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 looking to make informed decision on content acquisition, distribution, and programming, demand data can provide you with valuable insights about the performance of your content. Take, for instance, the historical TV series, "Becoming Elizabeth," in Canada, which we will analyze using Parrot Analytics demand data from March 2024.
Content Valuation: Using demand data, you can calculate the economic value of "Becoming Elizabeth" in Canada and other regions where it is popular. This allows you to determine how much to spend on content acquisition or production. In March 2024, "Becoming Elizabeth" had demand 2.0 times the average show in Canada over the last 30 days. With such demand data, you can assess the show's value in the Canadian market and deduce how much it contributes to platform revenue. Also, by examining the top 10 global markets where the show is most in-demand over the last 30 days, we find that "Becoming Elizabeth" outperforms the demand of the average TV show in each of these markets. This means that the show has global appeal and could be valuable across several regions.
Programming decisions: Demand data can help you make programming decisions based on the demand trend of your content. In Canada, "Becoming Elizabeth" had a 100.1% decrease in demand, showing that audience interests are waning. However, we also noticed a demand spike in late March 2024. By understanding the viewer expectations and audience preferences through demand data, you can optimize the release strategy for your content.
Acquisition decisions: Using demand data, you can make informed decisions as to whether to acquire or produce a TV show or not. By examining the show metadata of "Becoming Elizabeth," we can observe that although it performed well, the franchisability spin-off potential is poor. This information can help you decide whether to invest resources in acquiring or producing a TV show and its potential for spin-offs or franchises.
Distribution decisions: For distribution decisions, demand data provides you with insights on which platforms to target for distribution. The demand for "Becoming Elizabeth" in Canada was 87% of the demand in its country of origin, the United States. You can deduce from this data that platforms in Canada and the United States would be ideal for distributing the content.
Understanding taste clusters and affinity analysis: By analyzing audience behavior, you can identify taste clusters, which can point to specific demographics and preferred genres. For instance, the other shows that fans of "Becoming Elizabeth" also like include "House Of The Dragon" and "Fargo." A talent agency could leverage this information when advising their clients to accept roles in similar TV shows to their previous successful projects.
To summarize, demand data is an essential tool for making informed content acquisition, distribution, and programming decisions. It allows you to assess the economic value of your content, understand audience preferences, and optimize the release strategy of your content. By obtaining insights into taste clusters and audience preferences, you can make data-driven decisions and remain competitive in an ever-changing entertainment market.
Becoming Elizabeth's travelability to Canada in the last 30 days is 65%, which means that the audience demand for Becoming Elizabeth is 65% of the demand in its country of origin, United States. Click through to another market to discover how well Becoming Elizabeth travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular STARZ‘s Becoming Elizabeth 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 Canada, 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 STARZ 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 Becoming Elizabeth, for example, can be assessed for a market e.g. Canada, which can then be benchmarked against genre averages (e.g. Historical Drama), using our globally standardized Demand Expressions® metric.
This page has been recreated on April 19, 2024, 2:03 p.m. PST using global demand analytics from Parrot Analytics for Becoming Elizabeth in Canada. We provide our partners with meaningful television capabilities to help them drive better and more informed content partnership strategies. Contact us today to find out more.