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.
If you are an entertainment executive looking to make more informed content decisions, the analysis of "How To Be A Bookie (Bookie)" for March 2024 in the United States highlights how demand data can be valuable in assessing a TV series' performance, popularity, and global appeal.
Content Valuation: One of the primary ways demand data can be used is in content valuation. By analyzing audience demand, we can answer questions such as how much is this show worth to a streaming platform, or to a TV network? How can we quantify a show's ability to drive subscriptions and retention? "How To Be A Bookie (Bookie)" has an outstanding demand in the United States, meaning that it is worth more than many other TV shows airing in the same region. Despite a 4.2% decrease in audience demand in March, the show still had exceptional demand. Its Peaking Rank also shows that it had a strong initial push in the United States.
Programming Decisions: Demand data can also inform programming decisions. For example, you can determine which elements of existing content resonate the most with fans, or which upcoming productions are likely to succeed. This kind of information is particularly useful if you're making decisions about which shows to invest in, acquire, or distribute. "How To Be A Bookie (Bookie)" has fans who also like other shows such as Fargo, a Murder At The End Of The World, and Rick And Morty. Therefore, knowledge of these shows and their audience can guide decisions about which programs fans may be interested in.
Distribution Decisions: Distributors, studios, and content programmers may need to decide on the best markets to target and how to reach these markets. By examining the top 10 global markets where the TV series is most in-demand over the last 30 days, we can determine where "How To Be A Bookie (Bookie)" is most popular. The United States is the show's number one market globally. Additionally, we realized that the show outperforms the demand of the average title in each of the top 10 markets that it is most in-demand.
Marketing and Release Strategy: Another way demand data can be used is to optimize marketing campaigns, understand the best release strategy for a program, and set pricing. Information about a show's performance can help service providers or studios to decide whether to increase marketing spend or rely on sustained demand. "How To Be A Bookie (Bookie)" has good momentum and longevity, indicating that sustained marketing and releases can be a good investment for the show.
Franchising and Spinoffs: Given that "How To Be A Bookie (Bookie)"'s franchisability is poor, studios may want to reassess whether spin-offs would be successful they may also use this information when selecting IP to be developed into a franchise.
In conclusion, demand data is essential in the strategic decision-making process of the entertainment industry. Using the example of "How To Be A Bookie (Bookie)," demand data has a wide range of applications, including content valuation, programming and distribution decisions, release strategy, and franchisability. Parrot Analytics provides the necessary data for global entertainment executives to make informed decisions for a wide range of entertainment fields.
This is How To Be A Bookie (Bookie)'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 How To Be A Bookie (Bookie) 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 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 HBO Max 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 How To Be A Bookie (Bookie), for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Dark Comedy), using our globally standardized Demand Expressions® metric.
This page has been reconstructed on April 22, 2024, 2:03 p.m. PST using global tv demand analytics from Parrot Analytics for How To Be A Bookie (Bookie) in the United States. We provide our partners with extensive television workflows to help them drive better and more informed content investment strategies. Contact us today to find out more.