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, you can use demand data to make more informed content and distribution decisions. Examining the analysis of "Spring Baking Championship" for the month of April 2024 in the United States, we can explore the different questions that a TV executive may have and how demand data can be used to provide answers for them.
Firstly, a common question that TV executives may have is how much the show is worth. This is where content valuation using demand data comes into play. Parrot Analytics content valuation reveals the dollar value contribution of any title, including "Spring Baking Championship," to any platform in any region. Demand data is the key element of Parrot Analytics content valuation system, enabling TV executives to quantify the platform-specific marginal revenue contribution, measure the ROI a specific title will bring for any given platform, and assess a TV series' ability to drive subscriptions and mitigate churn.
Additionally, demand data facilitates the assessment of a title's global appeal. For example, "Spring Baking Championship" had good demand in the United States, with a 36.2% increase in demand during April 2024. Examining the top 10 global markets where the series is most in-demand over the last 30 days, we find that this TV show outperforms the demand of the average TV show (1x) in each of these markets, including Switzerland and Canada. This demand data enables TV executives to make more informed investment decisions.
Demand data also allows for the identification of taste clusters and optimal release strategy and pricing. The analysis shows that "Spring Baking Championship" has higher demand than 94.5% of all reality titles in the United States and that its peak demand was 6.2 times the average in the last 30 days. This highlights the potential for the show to be optimized for success through the production of new content and the use of more targeted advertising. On the other hand, its low travelability score means that it may not translate as well internationally.
The performance of the show over time and across different markets can be tracked using demand data. In the case of "Spring Baking Championship," the show has been increasing in popularity recently, with its demand of 4.9 times the average in the last 30 days exceeding its average demand over a rolling year (2.5 times the average). Additionally, demand for the show in the Netherlands and Canada is good, highlighting the potential for the show to be further promoted in these markets.
Finally, demand data can be used to inform pre-release marketing and competitive benchmarking. The analysis shows that other shows that fans of "Spring Baking Championship" also like are "The Daily Show", "Family Guy", and "The Blacklist", among others. By examining these shows and comparing their demand trends with that of "Spring Baking Championship," TV executives can make more informed decisions on their content, distribution, and acquisition strategies.
In conclusion, demand data plays a critical role in enabling entertainment executives to make more informed content, acquisition, distribution, and programming decisions. Through content valuation, the identification of global appeal, optimal release strategy and pricing, performance tracking, and competitive benchmarking, executives can leverage demand data to maximize the value of their content and remain competitive in the ever-changing entertainment landscape.
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Our TV audience measurement dataset is truly global. Discover how popular Food Network‘s Spring Baking Championship 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 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 Food Network 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 Spring Baking Championship, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Cooking Reality), using our globally standardized Demand Expressions® metric.
This page has been refreshed on April 22, 2024, 2:04 p.m. PST using tv demand metrics from Parrot Analytics for Spring Baking Championship in the United States. We provide our partners with essential television series competencies to help them drive better and more informed content licensing strategies. Contact us today to find out more.