in the United Kingdom and the United States. This data can be used by distribution executives to decide where to offer this show or any other future titles.
- Longevity and Franchisability: When executives are unsure whether a show would survive after the initial release and if it can lead to a franchise or a spin-off, demand data can help forecast it. For "Lore", the Parrot Pulse reveals that its longevity is okay, and its franchisability (spin-off potential) is poor. This data can help executives decide whether or not to obtain additional seasons or pursue opportunities for adapting the show to new formats.
The demand data for "Lore" also provides additional insights, such as identifying markets with the highest demand. By examining a show's demand data, executives can make better content and programming decisions that can lead to more accurate content valuations, informed acquisition decisions, more successful programming, and efficient content distribution. These insights can help the executives stay ahead of the competition in the ever-evolving entertainment industry.
This is Lore's home market and therefore its travelability is 100%; the travelability of a TV show's market of origin is always 100%. Click through to another market to discover how well Lore travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Amazon Prime Video‘s Lore 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 Lore, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Suspense Horror), using our globally standardized Demand Expressions® metric.
This page has been adjusted on April 22, 2024, 2:01 p.m. PST using global demand datasets from Parrot Analytics for Lore in the United States. We provide our partners with smart SVOD know-how to help them drive better and more informed content acquisition strategies. Contact us today to find out more.