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.
Demand data is a valuable tool for TV executives to make informed content, acquisition, distribution, and programming decisions. The analysis of "Bread" in the United Kingdom provides useful insights into how demand data can be used to make informed content decisions.
One of the key applications of demand data is content valuation. Through demand data, executives can determine the value of a title, how much of a title's value is being driven by a star, and the value of a content library to a platform over time. Demand data enables parrot analytics content valuation to be based on global content demand and supply, which can help executives determine how much to spend on content.
Demand data can also be used to inform supply and demand decisions, such as acquisitions or productions. By examining audience demand for a particular genre, executives can determine what types of content have an opportunity to acquire or produce. In the case of "Bread," the show has high demand in the United Kingdom, indicating that it could be a strategic acquisition target for UK-based TV networks or streaming platforms.
Additionally, demand data can help with decisions related to subscriber acquisition and retention. By examining audience demand for different titles, executives can determine which titles will drive subscriber growth or minimize churn. In the case of "Bread," the show has higher demand than 94.7% of all comedy titles, suggesting that it could be an excellent option to retain and attract comedy-loving subscribers.
Furthermore, demand data can be used to determine the best release strategy and pricing for a particular show. Executives can examine audience demand trends over time to understand when demand is highest and optimize release schedules accordingly. Also, insights from demand can be used to optimize promotion campaigns ahead of the premiere.
Demand data can also illuminate popular genres in a particular market, helping executives make strategic decisions concerning regional targeting. For instance, the analysis of "Bread" found that it has high demand in the United Kingdom while only okay demand in other international markets. Consequently, network executives or producers should likely prioritize the UK market when promoting or acquiring "Bread" episodes.
In conclusion, the aforementioned are a few ways in which demand data can inform a range of content, acquisition, distribution, and programming decisions made by executives in the entertainment industry. Demand data provides an objective, data-based view of a shows' popularity and audience preferences, arming executives with insights that are crucial to making informed decisions.
This is Bread'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 Bread travels internationally.
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Acquire the best shows from partners such as BBC One to fortify your competitive position in the United Kingdom. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Bread), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
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Our TV audience measurement dataset is truly global. Discover how popular BBC One‘s Bread 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 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 BBC One 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 Bread, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Sitcom), using our globally standardized Demand Expressions® metric.
This page has been updated on April 22, 2024, 2 p.m. PST using demand metrics from Parrot Analytics for Bread in the United Kingdom. We provide our partners with meaningful TV industry workflows to help them drive better and more informed content advertising strategies. Contact us today to find out more.