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 working in various fields, demand data can be a critical tool to make informed content decisions, acquisitions, programming, or distribution decisions. Let us take the series "Central Park" in Brazil for January 2024 to showcase how demand data can be used to make decisions.
Firstly, demand data can help in content valuation. Parrot Analytics content valuation system leverages demand data to reveal the dollar value contribution of any title, to any platform, in any region, and answer questions such as the baseline value of a title or how much a series is worth. In the case of "Central Park" in Brazil, it has 3.7 times the audience demand of the average show, indicating that it has good demand. Further, only 8.6% of all TV shows in Brazil have this level of demand, indicating "Central Park" has good demand compared to other shows. As a result, executives can use this information to estimate the value of the title and set a fair price accordingly, either to acquire the license or maximize the revenue from the title.
Demand data can help in program and acquisition decisions. Comparing the show's performance on a one-year rolling basis versus the last 30 days indicates that the show has seen an increase in popularity. The peak demand for "Central Park" in the last 30 days was 5.0 times the average, a 4.8% increase from its peak of 4.7 times the average for the entire year, indicating that demand is increasing. Additionally, executives can use demand data to assess the TV series' ability to drive subscriptions and mitigate churn, and determine which titles to buy to keep the current audience happy or grow the audience.
Demand data can guide distribution decisions. By analyzing the top 10 global markets where "Central Park" is in-demand, executives can identify the markets the show is performing well in and where it might flop. In Brazil, its audience demand is good, outperforming the average TV show. Executives can scrutinize consumer behavior trends in other markets and regions to identify markets ripe for expansion. Travelability measures a show's international demand relative to its home market, and for "Central Park," it is okay, indicating that there is scope to expand this show's audience in other countries or regions.
Lastly, demand data can be used to make programming decisions. In January, audience demand for "Central Park" decreased in Brazil by 12.0%. However, by examining the demand spikes in late January, executives can analyze why demand went up and see if they can replicate the success. Affinity analysis provides insights into viewer behavior, such as identifying the best talent, identifying the brand to partner with, or finding TV shows to help with subscriber acquisition or retain subscribers. Using demand data, executives can make informed choices concerning the timing and release strategy for "Central Park" in Brazil.
In conclusion, demand data is an invaluable tool for entertainment industry executives, enabling them to make informed decisions regarding content valuation, program, acquisition, distribution, and programming. In the case of "Central Park" in Brazil, demand data provided insights into the show's market performance, fans preferences, timing, and popularity, all of which can help executives make informed choices and maximize revenue.
Central Park's travelability to Brazil in the last 30 days is 6%, which means that the audience demand for Central Park is 6% of the demand in its country of origin, United States. Click through to another market to discover how well Central Park travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Apple TV+‘s Central Park 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 Brazil, 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 Apple TV+ 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 Central Park, for example, can be assessed for a market e.g. Brazil, which can then be benchmarked against genre averages (e.g. Animated Sitcom), using our globally standardized Demand Expressions® metric.
This page has been reconstructed on April 17, 2024, 2 p.m. PST using global tv demand data from Parrot Analytics for Central Park in Brazil. We provide our partners with comprehensive OTT capabilities to help them drive better and more informed content distribution strategies. Contact us today to find out more.