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, understanding audience demand data can assist in making informed decisions about content acquisition or production, marketing, and distribution. Using "Troy: Fall Of A City" as an example, we can explore the different questions executives can answer with demand data.
Content valuation: Executive producers, programming directors, and heads of production can use demand data to assess the value of a title. Demand data provides the information to estimate cannibalization between multiple services and evaluate the exclusivity of the content. By knowing the audience demand for "Troy: Fall Of A City", executives can understand how this show contributes to the value of a content library or a platform over time.
Subscriber acquisition and retention: Heads of Development and Sales and Marketing executives can also leverage demand data to make decisions that support the growth of their audiences. For example, by analyzing the demand of fans who also enjoy watching "Troy: Fall Of A City", the executives can select other titles to add to their content library to appeal to a similar audience. Similarly, using demand data, the executives can use the right marketing strategies and campaigns to increase the visible awareness of the show and expand reach further.
Optimal pricing and release strategy: The creative team can also leverage demand data when developing a release strategy and pricing. Based on the recent spike of audience demand in February 2024, the creators may assume that this month tends to be favorable for attracting viewers. The creative team behind the show can consider scheduling the release of potential upcoming seasons, such as in February, to maximize chances of success.
Travelability and Franchisability: Entertainment talent agents, production companies, and studios can use demand data to determine the international market potential for a show. With another reference to "Troy: Fall Of A City", we can note that its travelability, the show's international demand relative to its home market, is poor. However, the audience demand for this show in the UK and France is good, which indicates localization of content can be tested in these specific markets. Additionally, executives can use demand data to identify the spin-off potential, or franchisability, of a show.
Finally, Competitive Benchmarking: Linear or pay TV Networks and content distributors can use demand data to benchmark shows against other titles available on the market. By understanding the audience demand for a given show, compared to other shows, executives can make informed decisions about content acquisition or distribution.
In conclusion, demand data is a strategic tool for executives to make informed content acquisition or production, marketing, and distribution decisions. Demand data can pinpoint the ideal pricing and release strategy for the content, help attract and retain subscribers, highlight franchising potential and the international market potential, and recognize competitors in the market.
This is Troy: Fall Of A City'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 Troy: Fall Of A City 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 the United Kingdom, 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 Netflix 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 Troy: Fall Of A City, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Historical Drama), using our globally standardized Demand Expressions® metric.
This page has been refreshed on March 29, 2024, 4:36 a.m. PST using demand data from Parrot Analytics for Troy: Fall Of A City in the United Kingdom. We provide our partners with comprehensive television insight to help them drive better and more informed content partnership strategies. Contact us today to find out more.